Notes
Article history
The research reported in this issue of the journal was commissioned and funded by the HTA programme on behalf of NICE as project number 11/74/01. The protocol was agreed in November 2012. The assessment report began editorial review in October 2013 and was accepted for publication in January 2015. The authors have been wholly responsible for all data collection, analysis and interpretation, and for writing up their work. The HTA editors and publisher have tried to ensure the accuracy of the authors’ report and would like to thank the reviewers for their constructive comments on the draft document. However, they do not accept liability for damages or losses arising from material published in this report.
Declared competing interests of authors
David Scott has received honoraria within the last 3 years for providing advice to Merck Sharp & Dohme Corp., UCB Pharma and Bristol-Myers Squibb: these values were less than £1000. Additionally, David Scott has received grants from Arthritis Research UK and the National Institute for Health Research in connection with rheumatoid arthritis.
Corrections
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This article was corrected in November 2016. See Stevenson M, Archer R, Tosh J, Simpson E, Everson-Hock E, Stevens J, et al. Corrigendum: Adalimumab, etanercept, infliximab, certolizumab pegol, golimumab, tocilizumab and abatacept for the treatment of rheumatoid arthritis not previously treated with disease-modifying antirheumatic drugs and after the failure of conventional disease-modifying antirheumatic drugs only: systematic review and economic evaluation. Health Technol Assess 2016;20(35):611–614. http://dx/doi.org/10.3310/hta20350-c201611
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Copyright statement
© Queen’s Printer and Controller of HMSO 2016. This work was produced by Stevenson et al. under the terms of a commissioning contract issued by the Secretary of State for Health. This issue may be freely reproduced for the purposes of private research and study and extracts (or indeed, the full report) may be included in professional journals provided that suitable acknowledgement is made and the reproduction is not associated with any form of advertising. Applications for commercial reproduction should be addressed to: NIHR Journals Library, National Institute for Health Research, Evaluation, Trials and Studies Coordinating Centre, Alpha House, University of Southampton Science Park, Southampton SO16 7NS, UK.
Chapter 1 Background
Description of health problem
Aetiology
Rheumatoid arthritis (RA) is a chronic inflammatory disease characterised by progressive, irreversible, joint damage, impaired joint function, and pain and tenderness caused by swelling of the synovial lining of joints and is manifested with increasing disability and reduced quality of life. 1 The primary symptoms are pain, morning stiffness, swelling, tenderness, loss of movement, fatigue and redness of the peripheral joints. 2,3 RA is associated with substantial costs, both direct (associated with drug acquisition and hospitalisation) and indirect (owing to reduced productivity). 4 RA has long been reported as being associated with increased mortality,5,6 particularly due to cardiovascular events. 7
Epidemiology
The initial classification criteria for RA were produced in 1987 by the American College of Rheumatology (ACR). 8 The National Institute for Health and Care Excellence (NICE) Clinical Guideline (CG) 799 provides a summary of the ACR criteria, namely that patients must have at least four of the seven criteria (morning stiffness lasting at least 1 hour; swelling in three or more joints; swelling in hand joints; symmetrical joint swelling; erosions or decalcification on radiograph of hand; rheumatoid nodules; and abnormal serum rheumatoid factor). The first four criteria must have been present for at least a period of 6 weeks. However, in the CG the guideline development group preferred a clinical diagnosis of RA rather than the ACR criteria because ‘an early persistent synovitis where other pathologies have been ruled out needs to treated as if it is RA to try to prevent damage to joints. Identification of persistent synovitis and appropriate early management is more important than whether the disease satisfies classification criteria’, referencing the European League Against Rheumatism (EULAR) recommendations. 10
In 2010 the ACR and EULAR jointly published Rheumatoid Arthritis Classification Criteria, which focused on features at earlier stages of disease that are associated with persistent and/or erosive disease rather than defining the disease by its late-stage features. 11 The classification criteria allocate scores to characteristics of joint involvement, serology, acute-phase reactants and duration of symptoms, to produce a score between 0 and 10, inclusive, with those scoring ≥ 6 and with obvious clinical synovitis being defined as having ‘definite RA’ in the absence of an alternative diagnosis that better explains the synovitis.
Two classifications have dominated the measurement of improvement in RA symptoms: (1) ACR responses;12 and (2) EULAR responses. 13
The initial ACR response was denoted as an ACR20, which required a 20% improvement in tender joint counts; a 20% improvement in swollen joint counts; and a 20% improvement in at least three of the following five ‘core set items’: physician global assessment; patient global assessment; patient pain; self-reported disability (using a validated instrument); and erythrocyte sedimentation rate (ESR)/C-reactive protein (CRP).
The ACR response has been widely adopted in randomised controlled trials (RCTs), although studies have shown that the value can vary between trials owing to the timing of the response. 14 Since the inception of the ACR20 two other response criteria (ACR50 and ACR70) have become more widely used, which are similar to ACR20 and differing only in the level of improvements required to be denoted a responder.
In the UK, monitoring the progression of RA is often undertaken using the Disease Activity Score 28 joints (DAS28). This assesses 28 joints in terms of swelling (SW28) and of tenderness to the touch (TEN28) and also incorporates measures of the ESR and a subjective assessment (SA) on a scale of 0–100 made by the patient regarding disease activity in the previous week.
The equation for calculating DAS28 is as follows:15
The DAS28 can be used to classify both the disease activity of the patient and the level of improvement estimated within the patient.
The EULAR response criteria use the individual change in DAS28 and the level of DAS28 reached to classify trial participants as good, moderate or non-responders. 13 The EULAR response criteria and the ACR20 improvement criteria were found to have reasonable agreement in the same set of clinical trials,16 although van Gestel et al. 16 state that the EULAR response criteria showed better construct and discriminant validity than did ACR20. EULAR response has been reported less frequently in RCTs than ACR responses, although EULAR is much more closely aligned to the treatment continuation rules stipulated by NICE, which require a DAS28 improvement of more than 1.2 to continue treatment. The relationship between change in DAS28 and the level of DAS28 reached with EULAR response is shown in Table 1. Dependent on the initial Disease Activity Score (DAS) score of the patient, this would equate to either a good or moderate EULAR response, as shown in the second column of Table 1.
DAS28 at end point | Improvement in DAS28 | ||
---|---|---|---|
> 1.2 | > 0.6 and ≤ 1.2 | ≤ 0.6 | |
≤ 3.2 | Good | Moderate | Non |
> 3.2 and ≤ 5.1 | Moderate | Moderate | Non |
> 5.1 | Moderate | Non | Non |
Patients with a DAS28 of ≤ 3.2 are stated as having inactive disease, those with a DAS28 of > 3.2 and ≤ 5.1 are stated as having moderate disease and those with a DAS28 of > 5.1 are stated as having very active disease. 15
A widely used measure of patient disability is the Health Assessment Questionnaire (HAQ). The HAQ is a patient-completed disability assessment17 which has established reliability and validity and has been used in many published RCTs in RA. HAQ scores range from 0 to 3, with higher scores indicating greater disability. The HAQ is a discrete scale with step values of 0.125, resulting in 25 points on the HAQ scale.
Incidence and prevalence
There are an estimated 400,000 people in England and Wales with RA,18 with approximately 10,000 incident cases per year. 19 The disease is more common in females (1.16%) than in males (0.44%),19 with the majority of cases being diagnosed when patients are aged between 40 and 80 years20 and with peak incidence in patients in their seventies. 19 Traditionally, patients have been treated with conventional disease-modifying antirheumatic drugs (cDMARDs), which include methotrexate (MTX), sulfasalazine (SSZ), hydroxychloroquine (HCQ), leflunomide (LEF), and gold injections (GLDs) as well as corticosteroids, analgesics and non-steroidal anti-inflammatory drugs (NSAIDs). However, more recently, a group of drugs have been developed consisting of monoclonal antibodies and soluble receptors that specifically modify the disease process by blocking key protein messenger molecules (such as cytokines) or cells (such as B-lymphocytes). 9 Such drugs have been labelled as biologic disease-modifying antirheumatic drugs (bDMARDs) and form the focus of this report.
Significance for the NHS
Owing to previous NICE technology appraisals (TAs) recommending a number of bDMARDs (see Current service provision), with a potential sequence of three bDMARDs, there has been a considerable increase in expenditure on RA interventions. Given the remit of this research to establish the clinical effectiveness and cost-effectiveness of bDMARDs in advance of cDMARDs for patients with less severe disease (assumed to be those with a DAS28 of between > 3.2 and ≤ 5.1), there is potential for the expenditure to increase further should NICE guidance on these populations be positive. The majority of interventions are provided subcutaneously and would therefore require little additional staff time should there be positive guidance, although this would increase for those drugs which are given intravenously.
Further detailed information on the background of RA can be found within the relatively recent NICE CG. 9 Additional information can also be located in the British Society for Rheumatology guidelines. 21
Current service provision
Clinical guidelines
For people with newly diagnosed RA, NICE CG799 recommends a combination of cDMARDs [including MTX and at least one other disease-modifying anti-rheumatic drug (DMARD) plus short-term glucocorticoids] as first-line treatment, ideally beginning within 3 months of the onset of persistent symptoms. Where combination therapies are not appropriate (e.g. where there are comorbidities or pregnancy), DMARD monotherapy is recommended. Where DMARD monotherapy is used emphasis should be on increasing the dose quickly to obtain best disease control. For the purposes of this assessment the term intensive DMARDs has been used to denote that this is treatment with multiple cDMARDs simultaneously.
Current National Institute for Health and Care Excellence technology appraisal guidance
National Institute for Health and Care Excellence guidance (TA130,22 TA18623 and TA22524) recommends the use of the tumour necrosis factor (TNF) inhibitors etanercept (ETN; Enbrel®, Pfizer), infliximab [IFX; Remicade®, Merck Sharp & Dohme Corp. (MSD)], adalimumab (ADA; Humira®, AbbVie), certolizumab pegol (CTZ; Cimzia®, UCB Pharma) and golimumab (GOL; Simponi®, MSD) in people with RA after the failure of two cDMARDs, including MTX, and who have a DAS28 > 5.1. Terminated NICE guidance (TA224) was unable to issue recommendations for the use of GOL in people with RA that have not been treated with MTX. 25
Technology Appraisal 24726 recommends tocilizumab (TCZ; RoActemra®, Roche) as an alternative to TNF inhibitors in the same circumstances as in TA130,22 that is in patients with a DAS28 > 5.1 after trying two cDMARDs. NICE guidance TA28027 recommends the use of intravenous (i.v.) abatacept (ABT; Orencia®, Bristol-Myers Squibb) in people with RA after the failure of cDMARDs in the same circumstances as TA130; the subcutaneous (s.c.) formulation has not been appraised.
A simplified summary of NICE-recommend bDMARDs is shown in Figure 1. This defines the sequence of treatments that have received positive guidance for patients with a DAS28 of > 5.1. In summary, the typical route would be intensive cDMARDs followed by a bDMARD, followed by rituximab (RTX) plus MTX, then TCZ before returning to cDMARDs.
It is noted that NICE CG79 recommends the use of intensive cDMARDs which have been assumed to be used rather than two cDMARDs used in monotherapy, although this latter option is acceptable.
The National Institute for Health and Care Excellence has also issued guidance (TA195,28 TA22524 and TA24726) on the treatment of RA after the failure of a TNF inhibitor, but such guidance falls outside the scope of this appraisal.
National Institute for Health and Care Excellence criteria for continuing treatment
Each of the NICE TAs states that for patients to continue treatment with a bDMARD there must have been an improvement in DAS28 of at least 1.2 points at 6 months. If this criterion has not been met then treatment should be stopped and the next intervention in the sequence initiated.
Data were provided by the British Society for Rheumatology Biologics Register (BSRBR) to the Assessment Group and were used to assess the time on first biologic conditional on EULAR response. These indicate that over 25% of patients who had no EULAR response at 6 months were still on treatment at 4.5 years, with the median treatment time being 319 days. This shows that there is not strict adherence to the NICE criteria for continuation of treatment. The majority of patients (94%) had a DAS28 of > 5.1, indicating that the severity criteria stated by NICE were reasonably well adhered to.
Description of the technologies under assessment
Interventions considered in the scope of this report
The scope of the work is to ascertain the clinical effectiveness and cost-effectiveness of seven interventions within three populations that will be detailed subsequently. These interventions are ABT, ADA, CTZ, ETN, GOL, IFX and TCZ. It is noted that ABT can be delivered in two formulations, intravenously and subcutaneously, and that both have been modelled separately. Owing to the large number of interventions these have been initially summarised by mode of action. There then follows a summary of the UK marketing authorisation for each intervention along with a description of administration method. This text is similar to that within the protocol. 29
Mode of action
Adalimumab, ETN, IFX, CTZ and GOL all inhibit the activity of tumour necrosis factor alpha (TNF-α), a pro-inflammatory mediator that is partly responsible for damage to the joints in RA.
Abatacept is a selective modulator of the T-lymphocyte activation pathway. It binds to molecules on the surface of antigen-presenting cells, preventing full activation of the T lymphocytes and interrupting the inflammatory process.
Tocilizumab inhibits the activity of the cytokine interleukin 6, a pro-inflammatory molecule that is also partly responsible for damage to the joints in RA.
Marketing licence and administration method
Abatacept, in combination with MTX, has a UK marketing authorisation for the treatment of moderate to severe active RA in adult patients who responded inadequately to previous therapy with one or more cDMARDs, including MTX or a TNF-α inhibitor. It can be administered by i.v. infusion or by s.c. injection.
Adalimumab, in combination with MTX, has a UK marketing authorisation for the treatment of moderate to severe active RA in adults when the response to cDMARDs, including MTX, has been inadequate and for the treatment of severe, active and progressive RA in adults not previously treated with MTX. ADA can be given as monotherapy in case of intolerance to MTX or when continued treatment with MTX is inappropriate. It is administered subcutaneously.
Certolizumab pegol, in combination with MTX, has a UK marketing authorisation for the treatment of moderate to severe active RA in adult patients when the response to cDMARDs, including MTX, has been inadequate. CTZ can be given as monotherapy in case of intolerance to MTX or when continued treatment with MTX is inappropriate. It is administered subcutaneously.
Etanercept, in combination with MTX, has a UK marketing authorisation for the treatment of moderate to severe active RA in adults when the response to cDMARDs, including MTX (unless contraindicated), has been inadequate, and for the treatment of severe, active and progressive RA in adults not previously treated with MTX. ETN can be given as monotherapy in case of intolerance to MTX or when continued treatment with MTX is inappropriate. It is administered subcutaneously.
Golimumab, in combination with MTX, has a UK marketing authorisation for the treatment of moderate to severe active RA in adult patients when the response to cDMARD therapy, including MTX, has been inadequate, and for the treatment of severe, active and progressive RA in adults not previously treated with MTX. It is administered subcutaneously.
Infliximab, in combination with MTX, has a UK marketing authorisation for the reduction of signs and symptoms as well as the improvement in physical function in adults with active disease when the response to DMARDs, including MTX, has been inadequate. It is also licensed for the treatment of severe, active and progressive RA in adults not previously treated with MTX or other cDMARDs. It is administered by i.v. infusion.
Tocilizumab, in combination with MTX, has a UK marketing authorisation for the treatment of moderate to severe active RA in adult patients who have either responded inadequately, or who were intolerant, to previous therapy with one or more DMARDs or TNF antagonists. In these patients, TCZ can be given as monotherapy in case of intolerance to MTX or where continued treatment with MTX is inappropriate. TCZ is administered by i.v. infusion.
Current usage in the NHS
There is widespread use of the interventions within the NHS. Robust values of the exact breakdown by intervention are not known.
Identification of important subgroups
The current NICE guidance has already identified a subgroup by stating that to receive a bDMARD the patient must have received two cDMARDs and have active RA with a DAS28 in excess of 5.1. The research questions within this report include estimating the cost-effectiveness if the severity criteria were lessened to include patients with a DAS28 of > 3.2; and estimating the cost-effectiveness of using bDMARDs in advance of cDMARDs.
An important clinical subgroup encompasses those patients in whom bDMARDs cannot be given in combination with MTX. The clinical effectiveness and cost-effectiveness of licensed bDMARDs in this population will be estimated in this assessment.
The anticipated costs associated with the interventions
The costs associated with each intervention need to take into account factors, including the acquisition cost of the drug [incorporating any Patient Access Scheme (PAS)]; the average weight of patients with RA for those interventions that are weight based; the administration costs associated with infusions and of district nurses performing s.c. injections; and any loading doses required in the first year.
The acquisition costs and dosing regimens were taken from the British National Formulary (www.bnf.org; accessed June 201330) with details of PASs taken from the manufacturers’ submissions.
The average weights of patients with RA were estimated using data (n = 12,176) from the BSRBR. To be able to be used with all of the weight-based dosing regimens, a large number of categories were required, as detailed in Table 2. From these categories the average cost per dose for those with a weight-based dose can be calculated.
Weight category (kg) | Number of patients | Percentage of total patients |
---|---|---|
0–30 | 3 | 0.0 |
31–33 | 7 | 0.1 |
34–35 | 9 | 0.1 |
36–45 | 240 | 2.0 |
46–50 | 484 | 4.0 |
51–60 | 2333 | 19.2 |
61–67 | 2115 | 17.4 |
68–70 | 949 | 7.8 |
71–75 | 1310 | 10.8 |
76–85 | 2148 | 17.6 |
86–95 | 1351 | 11.1 |
96–100 | 412 | 3.4 |
101–133 | 734 | 6.0 |
134–167 | 67 | 0.6 |
168–200 | 14 | 0.1 |
Total | 12,176 | 100 |
Additional loading doses in the first year were calculated based on the relevant regimen and the administration cost. Table 3 provides a simplified summary of the assumed mean acquisition costs per intervention and can be used to provide indicative rather than exact values. Within the mathematical model described later, timings of costs are explicitly incorporated and also the fact that in some subgroups the distribution of weights may differ from that of the full BSRBR database, a factor also considered within the Assessment Group model.
Treatment | Dose regimen | Details of PAS if applicable | Cost per cheapest available dose, £ (dose) | Cost per weight-adjusted dosea/standard regimen, £ | Administration costs per treatment, £ | Cost per year (excluding administration costsb), £ | Additional costs in year 1, £ |
---|---|---|---|---|---|---|---|
ABT (i.v.) | 500 mg below 60 kg, 750 mg between 60 kg and 100 kg, 1000 mg above 100 kg; 0, 2 and 4 weeks then every 4 weeks thereafter | CiC information has been removed | CiC information has been removed (250 mg) | CiC information has been removed | 154 | CiC information has been removed | CiC information has been removed |
ABT (s.c.) | 125 mg weekly following loading dose 500 mg below 60 kg, 750 mg between 60 kg and 100 kg, 1000 mg above 100 kg | CiC information has been removed | CiC information has been removed (125 mg) | CiC information has been removed | 3.05 | CiC information has been removed | CiC information has been removed |
ADA | 40 mg; every other week | N/A | 352.14 (40 mg) | 352.14 | 3.05 | 9234.94 | 0 |
CTZ | 400 mg per week initially, repeated at weeks 2 and 4 followed by a maintenance dose of 200 mg every 2 weeks | Initial 10 doses free | 357.50 (200 mg) | 357.50 | 3.05 | 9374.30 | –2523.85c |
ETN | 50 mg; every week | N/A | 178.75 (50 mg) | 178.75 | 3.05 | 9453.60 | 0 |
GOL | 50 mg below 100 kg, 100 mg above 100 kg; per month | 100 mg dose provided at the same price as the 50 mg dose | 762.97 (50 mg) | 762.97d | 3.05 | 9192.24 | 0 |
IFXe | 3 mg/kg: 0, 2, 6 then every 8 weeks | N/A | 419.62 (100 mg) | 1110.98 | 154 | 8222.37f | 1820.47 |
TCZ | 8 mg/kg every 4 weeks | CiC information has been removed | CiC information has been removed (80 mg) | CiC information has been removed | 154 | CiC information has been removed | 0 |
Additional treatments in a sequenced strategy
The nature of RA treatment being sequenced meant that it was necessary for the Assessment Group and the manufacturers to incorporate the costs and effectiveness of RTX into the model as this has positive NICE guidance following the withdrawal of a bDMARD. These will be discussed as applicable.
Chapter 2 Definition of the decision problem
Decision problem
The aim of this assessment was to investigate the clinical effectiveness and cost-effectiveness of ADA, ETN, IFX, CTZ, GOL, TCZ and ABT for the treatment of RA not previously treated with bDMARDs compared with each other and compared with cDMARDs.
Interventions
A detailed description of each of the interventions is provided in Chapter 1, Description of the technologies under assessment. Table 4 summarises the relationship between the market authorisation and the decision problem detailed in Overall aims and objectives of assessment: that is, whether or not the intervention is licensed to be used prior to the initiation of MTX intervention; as a monotherapy (i.e. without needing to be given in combination with MTX); for patients with severe RA; and for patients with moderate to severe RA.
Intervention | Is the intervention licensed: | |||
---|---|---|---|---|
prior to the use of MTX? | as a monotherapy? | for patients with severe RA? | for patients with moderate to severe RA? | |
ABTa | ✓ | ✓ | ||
ADA | ✓ | ✓ | ✓ | ✓ |
CTZ | ✓ | ✓ | ✓ | |
ETN | ✓ | ✓ | ✓ | ✓ |
GOL | ✓ | ✓ | ✓ | |
IFX | ✓ | ✓ | ✓ | |
TCZ | ✓ | ✓ | ✓ |
Populations (including subgroups)
The scope issued by NICE defines three distinct populations with RA and includes (1) adults with severe active RA not previously treated with cDMARDs; (2) adults with severe active RA who have been previously treated with cDMARDs but not bDMARDs; and (3) adults with moderate to severe active RA who have been previously treated with cDMARDs only, including MTX (unless contraindicated or inappropriate). Henceforth, these will be referred to as population 1, population 2 and population 3, respectively.
Although the NICE scope did not specify the definition of severe active RA and moderate to severe active RA, the following definition (based on expert clinical advice to the Assessment Group) has been adopted: severe active RA will be defined by a DAS28 of ≥ 5.1 and moderate to severe active RA will be defined as a DAS28 of between 3.2 and 5.1.
As the scope issued by NICE explicitly defined subgroups, no further subgroups will be assessed, with the exception of those patients in whom bDMARD treatment needs to be given as monotherapy. Separate analyses will be conducted for those in whom MTX can be tolerated and in those who can only receive bDMARD monotherapy.
The Assessment Group has chosen to deviate from the scope for population 1 as the definition in the scope stated that MTX needed to have been used previously. Given this definition, the populations were mutually exclusive but not exhaustive, as patients without prior bDMARD treatment who had not received MTX but had instead received an alternative cDMARD would not be allocated to any of the populations. In consultation with NICE and our clinical experts the Assessment Group broadened its interpretation of population 1 to allow previous treatment with any cDMARD.
It is noted that the number of interventions considered in population 1 is fewer than for populations 2 or 3, as only four interventions (ADA, ETN, GOL and IFX) are licensed in this population.
Populations outside the scope of the research
The following groups were explicitly excluded from the research by the scope issued by NICE:
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the initiation of treatment in patients without active RA
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patients with a DAS of < 3.2 who had received previous treatment with cDMARDs
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patients with a DAS of < 5.1 who had not been previously treated with cDMARDs
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patients who had been previously treated with one or more bDMARDs.
Relevant comparators
The relevant comparators within the final scope differ according to the population considered. The scope stated that tofacitinib (TOF; Xeljanz®, Pfizer; Jakvinus®, Pfizer) would be included if NICE had issued positive guidance prior to the report’s completion, but this did not occur and therefore TOF was not evaluated.
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For severe active RA not previously treated with MTX or other DMARDs:
-
combination therapy with cDMARDs (including MTX and at least one other DMARD, such as SSZ and LEF as recommended in NICE CG799)
-
the interventions will be compared with each other.
-
-
For severe active RA that has been previously treated with cDMARDs only:
-
management strategies involving further cDMARDs (e.g. SSZ, LEF), NSAIDs and corticosteroids
-
the interventions will be compared with each other.
-
-
For moderate to severe active arthritis that has been previously treated with cDMARDs only:
-
management strategies involving further cDMARDs (e.g. SSZ, LEF), NSAIDs and corticosteroids
-
the interventions will be compared with each other.
-
Outcomes
The outcome measures to be considered include:
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disease activity
-
physical function
-
joint damage
-
pain
-
mortality
-
fatigue
-
radiological progression
-
extra-articular manifestations of disease
-
adverse effects of treatment
-
health-related quality of life.
Data were also collected on other outcome measures, including disease duration, number of previous cDMARDs and percentage of patients who had received bDMARDs, in case there was sufficient variation in baseline measurements that these could be investigated as treatment effect modifiers within data synthesis.
Overall aims and objectives of assessment
The review aims to:
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evaluate the clinical effectiveness of each intervention in affecting key outcomes in patients within each of the defined subgroups
-
evaluate the adverse effect profile of each intervention (and comparator)
-
estimate the incremental cost-effectiveness within each of the defined subgroups of each intervention compared with all comparators
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estimate the overall cost of amending the current provision of interventions in the light of the cost-effectiveness results
-
identify key areas for primary research.
Chapter 3 Assessment of clinical effectiveness
A systematic review of the literature and network meta-analyses (NMAs) were conducted in order to evaluate the clinical effectiveness of ABT, ADA, CTZ, ETN, GOL, IFX and TCZ in the first-line bDMARD treatment of adults with RA.
The systematic review of the evidence was undertaken in accordance with the general principles recommended in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement (www.prisma-statement.org/).
This report contains reference to confidential information provided as part of the NICE appraisal process. This information has been removed from the report and the results, discussions and conclusions of the report do not include the confidential information. These sections are clearly marked in the report.
Methods for reviewing effectiveness
Identification of studies
The aims of the search were to provide as comprehensive a retrieval as possible of clinical effectiveness evidence relating to ABT, ADA, CTZ, ETN, GOL, IFX and TCZ and to identify additional relevant treatments for potential inclusion in the NMA.
Electronic databases
Studies were identified by searching the following electronic databases and research registers:
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MEDLINE(R) In-Process & Other Non-Indexed Citations and MEDLINE(R) (via Ovid) 1948 to July 2013
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EMBASE (via Ovid) 1980 to July 2013
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Cochrane Database of Systematic Reviews (via Wiley Online Library) 1996 to May 2013
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Cochrane Central Register of Controlled Trials (via Wiley Online Library) 1898 to May 2013
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Health Technology Assessment (HTA) database (via Wiley Online Library) 1995 to May 2013
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Database of Abstracts of Review of Effects (via Wiley Online Library) 1995 to May 2013
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Cumulative Index to Nursing and Allied Health Literature (CINAHL) (via EBSCOhost) 1982 to April 2013
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Toxicology Literature Online to July 2013.
Given the broad scope of interventions to be included in the review and the high volume of potentially relevant studies to be sifted, the keyword searches of electronic resources were undertaken in three stages. No language or date restrictions were applied to any database. Details of keywords strategies are reported in Appendix 1.
Stage 1 was undertaken using keywords relating to the population only (i.e. RA) and did not include keywords relating to the interventions specified in the decision problem. The purpose was to keep the scope of the search broad in order to identify potentially relevant evidence for inclusion in the NMA, in addition to identifying RCTs and systematic reviews of the interventions of interest. For the searches of MEDLINE, EMBASE and CINAHL, methodological filters were added to restrict search results to RCTs and systematic reviews. To maximise the efficiency of the search process at this stage, filters aimed at maximising the precision of search results were applied. 31–35
Stage 2 was undertaken using keywords relating to the population (RA) combined with keywords relating to the interventions of interest (ABT, ADA, CTZ, ETN, GOL, IFX and TCZ) and any interventions identified as potentially allowing indirect comparisons to be made within the NMA. Keyword synonyms relating to the interventions included generic drug names, product names and drug registry numbers. The purpose of stage 2 was to identify RCTs that might not have been retrieved by the ‘high precision’ stage 1 searches. Therefore, RCT search filters aimed at maximising the sensitivity of search results were applied. 33,36 In the first instance, MEDLINE and EMBASE were searched. Given the high volume of references retrieved and the low yield in terms of relevant references identified, it was decided that searches would not be extended to other databases or to other treatments to be potentially included in the NMA.
Stage 3 involved the undertaking of searches for potential supplementary adverse events (AEs) evidence through the combination of keywords relating to the population (RA) with keywords relating to the interventions of interest (ABT, ADA, atacicept, CTZ, ETN, GOL, IFX, RTX, TCZ, TOF). For the searches of MEDLINE and EMBASE, AE filters were applied,37 whereas no filter was required for the Toxicology Literature Online database.
Where possible, and to minimise duplication between search results, the results retrieved by earlier search strategies were excluded from the results retrieved by later search strategies using the ‘not’ Boolean operator. The results retrieved by the MEDLINE and EMBASE high-precision searches (stage 1) were excluded from MEDLINE and EMBASE high-sensitivity searches (stage 2). The results retrieved by the MEDLINE and EMBASE high-precision and high-sensitivity searches (stages 1 and 2) were excluded from the AE searches (stage 3).
Other resources
To identify additional studies, the reference lists of relevant studies (including existing systematic reviews) were checked and a citation search of relevant articles (using the Web of Science Citation Index Expanded and Conference Proceedings Citation Index – Science) was undertaken to identify articles that cite the relevant articles. It was originally intended in the protocol29 that searches be performed to identify ongoing research and unpublished studies using the metaRegister of Current Controlled Trials, the World Health Organization International Clinical Trials Registry Platform, the European Union Clinical Trials Register, the Food and Drug Administration (FDA) and European Medicines Agency websites and the Web of Science Conference Proceedings Citation Index – Science. However, this was not possible within the time scales dictated by the NICE appraisal process. Hand-searching of relevant documents included sponsor submissions to the NICE TA update process, recent systematic reviews and documentation associated with previous relevant NICE TA guidance (TAs 130,22 186,23 224,25 234,38 225,24 24726). Grey literature was also sought using the sources listed in the international grey literature search toolkit produced by the Canadian Agency for Drugs and Technologies in Health. 39
All identified citations from the electronic searches and other resources were imported into and managed using the Reference Manager bibliographic software (version 12.0; Thomson Reuters, Philadelphia, PA, USA).
Inclusion and exclusion criteria
Inclusion and exclusion criteria for the selection of clinical effectiveness and safety evidence were defined according to the decision problem outlined in the NICE scope. 40
The inclusion of potentially relevant articles was undertaken using a two-step process. First, all titles and abstracts were examined for inclusion by one reviewer. Any citations that clearly did not meet the inclusion criteria (e.g. animal studies, studies unrelated to RA) were excluded. Second, full-text articles were initially examined by one reviewer. It was intended in the original protocol that a second reviewer would check approximately 10% of citations. However, because of the very large number of citations identified in the clinical effectiveness searches, this was not possible in the time scales available for this appraisal process. Any uncertainty in the inclusion and exclusion of potential full-text articles was resolved through discussion with the review team. Where agreement could not be reached, expert clinical advice was sought for a final decision.
The relevance of each article for the systematic review was assessed according to the following criteria.
Population
As detailed in Chapter 2, the three populations under consideration in this assessment were:
-
Adults with severe active RA not previously treated with MTX (defined by a DAS of ≥ 5.1). In the original protocol29 this population was defined as ‘adults with severe active RA not previously treated with MTX or other DMARDs (defined by a DAS of ≥ 5.1)’. However, this definition was subsequently modified and broadened by the Assessment Group (in consultation with clinical experts) to include ‘adults with severe active RA not previously treated with MTX’ to permit the inclusion of trial populations relevant to the decision problem which were MTX naive, but may have had some prior experience of other cDMARDs.
-
Adults with severe active RA who had been previously treated with conventional DMARDs only, including MTX (unless contraindicated or inappropriate) (defined by a DAS of ≥ 5.1).
-
Adults with moderate to severe active RA who had been previously treated with conventional DMARDs only, including MTX (unless contraindicated or inappropriate) (defined as a DAS between 3.2 and 5.1).
The following populations were considered outside the appraisal scope and were therefore excluded:
-
patients with a DAS of < 3.2
-
patients with a DAS of < 5.2 who had not been previously treated with MTX
-
patients who had been previously treated with one or more biologic DMARDs.
Interventions
The following interventions were included:
-
For RA not previously treated with MTX:
-
ADA
-
ETN
-
IFX
-
GOL.
-
-
For RA that has been previously treated with conventional DMARDs only:
-
ADA
-
ETN
-
IFX
-
CTZ
-
GOL
-
ABT (i.v. and s.c. preparations)
-
TCZ.
-
The above interventions were assessed in accordance with licensed indications and could be delivered in conjunction with cDMARDs or as monotherapy (as defined in licensed indications).
Comparators
The relevant comparators differed according to the population considered and included the following:
-
For severe active RA not previously treated with MTX:
-
combination therapy with conventional DMARDs (including MTX and at least one other DMARD, such as SSZ and LEF) or DMARD monotherapy with dose escalation
-
biologic interventions compared with each other.
-
-
For severe active RA that has been previously treated with conventional DMARDs only:
-
management strategies involving further conventional DMARDs (e.g. SSZ, LEF), NSAIDs and corticosteroids
-
biologic interventions compared with each other.
-
-
For moderate to severe active RA that has been previously treated with conventional DMARDs only:
-
management strategies involving further conventional DMARDs (e.g. SSZ, LEF), NSAIDs and corticosteroids
-
biologic interventions compared with each other.
-
Outcomes
The outcome measures under consideration included:
-
disease activity (DAS28, ACR and EULAR responses, swollen and tender joint counts and patient and physician global assessments of disease activity)
-
physical function [Health Assessment Questionnaire Disability Index (HAQ-DI), but not modified versions of HAQ]
-
joint damage/radiological progression
-
pain
-
mortality
-
fatigue
-
extra-articular manifestations of disease
-
health-related quality of life
-
adverse effects of treatment.
Study design
The systematic review of clinical effectiveness was based on RCT evidence. It was stated in the protocol29 that, if insufficient data were available from RCTs, observational studies or non-randomised trials may be considered (e.g. for safety evidence). The Assessment Group supplemented the AEs data identified in the included RCTs with safety data from long-term extension (LTE) studies reporting on individual included RCTs. Studies published as abstracts or conference presentations were only included if sufficient details were presented to allow both an appraisal of the methodology and an assessment of the results to be undertaken. Systematic reviews could be used as potential sources of additional references of efficacy evidence.
The following study types were also excluded:
-
animal models
-
preclinical and biological studies
-
narrative reviews, editorials, opinions
-
studies presenting secondary analyses of RCT data or pooled RCT data
-
non-English-language papers.
Data abstraction and critical appraisal strategy
Data relevant to the decision problem were extracted by one reviewer. Data were extracted without blinding to authors or journal. Study arms where intervention treatments were administered in line with licensed indications were extracted; where there was a slight divergence between the regimen used in the RCT and the licensed regimen, this was explicitly highlighted. It was proposed in the original protocol29 that at least 10% of data extraction forms be checked by a reviewer. However, the Assessment Group ensured that all data included in the NMA were double checked by a second reviewer. For data not contributing to the NMA, data were extracted for the following time points: primary end point (for selected efficacy data); latest available controlled RCT end point (for efficacy and safety data); and latest available LTE study end point (for safety data only). The safety data extracted were informed by the Summary of Product Characteristics [available at www.medicines.org.uk/emc/ (accessed 1 April 2014)] and FDA prescribing information for each intervention. 41–47 Graphical data contributing to the NMA were estimated using Engauge software [version 4.1; Mark Mitchell, Los Angeles, CA, USA (2011)] and graphical data not contributing to the NMA were estimated manually by a reviewer. Where multiple publications of the same study were identified, data extraction was undertaken on all relevant associated publications and findings were presented as a single study. Discrepancies were resolved by discussion, with involvement of a third reviewer when necessary.
The methodological quality of each included study was assessed by one reviewer. It was originally intended in the protocol29 that quality assessment would be checked by a second reviewer, but this was not feasible within the time scales available for the appraisal process. The quality assessment of included studies was informed by selected items listed in the NHS Centre for Reviews and Dissemination report48 and Cochrane Risk of Bias tool. 49 Additional quality issues specific to the assessment of RA RCTs (as described by Karsh et al. 50) were also considered during the evaluation of studies.
Methods of data synthesis
The extracted data and quality assessment variables were presented for each study, both in structured tables and as a narrative description.
As the identified evidence base permitted the undertaking of NMAs for the estimation of treatment effects, supplementary meta-analyses were not undertaken. NMAs were conducted to determine efficacy using two different disease activity measures (ACR and EULAR responses).
Methods for the estimation of efficacy using network meta-analysis
Selection of evidence contributing to the network meta-analysis
Evidence considered relevant to the decision problem was selected according to the additional inclusion criteria detailed below.
-
Randomised controlled trials presenting ACR response or EULAR response data at any assessment time point between 22 and 30 weeks. The selection of this time frame and assumption that treatment effects would be broadly comparable across these assessment points was made in conjunction with the clinical advisors to the assessment. This criterion is broadly in line with previous data syntheses summarised by Thorlund et al. :51 9 of the 13 RCTs in the NMA of biologic interventions for RA also employed an assessment time point in the region of 24 weeks/6 months; of the remaining four RCTs, three used 12-week data while one used data obtained between 50 and 55 weeks.
-
Trials with early escape were included only if an appropriate imputation of data as determined by the Assessment Group was employed for dealing with censoring.
-
Randomised controlled trials were not excluded from the base case on the basis of geographical location (a decision made in consultation with clinical advisors).
-
Randomised controlled trials were permitted in the base case where it was not indicated if bDMARDs had been given (and no proportion of bDMARD use was provided), even if trial eligibility did not exclude prior bDMARDs.
-
Trials reporting a small proportion of patients with prior bDMARD experience (≤ 20%) were not included in the base-case analyses but were explored via sensitivity analyses.
Sensitivity analyses were also undertaken to include trials relevant to populations 2 and 3 where the population may not have adequately failed cDMARDs (either there was a sufficient response, MTX treatment duration was too short or a proportion of the population were MTX naive).
Evidence was sought in which bDMARDs not considered as interventions or comparators within the NICE scope were evaluated in head-to-head trials with an included intervention in the first-line treatment of RA. To establish whether or not any such identified data could be used to inform indirect comparisons within the NMA, a review of these interventions against cDMARDs was undertaken. If such trials were found and met the inclusion criteria for the review, then the bDMARD was considered part of the evidence base for the NMA.
A number of assumptions relating to the evidence base were made in conjunction with clinical advisors: (1) It was assumed that all cDMARDs had the same efficacy; (2) it was also assumed that having failed a cDMARD was equivalent to having failed MTX; (3) trials that included the use of immunosuppressants or single intra-articular glucocorticoid were also permitted, assuming that this would not change the efficacy of cDMARDs; and (4) it was assumed that Disease Activity Score 28 C-reactive protein (DAS28-CRP) and Disease Activity Score 28 erythrocyte sedimentation rate (DAS28-ESR) are interchangeable where only one is reported. If both were reported, DAS28-ESR was used as this was reported most regularly (a decision made in consultation with clinical advisors). A systematic review to support assumptions (1) to (3) could not be undertaken within the time scales of the project. This may represent a limitation within the analyses although these assumptions were deemed reasonable by the clinical experts and there was no reason to believe these could cause a systematic bias.
Statistical model for the network meta-analysis
European League Against Rheumatism and ACR outcomes are ordered categorical data. EULAR has three categories (no response, moderate response and good response) and ACR has four categories (no response, ACR20, ACR50 and ACR70). ACRXX represents an improvement of at least XX%; in the analysis, the categories are treated as mutually exclusive so that patients cannot be in more than one category.
The model for the data assumes that the treatment effect is the same irrespective of the category. The likelihood function for the data is described as follows:
-
Let rikj represent the number of patients in arm k of trial i in the mutually exclusive category j = 1,2, . . . J.
The responses rikj will follow a multinomial distribution such that
The parameters in the model are the probabilities, pikj, that a patient in arm k of trial i has a response equivalent to category j.
We use a probit link function to map the probabilities, pikj, onto the real line such that:
so that
In this model, the effect of treatment is to change the probit score of the control arm by δi,bk standard deviations (SDs).
The study-specific treatment effects, δi,bkIk≠1, are assume to arise from a common population distribution with mean treatment effect relative to the reference treatment, which in this analysis is cDMARDs, such that:
We further assume that there is an underlying continuous latent variable which has been categorised by specifying cut-offs, zij, which correspond to the point at which an individual moves from one category to the next in trial i. The model is rewritten as:
The zij can be treated as fixed, which would assume that these points are the same in each trial and each treatment. Alternatively, they can be treated as random in which they are assumed to vary according to the trial but that within a trial they are the same such that:
We used a model in which the zij were treated as being random because this resulted in a much better fit of the model to the data.
In some trials, the reported categories are a subset of the full set of categories so that there is overlap between categories. The multinomial likelihood is rewritten as a series of conditional binomial distributions such that for trial i reporting the number of patients, rikj, in category j = 1, . . ., J – 1, we write:
where
. . .
and
Further details of the model are presented in Dias et al. 52
All analyses were conducted in the freely available software package WinBUGS (MRC Biostatistics Unit, Cambridge, UK).
The model is completed by giving the parameters prior distributions.
When there are sufficient sample data, we can use conventional reference prior distributions and these will have little influence on the posterior results. The reference prior distributions used in the analyses were:
-
trial-specific baselines, µi∼N(0,1000)
-
treatment effects relative to reference treatment, d1t∼N(0,1000)
-
between-study SD of treatment effects, τ∼U(0,2)
-
population cut-offs, υcj=υcj−1+υc′,υc′∼U(0,5)
-
between-study SD of cut-offs, σz2∼U(0,2).
In the case of the analysis of the EULAR data there were relatively few studies and too few to update the between-study SD. Without Bayesian updating, a reference prior distribution that does not represent genuine prior belief will have a significant impact on the results and give posterior distributions that are unlikely to represent genuine posterior beliefs. To allow for this, we used a weakly informative prior distribution for the between-study SD such that τ∼HN(0,0.322).
To estimate the absolute probabilities of being in each category for each treatment, we used a binomial likelihood function for the numbers of patients, rik1 in each study that were classified as ‘no response’ when treated with cDMARDs such that:
We used a probit link function such that:
We assume that the study-specific baselines arise from population of effects such that:
The model was completed by giving the parameters prior distributions such that:
Again, there were relatively few studies providing data on the EULAR outcome so a weakly informative prior distribution was used for the between-study SD such that: τ∼HN(0,0.322).
For the baseline meta-analyses and NMAs, we used a standard burn-in of 100,000 iterations of the Markov chain and retained 25,000 iterations to estimate parameters. In addition, the NMAs exhibited moderately high correlation between successive iterations of the Markov chains so the chains were thinned by retaining every 10th sample.
For EULAR and ACR, analyses were performed according to whether the patient was MTX naive (population 1) or whether patients were MTX experienced (populations 2 and 3). Patients who were MTX naive were also analysed including the Treatment of Early Aggressive Rheumatoid arthritis (TEAR) trial53 and the Trial of Etanercept and Methotrexate with Radiographic Patient Outcomes (TEMPO)54 that included a small proportion of patients who were MTX experienced. In addition, for patients who were MTX experienced, EULAR was analysed according to the main trials and trials that included patients who received prior biologics [with and without the Actemra versus Methotrexate double Blind Investigative Trial In mONotherapy (AMBITION) study55] and ACR was analysed according to the main trials, trials that included patients who received prior biologics (with and without AMBITION55) and trials that included patients who were MTX naive.
We also explored the possibility that duration of disease was a treatment effect modifier. This was done for the main studies that provided ACR data. We did not attempt to adjust EULAR data for duration of disease because of the limited number of studies available. Duration of disease was centred in the model by subtracting the mean duration of disease across studies. Various models could be explored, including having an identical treatment effect modifier for each treatment, a separate treatment effect modifier for each treatment or allowing the treatment effect modifiers to be exchangeable across treatments. Again, because of the limited number of studies available we restricted attention to an exchangeable treatment effect modifier model. The model was completed by giving the common regression parameter a N(0, 1000) prior distribution and the between-treatment SD a U(0, 10) prior distribution. Results are not presented adjusted for duration of disease because the evidence suggested that it was not a treatment effect modifier (deviance information criterion adjusted = 1027.94, deviance information criterion unadjusted 1026.74).
Results
Quantity and quality of research available
Quantity of research available
As a result of the searches described in Methods for reviewing effectiveness, a total of 43,764 citations were identified for the review of clinical effectiveness and safety. This was reduced to 27,464 following deletion of duplicate citations. The study selection process is represented as a PRISMA diagram (Figure 2). A total of 27,334 citations were excluded at title and abstract levels (1606 being non-English-language records). Of the remaining records, a total of 60 studies were included in the review. Studies excluded at the full-text stage are presented (with rationale for exclusion) in Appendix 3.
Randomised controlled trials included in the systematic review of clinical effectiveness and NMAs of ACR and EULAR responses are presented in Table 5 (with MTX-naive and cDMARD-experienced labels denoting trials included in population 1 and populations 2 and 3 respectively).
Trial name/study | Intervention | Population | Included in NMA? |
---|---|---|---|
Abe et al., 200656 | IFX | cDMARD experienced | Not in NMA (14-week RCT) |
ACT-RAY57 | TCZ | cDMARD experienced | Yes |
ADACTA58 | ADA, TCZ | cDMARD experienced | Yes |
ADORE59,60 | ETN | cDMARD experienced | Not in NMA (16-week study) |
AIM61–65 | ABT | cDMARD experienced | Yes |
AMPLE66 | ADA, ABT | cDMARD experienced | Yes |
APPEAL67,68 | ETN | cDMARD experienced | Not in NMA (16-week study) |
ARMADA69,70 | ADA | cDMARD experienced | Yes |
ASPIRE71 | IFX | MTX naive | Not in NMA (no ACR/EULAR data at 22–30 weeks) |
ASSET72 | ABT | cDMARD experienced | Not in NMA (4-month RCT) |
ASSURE73 | ABT | cDMARD experienced | Not in NMA (no ACR/EULAR data at 22–30 weeks) |
ATTEST74 | IFX, ABT | cDMARD experienced | Yes |
ATTRACT75 | IFX | cDMARD experienced | Yes |
AUGUST II76 | ADA | cDMARD experienced | Yes |
Bejarano et al., 200877 | ADA | MTX naive | Not in NMA (no ACR/EULAR data at 22–30 weeks) |
BeST78 | IFX | MTX naive | Yes |
CERTAIN79 | CTZ | cDMARD experienced | Yes |
CHANGE80 | ADA | cDMARD experienced | Yes |
COMET81–83 | ETN | MTX naive | Yes |
DE01984 | ADA | cDMARD experienced | Yes |
deFilippis et al., 200685 | ETN, IFX | cDMARD experienced | Yes |
Durez et al., 200486 | IFX | cDMARD experienced | Not in NMA (14-week study, no valid comparator arm) |
Durez et al., 2007120 | IFX | MTX naive | Yes |
ERA87 | ETN | MTX naive | Yes |
ETN Study 30988,89 | ETN | cDMARD experienced | Yes |
GO-BEFORE90 | GOL | MTX naive | Yes |
GO-FORTH91 | GOL | cDMARD experienced | Yes |
GO-FORWARD92 | GOL | cDMARD experienced | Yes |
GUEPARD93 | ADA | MTX naive | Not in NMA (no ACR/EULAR data at 22–30 weeks) |
HIT HARD94 | ADA | MTX naive | Yes |
IDEA95 | IFX | MTX naive | Not in NMA (no ACR/EULAR data at 22–30 weeks) |
CREATE IIb96 | ETN | cDMARD experienced | Yes |
JESMR97 | ETN | cDMARD experienced | Yes |
Kay et al., 200898 | GOL | cDMARD experienced | Not in NMA [no eligible ACR/EULAR data at 22–30 weeks (owing to PBO group crossover)] |
Kim et al., 200799 | ADA | cDMARD experienced | Yes |
Kume et al., 2011100 | ADA, ETN | MTX naive | Not in NMA (early escape at 12 weeks with no imputation for missing data) |
Lan et al., 2004101 | ETN | cDMARD experienced | Not in NMA (12-week study) |
LARA102 | ETN | cDMARD experienced | Yes |
MEASURE103 | TCZ | cDMARD experienced | Not in NMA (no ACR/EULAR data at 22–30 weeks) |
Moreland et al., 1999104/Mathias et al., 2000105 | ETN | cDMARD experienced | Yes |
Nishimoto et al., 2004106 | TCZ | cDMARD experienced | Not in NMA (no ACR/EULAR data at 22–30 weeks) |
OPERA107 | ADA | MTX naive | Not in NMA (no ACR/EULAR data at 22–30 weeks) |
OPTIMA108 | ADA | MTX naive | Yes |
PREMIER109 | ADA | MTX naive | Yes |
Quinn et al., 2005110 | IFX | MTX naive | Not in NMA (no ACR/EULAR data at 22–30 weeks) |
RACAT111/O’Dell et al., 2013112 | ETN | cDMARD experienced | Yes |
REALISTIC113 | CTZ | cDMARD experienced | Not in NMA (no biologic-naive ACR/EULAR data at 22–30 weeks) |
RED-SEA114 | ADA, ETN | cDMARD experienced | Not in NMA (no ACR/EULAR data at 22–30 weeks) |
SAMURAI115 | TCZ | cDMARD experienced | Yes |
SATORI116 | TCZ | cDMARD experienced | Yes |
STAR117 | ADA | cDMARD experienced | Yes |
START118 | IFX | cDMARD experienced | Yes |
Swefot119 | IFX | cDMARD experienced | Yes |
AiC information has been removed | AiC information has been removed | AiC information has been removed | AiC information has been removed |
TOWARD121 | TCZ | cDMARD experienced | Yes |
Van De Putte et al., 2004122 | ADA | cDMARD experienced | Yes |
Wajdula 2000 (reported in Chen et al., 2006123) | ETN | cDMARD experienced | Not in NMA (12-week study) |
Weinblatt et al., 1999124 | ETN | cDMARD experienced | Yes |
Wong et al., 2009125 | IFX | cDMARD experienced | Not in NMA (no ACR/EULAR data at 22–30 weeks) |
Zhang et al., 2006126 | IFX | cDMARD experienced | Not in NMA (18-week study) |
Sixty RCTs were included in the systematic review of clinical effectiveness. These comprised six trials with head-to-head comparisons of included biologic interventions, [academic-in-confidence (AiC) information has been removed], and 53 trials of biologic interventions compared with placebo (PBO) or cDMARDs.
Methotrexate-naive trial populations are considered separately in the following results section as population 1. For population 1 there were a total of 15 RCTs included in the systematic review (ABT n = 0, ADA n = 6, CTZ n = 0, ETN n = 2, GOL n = 1, IFX n = 5, TCZ n = 0 and head-to-head biologics n = 1). Eight of the MTX-naive trials had data available for the NMA. All these seven trials provided ACR data; however, only one90 contributed EULAR data for analysis. A head-to-head trial of ADA versus ETN was identified but this trial was not eligible for the NMA (due to early escape at 12 weeks with no imputation for missing data). 100
There were 45 trials with cDMARD-experienced populations (considered as populations 2 and 3) (ABT n = 3, ADA n = 7, CTZ n = 2, ETN n = 11, GOL n = 3, IFX n = 7, TCZ n = 6, head-to-head biologics n = 5 and grouped antiTNFs n = 1). Of these, 30 trials had data available for the NMA.
Twelve trials that did not satisfy the inclusion criteria for the systematic review (as outlined in Methods for reviewing effectiveness) were excluded from the systematic review but were used as additional evidence and explored in sensitivity analyses in the NMA (Table 6). These trials contributed ACR and/or EULAR data to sensitivity analyses only. Of these, 10 trials had populations with a small proportion that had received prior biologics (≤ 20%). The other remaining trials were not in the base case because they had populations in which some patients were MTX naive or cDMARD and others were not, or patients were responding to MTX.
Trial name/study | Intervention | Allocated population | Rationale for ineligibility in systematic review |
---|---|---|---|
ACQUIRE127 | ABT | cDMARD experienced | 3.4–6% prior biologics |
AMBITION55,128 | TCZ | cDMARD experienced | 5–9% prior biologics, mix of MTX naive and prior MTX |
Yamamoto et al., 2011129 | CTZ | cDMARD experienced | 16% prior biologics |
LITHE130 | TCZ | cDMARD experienced | 11% prior biologics |
NCT00254293131 | ABT | cDMARD experienced | 2.6% prior biologics |
OPTION132 | TCZ | cDMARD experienced | 5–9% prior biologics |
ORAL Standard133 | ADA, TOF | cDMARD experienced | 10% prior biologics |
RA0025134 | CTZ | cDMARD experienced | 15% prior biologics |
RAPID1135 | CTZ | cDMARD experienced | 4% prior biologics |
RAPID2136 | CTZ | cDMARD experienced | 1.6% prior biologics |
TEAR53 | ETN | cDMARD experienced and MTX naive | Mix of MTX-naive and prior MTX, some patients (less than 30%) had any prior cDMARD use |
TEMPO54 | ETN | cDMARD experienced and MTX naive | Mix of MTX-naive, and prior MTX but not inadequate response |
Kremer et al., 2012137 | TOF | cDMARD experienced | Did not include any bDMARD within the NICE scope |
van der Heijde et al., 2013138 | TOF | cDMARD experienced | Did not include any bDMARD within the NICE scope |
In addition, two trials providing supplementary network linkages were included in the NMA. These RCTs did not include any of the included interventions as specified in the decision problem, but evaluated TOF versus PBO. 137,138 Both of these trial populations had some prior biologic use (and therefore these trials were considered within the NMA sensitivity analyses).
Quality of research available
The quality of the included RCTs is presented in Table 345 (see Appendix 4) and summarised in Figure 3. There is a reasonably low risk of bias overall among studies included in this review. Items where risk of bias was greatest were those that assessed comparability of groups, blinding and selective reporting. Items generating a large proportion of ‘unclear’ responses (indicating a lack of clarity in reporting) were those relating to generation of allocation sequence, allocation concealment and selective reporting of outcomes. Items with a low risk of bias in a large proportion of trials were comparability at baseline, blinding, analysis by allocated treatment group and most (≥ 80%) participants randomised included in the final analysis. A modified intention-to-treat population was used in around half of trials for efficacy and safety analyses (which was typically based on all randomised patients who received at least one dose of study drug being included in analyses).
Summary of trials and population characteristics
There were some differences between trials in population characteristics, treatment and trial duration. For some trials, intervention and control arms differed in terms of numbers/combinations of concomitant cDMARDs. Some trials allowed physician discretion in other therapies. There was some variation between trials in prior treatment history and disease duration. There was some variation in how early withdrawals were decided, with variation in length of time on allocated treatment.
Trial characteristics
Adults with severe active rheumatoid arthritis not previously treated with methotrexate (population 1)
As discussed in Methods for reviewing effectiveness, trials in which populations were MTX naive but had received some prior treatment with other cDMARDs were considered appropriate for inclusion in population 1. Study characteristics for trials included in population 1 are presented in Tables 345 and 346 (see Appendix 4).
Adults with moderate to severe and severe active rheumatoid arthritis that have been previously treated with cDMARDs (but not bDMARDs) (cDMARD experienced) (populations 2 and 3)
Study characteristics for trials included in populations 2 and 3 are presented in Tables 347–349 (see Appendix 4).
Population characteristics
Adults with severe active rheumatoid arthritis not previously treated with methotrexate (population 1)
Population characteristics for population 1 are presented in Tables 7 and 8.
Study | Treatment arms | Mean age (years) (SD) | Sex (% female) | Early withdrawal plan reported? | Disease duration (years) (SD) | Mean DAS28 at baseline (SD) – ESR unless stated to be CRP |
---|---|---|---|---|---|---|
Kume et al., 2011100 | ADA monotherapy (n = 22) | 63 (17) | 85.7 | Yes | 0.75 (0.42) | ESR 5.34 (1.4) |
ETN monotherapy (n = 21) | 51 (15) | 85.7 | 0.92 (0.42) | ESR 5.17 (1.5) |
Trial name/study | Treatment arms | Mean age (years) (SD) | Sex (% female) | Early withdrawal plan reported? | Disease duration (years) (SD) | Mean DAS28 at baseline (SD) – ESR unless stated to be CRP |
---|---|---|---|---|---|---|
Bejarano et al., 200877 | PBO + MTX (n = 73) | 47 (9) | 53.4 | Yes | 6.6 | 6.0 (1.5) |
ADA + MTX (n = 75) | 47 (9) | 58.4 | 7.9 | 5.9 (1.4) | ||
GUEPARD93 | Initial MTX 12 weeks, then step-up therapya based on DAS28 (n = 32) | 49.3 (15.2) | 81.25 | Yes | 4.4 (3.3–5.1)b months | ESR 6.15 (0.88); CRP 5.85 (0.91) |
Initial ADA + MTX 12 weeks, then step-upa therapy based on DAS28 (n = 33) | 46.3 (16.3) | 78.79 | 4.4 (3.3–5.1)b months | ESR 6.31 (0.78); CRP 5.80 (0.83) | ||
HIT HARD94 | MTX + PBO (n = 85) | 52.5 (14.3) | 67.1 | NR | 0.13 (NR) | 6.3 (0.9) |
ADA + PBO (n = 87) | 47.2 (12.1) | 70.1 | 0.15 (NR) | 6.2 (0.8) | ||
OPERA107 | MTX + PBO + steroid (n = 91) | 5.42 (28.3, 76.7)c | 69 | Yes | 0.22 (0.12, 0.41)c | CRP 5.6 (3.8, 7.3)c |
ADA + MTX + steroid (n = 89) | 56.2 (25.8, 77.6)c | 63 | 0.24 (0.12, 0.44)c | CRP 5.5 (3.8, 7.8)c | ||
OPTIMA108 | MTX + PBO (n = 517) | 50.7 (NR) | 74 | NR | 0.38 (NR) | 6 |
ADA + MTX (n = 515) | 50.4 (NR) | 74 | 0.30 (NR) | 6 | ||
PREMIER109 | MTX + PBO (n = 257) | 52.0 (13.1) | 73.9 | Yes | 0.8 (0.9) | 6.3 (0.9) |
ADA monotherapy + PBO step-up week 16 (n = 274) | 52.1 (13.5) | 77.4 | 0.7 (0.8) | 6.4 (0.9) | ||
ADA + MTX step-up week 16 (n = 268) | 51.9 (14.0) | 72.0 | 0.7 (0.8) | 6.3 (0.9) | ||
COMET81,82 | MTX + PBO (n = 268) | 52·3 (0.8) | 73 | NR | Months 9.3 (0.4) | 6.5 (1.0) |
ETN + MTX (n = 274) | 50·5 (0.9) | 74 | Months 8.8 (0.4) | 6.5 (1.0) | ||
Bathon and Genovese, 2000139 | MTX + PBO (n = 217) | 49 (13) | 75 | NR | 1 (0.92) | NR |
ETN + PBO (n = 207) | 50 (13) | 74 | 1 (0.92) | NR | ||
GO-BEFORE90 | PBO+MTX (n = 160) | 48.6 (12.91) | 83.8 | NR | ≤ 3 years = 72.5%; ≤ 2 years = 61.9%; ≤ 1 year = 45.6% | ESR 6.2 (1.17); CRP 5.6 (1.06) |
GOL + MTX (n = 159) | 50.9 (11.32) | 84.9 | ≤ 3 years = 73.0%; ≤ 2 years = 64.2%; ≤ 1 year = 50.9% | ESR 6.3 (1.11); CRP 5.7 (1.05) | ||
ASPIRE71 | PBO i.v. + MTX (n = 298) | 50 (13) | 75 | NR | 0.9 (0.7) | NR |
IFX + MTX (n = 373) | 51 (12) | 71 | 0.8 (0.7) | NR | ||
BeST78 | Sequential monotherapy (DAS steered) (n = 126) | 54 (13) | 68 | Yes | 23 weeksd | DAS44 4.5 (0.9) |
Step-up combination therapy (DAS steered) (n = 121) | 54 (13) | 71 | 26 weeksd | DAS44 4.5 (0.8) | ||
Initial combination therapy with prednisone (DAS steered) (n = 133) | 55 (14) | 65 | 23 weeksd | DAS44 4.4 (0.9) | ||
Initial combination therapy with IFX (DAS steered) (n = 128) | 54 (14) | 66 | 23 weeksd | DAS44 4.3 (0.9) | ||
Durez et al., 2007120 | MTX (n = 14) | 53.8 (15.2) | 71 | NR | 0.45 (0.29) | CRP 5.2 (0.8) |
MTX + MP (n = 15) | 50.3 (14.2) | 60 | 0.25 (0.33) | 5.3 (1.3) | ||
IFX + MTX (n = 15) | 50.0 (9.9) | 67 | 0.36 (0.31) | 5.3 (1.1) | ||
IDEA95 | MP + MTX (n = 112 across both groups) | NR | NR | Yes | NR (described as early RA, 3–12 months symptom duration) | NR |
IFX 3 mg/kg i.v. at weeks 0, 2, 6, 14, 22 + MTX (IFX dose modifications permitted according to DAS44 from week 26) | NR | NR | NR | |||
Quinn et al., 2005110 | MTX + PBO (n = 10) | 53.1 (13.7) | 70 | NR | 0.5 (0.31) | 7.0 (0.9) |
IFX + MTX (n = 10) | 51.3 (9.5) | 60 | 0.62 (0.38) | 6.2 (0.8) |
Adults with moderate to severe and severe active rheumatoid arthritis who have been previously treated with cDMARDs (but not bDMARDs) (cDMARD experienced) (populations 2 and 3)
Population characteristics for populations 2 and 3 are presented in Tables 9 and 10.
Trial name/study | Treatment arms | Mean age (years) (SD) | Sex (% female) | Early withdrawal plan reported? | Disease duration (years) (SD) | Mean DAS28 at baseline (SD) – ESR unless stated to be CRP |
---|---|---|---|---|---|---|
ATTEST74 | PBO + MTX (n = 110) | 49.4 (11.5) | 87.3 | NR | 8.4 (8.6) | ESR 6.8 (1.0) |
IFX + MTX (n = 165)a | 49.1 (12.0) | 82.4 | 7.3 (6.2) | 6.8 (0.9) | ||
ABT + MTX (n = 156)b | 49.0 (12.5) | 83.3 | 7.9 (8.5) | 6.9 (1.0) | ||
AMPLE66 | ABT s.c. (n = 318) | 51.4 | 81.4 | NR | 1.9 | CRP 5.5 |
ADA (n = 328) | 51.0 | 82.3 | 1.7 | CRP 5.5 | ||
RED-SEA114 | ADA + cDMARDs (n = 60) | 55.0 | 75 | NR | 7.0 (range 3.3–13.0) | 5.6 |
ETN50 + cDMARDs (n = 60) | 53.2 | 70 | 5.5 (range 2.0–14.5) | 5.8 | ||
ADACTA58 | TCZ + PBO (n = 163) | 54.4 (13.0) | 79 | Yes | 7.3 (8.1) | 6.7 (0.9) |
ADA + PBO (n = 163) | 53.3 (12.4) | 82 | 6.3 (6.9) | 6.8 (0.9) | ||
deFilippis et al., 200685 | ETN + MTX (n = 16) | 44.7 (14.17) | NR | NR | NR | NR |
IFX + MTX (n = 16) | 46.79 (10.9) | NR | NR | NR |
Trial name/study | Treatment arms | Mean age (years) (SD) | Sex (% female) | Early withdrawal plan reported? | Disease duration (years) (SD) | Mean DAS28 at baseline (SD) – ESR unless stated to be CRP |
---|---|---|---|---|---|---|
AIM61,62 | MTX + PBO (n = 219) | 50.4 | 81.7 | NR | 8.9 (7.1) | CRP 6.4 (0.1) |
ABT i.v. + MTX (n = 433) | 51.5 | 77.8 | 8.5 (7.3) | CRP 6.4 (0.08) | ||
ASSET72 | PBO + MTX (n = 23) | 52.5 (11.5) | 69.6 | NR | 2.4 (1.4) | CRP 5.3 (0.9) |
ABT i.v. (≈10 mg/kg) + MTX (n = 27) | 51.7 (11.2) | 59.3 | 2.1 (1.5) | CRP 5.3 (1.1) | ||
ASSURE73 | PBO + cDMARDs (n = 482) | 52.0 (12.1) | 83.7 | NR | 9.5 (9.1) | NR |
ABT + cDMARDs (n = 959) | 52.2 (11.8) | 83.1 | 9.5 (8.7) | NR | ||
AUGUST II76 | MTX + PBO (n = 76) | 54 | 84 | NR | 8.4 | 5.8 |
ADA + MTX (n = 79) | 53 | 81 | 8.8 | 5.8 | ||
CHANGE80 | PBO (n = 87) | 53.4 | 77 | Yes | 8.4 | NR |
ADA (n = 91) | 56.9 | 79.1 | 9.9 | NR | ||
DE01984 | MTX + PBO (n = 200) | 56.1 | 73 | Yes | 10.9 | NR |
ADA + MTX (n = 207) | 56.1 | 76.3 | 11 | NR | ||
STAR117 | PBO + cDMARDs (n = 318) | 55.8 | 79.2 | NR | 11.5 | NR |
ADA + cDMARDs (n = 318) | 55 | 79.6 | 9.3 | NR | ||
Van De Putte et al., 2004122 | PBO s.c. (n = 110) | 53.5 (13.2) | 77.3 | Yes | 11.6 (9.3) | 7.09 (0.87) |
ADA monotherapy (n = 113) | 52.7 (13.3) | 79.6 | 10.6 (6.9) | 7.07 (0.86) | ||
ARMADA69 | MTX + PBO (n = 62) | 56 | 82.3 | Yes | 11.1 | NR |
ADA + MTX (n = 67) | 57.2 | 74.6 | 12.2 | NR | ||
Kim et al., 200799 | MTX + PBO rescue week 18 (n = 65) | 49.8 | 85.7 | Yes | 6.9 | NR |
ADA + MTX (n = 63) | 48.5 | 95.4 | 6.8 | NR | ||
CERTAIN79 | PBO + cDMARDs (n = 98) | 54.0 (12.4) | 76.5 | Yes | 4.7 (3.3) | ESR 4.47 (0.34) |
CTZ + DMARDs (n = 96) | 53.6 (11.9) | 84.4 | 4.5 (3.5) | ESR 4.53 (0.43) | ||
REALISTIC113 | PBO + existing cDMARDs (biologic-naive subgroup) (n = 29) | NR 53.9 (12.7) (overall trial population, n = 212) |
79.7 (overall trial population, n = 212) | NR No (N/A as trial only 12 weeks) |
8.9 (9.1) (overall trial population, n = 212) | DAS28-ESR 6.4 (0.9); DAS28-CRP 5.7 (0.9) (Overall trial population, n = 212) |
CTZ existing cDMARDs (biologic-naive subgroup) (n = 134) | 55.4 (12.4) (overall trial population, n = 851) | 77.6 (overall trial population, n = 851) | 8.6 (8.8) (overall trial population, n = 851) | DAS28-ESR 6.4 (0.9); DAS28-CRP 5.7 (0.9) (Overall trial population, n = 851) |
||
ADORE59,60 | ETN (n = 159) | 53 | 79.2 | NR | 10.0 | 6.2 |
ETN + MTX (n = 155) | 54 | 76.8 | 9.8 | 6.3 | ||
CREATE IIb96 | DMARD + PBO (n = 65) | 51.5 | 83.1 | NR | 8.2 (7.59) | 6.3 (0.76) |
ETN50 + DMARD (n = 64) | 51.2 | 85.9 | 7.9 (7.15) | 6.4 (0.85) | ||
Combe et al., 2006,88 Combe et al., 200989 | SSZ + PBO (n = 50) | 53.3 | 82 | NR | 5.6 | DAS44-ESR 5.0 |
ETN + PBO (n = 103) | 51.3 | 78.6 | 7.1 | DAS44-ESR 5.1 | ||
ETN + SSZ (n = 101) | 50.6 | 80.2 | 6.5 | DAS44-ESR 5.2 | ||
JESMR140 | ETN (n = 74) | 58.1 (12.6) | 87.3 | NR | 10.6 (10.5) | 6.1 |
ETN + MTX 6–8 mg/week (n = 77) | 56.5 (11.1) | 80.0 | 8.1 (7.7) | 6.0 | ||
Lan et al., 2004101 | PBO + MTX (n = 29) | 50.79 | 90 | NR | NR (eligibility more than one year) | NR |
ETN + MTX (n = 29) | 47.55 | 83 | NR | |||
LARA102 | MTX + DMARD (n = 142) | 48.6 | 90.1 | NR | 9.0 (7.5) | 5.9 |
ETN50 + MTX (n = 281) | 48.4 | 88.3 | 7.9 (7.0) | 5.9 | ||
Moreland et al., 1999104 | PBO (n = 800) | 51 | 76 | NR | 12 | NR |
ETN + PBO (n = 78) | 53 | 74 | 11 | NR | ||
O’Dell et al., 2013112 | MTX + SSZ + HCQ (n = 178) | 57.8 (13) | 43.4 | Yes | 5.5 (9.3) | 5.8 |
ETN50 + MTX (n = 175) | 56 (13.2) | 48.9 | 4.9 (8.0) | 5.9 | ||
Wajdula 2000 (reported in Chen et al., 2006123) | PBO (n = 111) | 53 | NR | N/A (12 week study) | 7.2 | NR |
ETN (n = 105) | 53 | NR | 7.5 | NR | ||
Weinblatt et al., 1999124 | MTX + PBO (n = 30) | 53 | 73 | Yes | 13 | NR |
ETN + MTX (n = 59) | 48 | 90 | 13 | NR | ||
APPEAL67 | MTX + DMARD (SSZ, HCQ or LEF) (n = 103) | 48.5 (11.3) | 88.4 | NR | 6.9 (8.5) | ESR 6.1 (1.1); CRP 5.34 (1.1) |
ETN + MTX (n = 197) | 48.4 (12.0) | 91.4 | 6.5 (7.3) | ESR 6.1 (1.1); CRP 5.23 (1.1) | ||
GO-FORTH91 | PBO + MTX 6–8 mg/week (n = 90) | 51.1 (11.6) | 83.0 | Yes | 8.7 (8.2) | ESR 5.6 (0.99) |
GOL + MTX 6–8 mg/week (n = 89) | 50.4 (9.9) | 84.9 | 8.8 (8.8) | ESR 5.5 (1.18) | ||
GO-FORWARD92 | PBO + MTX (n = 133) | Mean (SD) = 51.2 (11.96) 52.0 (42.0–58.0)a |
82.0 (109/133) | Yes | Mean (SD) = 8.62 (7.86) 6.5 (3.1–11.9)a |
CRP 5.458 (4.672–6.093);a ESR 6.111 (5.260–6.574)a |
GOL + MTX (n = 89) | Mean (SD) = 50.3 (10.98) 52.0 (43.0–57.0)a |
80.9 (72/89) | Mean (SD) = 7.33 (7.83) 4.5 (2.1–9.7)a |
CRP 5.766 (4.628–6.322)a | ||
Kay et al., 200898 | PBO s.c. + MTX (n = 35) | (46.0–66.0)a | 74.3 | Yes | 5.6 (1.4–10.9)a | CRP 5.8 (5.2–6.4);a ESR 6.3 (5.7–7.0)a |
GOL + MTX (n = 35) | 57.0 (50.0–64.0)a | 85.7 | 8.2 (4.1–14.3)a | CRP 5.9 (5.5–6.9);a ESR 6.4 (5.6–7.3)a | ||
Abe et al., 200656 | PBO + MTX (n = 47) | 55.1 (7.6) | 74.5 (35/47) | NR | 7.5 (5.0) | NR |
IFX + MTX (n = 49) | 55.2 (10.9) | 81.6 (40/49) | 9.1 (7.4) | NR | ||
ATTRACT75 | PBO + MTX (n = 88) | 51 (19.0–75.0)a | 80 (70/88) | NR | 8.9 (0.8–35.0)b | NR |
IFX + MTX (n = 86) | 56 (25.0–74.0)a | 81 (70/86) | 8.4 (0.7–45.0)b | NR | ||
Durez et al., 200486 | Single i.v. infusion of MP (sodium hemisuccinate) at week 0 + MTX (n = 15) | 56 (35–79)b | 73 | NR | 12 (1–24)b | NR |
IFX + MTX (n = 12) | 48 (34–60)b | 100 | 10 (2–20)b | NR | ||
START118 | PBO + MTX (n = 363) | 52.0 (44–61)a | 83.2 | Yes | 8.4 (4–15)a | NR |
IFX + MTX (n = 360) | 53.0 (45–61)a | 80.0 | 7.8 (3–15)a | NR | ||
Swefot119 | SSZ + HCQ + MTX (n = 130) | 52.9 (13.9) | 78 (101/130) | Yes | 0.525 | 4.79 (1.05) |
IFX + MTX (n = 128) | 51.1 (13.3) | 76 (97/128) | 0.517 | 4.91 (0.98) | ||
Wong et al., 2009125 | PBO + MTX (with crossover to open-label IFX at week 24) (n = 9) | 50 (16) | 8/9 | Yes | NR | 6.4 (0.8) |
IFX + MTX (n = 17) | 48 (12) | 14/17 | NR | 6.2 (0.9) | ||
Zhang et al., 2006126 | PBO + MTX (n = 86) | 48.9 (8.0) | 84.9 | NR | 8 (6.22) | NR |
IFX + MTX (n = 87) | 47.9 (10.1) | 85.1 | 7.13 (6.17) | NR | ||
ACT-RAY57 | TCZ + PBO (n = 277) | 53.6 (11.9) | 78.6 | NR | 8.3 (8.4) | ESR 6.36 (1.00) |
TCZ + MTX (n = 276) | 53.0 (13.4) | 81.9 | 8.2 (8.0) | ESR 6.33 (0.98) | ||
MEASURE103 | PBO + MTX (n = 69) | NR | NR | Yes | NR | NR |
TCZ + MTX (n = 69) | NR | NR | NR | NR | ||
Nishimoto et al., 2004106 | PBO (n = 53) | 53.0 (31–73)b | 73.6 | NR | 8.4 (0.7–52.7)b | NR |
TCZ monotherapy (n = 55) | 56.0 (25–74)b | 83.6 | 8.3 (1.3–45.7)b | NR | ||
SAMURAI115 | cDMARDs (n = 145) | 53.1 | 82 | NR | 124.8 weeks | 6.4 |
TCZ monotherapy (n = 157) | 52.9 | 79.6 | 114.4 weeks | 6.5 | ||
SATORI116 | PBO + MTX (n = 64) | 50.8 (12.2) | 48/64 evaluated | NR | 8.7 (7.1) | 6.2 (0.9) |
TCZ + PBO (n = 61) | 52.6 (10.6) | 90.2 | 8.5 (8.4) | 6.1 (0.9) | ||
TOWARD121 | PBO + stable cDMARDs (n = 415) | 54 (13) | 84 | Yes | 9.8 (9.1) | 6.6 (1.0) |
TCZ + stable DMARDs (n = 805) | 53 (13) | 81 | 9.8 (8.8) | 6.7 (1.0) | ||
TACIT141 | AiC information has been removed | AiC information has been removed | AiC information has been removed | AiC information has been removed | AiC information has been removed | AiC information has been removed |
AiC information has been removed | AiC information has been removed | AiC information has been removed | AiC information has been removed | AiC information has been removed |
Additional population characteristics are outlined in Tables 350–355 (see Appendix 4).
Assessment of effectiveness
Disease activity and physical function
American College of Rheumatology response
One head-to-head RCT in MTX-naive patients was identified in the systematic review. 100 However, no ACR response data were available in this trial. A total of 13 RCTs of biologic versus DMARD(s) or PBO reported ACR response data in MTX-naive patients (six for ADA,77,93,94,107,109,142 two for ETN,81,139 one for GOL90 and four for IFX71,78,110,120) (Table 11). Statistically significant differences in ACR response favouring biologic treatment over comparator were reported for ADA (four studies94,107,109,142), ETN (two studies81,139), GOL (one study90) and IFX (two studies71,120). Seven of the 12 RCTs contributed data to a NMA of ACR response for population 1 (three for ADA,94,109,142 one for ETN,81,139 one for GOL90 and two for IFX78,120).
Trial name/study | Treatment arms for which data extraction performed | Assessment time point | Numbers analysed | % achieving ACR20 response | % achieving ACR50 response | % achieving ACR70 response | Data used in NMA? |
---|---|---|---|---|---|---|---|
Bejarano et al., 200877 | PBO + MTX | 56 weeks | 73 | 54.8 | 45.2 | 37.5 | No |
ADA + MTX | 75 | 71.6 | 56.0 | 50.7 | |||
GUEPARD93 | Initial MTX 12 weeks, then step-up therapy in both groups based on DAS28 | 12 weeks | 32 | 50 | 27 | 19 | No |
Initial ADA + MTX 12 weeks, then step-up therapy in both groups based on DAS28 | 33 | 84 | 66 | 44 | |||
GUEPARD93 | Initial MTX 12 weeks, then step-up therapy in both groups based on DAS28 | 52 weeks | 32 | 81 | 68 | 58 | No |
Initial ADA+MTX 12 weeks, then step-up therapy in both groups based on DAS28 | 33 | 85 | 67 | 42 | |||
HIT HARD94 | PBO + MTX | 24 weeks | 85 | 67.6 | 48.7 | 26.8 | Yes |
ADA + MTX | 87 | 79.0 | 63.8 | 48.0a | |||
OPERA107 | PBO + MTX + steroid | 12 months | 91 | 78 | 63 | 45 | No |
ADA + MTX + steroid | 89 | 86 | 80a | 65a | |||
OPTIMA142 | PBO + MTX | 26 weeks | 517 | 57 | 34 | 17 | Yes |
ADA + MTX | 515 | 70b | 52b | 35b | |||
PREMIER109 (Supplementary data identified via ClinicalTrials.gov) |
PBO + MTX | 26 weeks | 257 | 61.5 | 40.5 | 22.2 | Yes |
ADA monotherapy + PBO | 274 | 53.3 | 35.0 | 19.7 | |||
ADA + MTX | 268 | 68.7 | 58.6 | 42.5 | |||
PREMIER109 | PBO + MTX | 1 year | 257 | 63 | 46 | 28 | No |
ADA monotherapy + PBO | 274 | 54a (vs. MTX monotherapy) | 41 | 26 | |||
ADA + MTX | 268 | 73a (vs. MTX monotherapy), b (vs. ADA monotherapy) | 62b | 46b | |||
PBO + MTX | 2 years | 257 | 56 | 43 | 28 | No | |
ADA monotherapy + PBO | 274 | 49 | 37 | 28 | |||
ADA + MTX | 268 | 69a (vs. MTX monotherapy), b (vs. ADA monotherapy) | 59b | 47b | |||
COMET81 | PBO + MTX | 24 weeks | 268 | 169 | 102 | 47 | Yes |
ETN + MTX | 274 | 224 | 167 | 103 | |||
PBO + MTX | 52 weeks | 268 | 67 | 49 | 28 | No | |
ETN + MTX | 274 | 86 | 71 | 48b | |||
COMET82 | MTX in year 1, MTX in year 2 | 2 years (week 104) | 99 | 61 | 46 | 32 | No |
MTX year 1, ETN + MTX in year 2 | 90 | 81a | 66a | 48a | |||
ETN + MTX in year 1, ETN + MTX in year 2 | 111 | 86a | 70a | 57b | |||
ETN + MTX in year 1, ETN in year 2 | 111 | 80 | 64 | 44 | |||
ERA139 | PBO + MTX | 6 months | 217 | 58.2 | 31.54 | 14.24 | Yes |
ETN + PBO | 207 | 65.42 | 40.14 | 20.94a | |||
PBO + MTX | 12 months | 217 | 66c | 44c | 23c | No | |
ETN + PBO | 207 | 72c | 49c | 26c | |||
GO-BEFORE90 | PBO + MTX | 24 weeks | 160 | 49.4 | 29.4 | 15.6 | Yes |
GOL + MTX | 159 | 61.6a | 40.3a | 23.9 | |||
GO-BEFORE143 | PBO + MTX | 52 weeks | 160 | 63.1 | 40.6 | 24.4 | No |
GOL + MTX | 159 | 68.6 | 43.4 | 28.3 | |||
ASPIRE71 | PBO + MTX | 54 weeks | 274 | 53.6 | 32.1 | 21.2 | No |
IFX + MTX | 351 | 62.4a | 45.6b | 32.5a | |||
BeST78 | Sequential monotherapy | 6 months | 126 | 49.69 | NR | 15.9 | Yes |
Step-up combination therapy | 121 | 60.04 | NR | 11.77 | |||
Initial combination therapy + prednisone | 133 | 70.63 | NR | 26.58 | |||
Initial combination therapy + IFX | 128 | 74.3 | NR | 31.15 | |||
Durez et al., 2007120 | MTX | 22 weeks | 14 | 28.13 | 7.69 | 0 | Yes |
MTX + i.v. MP | N/A | N/A | N/A | N/A | N/A | ||
IFX + MTX | 22 weeks | 15 | 86.72a | 66.85a | 33.79a | ||
MTX | 52 weeks | 14 | 46c | 39c | 14c | No | |
MTX + i.v. MP | 15 | 87c | 67c | 53c | |||
IFX + MTX | 15 | 80c | 65c | 29c | |||
Quinn et al., 2005110 | PBO + MTX | 14 weeks | 10 | 20 | 0 | 0 | No |
IFX + MTX | 10 | 60 | 60 | 60 | |||
PBO + MTX | 54 weeks | 10 | 60 | 40 | 30 | No | |
IFX + MTX | 10 | 80 | 80 | 70 |
(NB: in the outcome tables that follow throughout Results, citations are provided where data were extracted from sources additional to the primary publication.)
Four head-to-head RCTs reporting ACR response data in cDMARD-experienced patients were identified (Table 12). Statistically significantly greater proportions of patients achieved ACR20, ACR50 and ACR70 responses in the IFX plus MTX and abatacept i.v. plus MTX treatment groups of the A Trial for Tolerability, Efficacy, and Safety in Treating rheumatoid arthritis (infliximab) (ATTEST) trial,74 when compared against PBO plus MTX. Statistically significant findings were also identified in the ADalimumab ACTemrA (tocilizumab) head-to-head study (ADACTA), whereby greater proportions of patients receiving TCZ monotherapy achieved ACR responses than among patients receiving ADA monotherapy. 58 Thirty-six RCTS evaluating biologic versus DMARD(s) or PBO in cDMARD-experienced patients reported ACR response data (Table 13). Statistically significant findings were reported (four ADA trials,76,84,117,122 one CTZ trial,79 eight ETN trials,89,101,102,104,105,111,124,140 three GOL trials,91,92,98 five IFX trials75,86,118,119,126 and three TCZ trials106,115,121) for ACR response across a range of time points favouring biologic over comparator treatment.
Trial name/study | Treatment arms for which data extraction performed | Assessment time point | Numbers analysed | % achieving ACR20 response | % achieving ACR50 response | % achieving ACR70 response | Data used in NMA? |
---|---|---|---|---|---|---|---|
ATTEST74 | PBO + MTX | Day 197 | 110 | 41.8 | 20 | 9.1 | Yes |
IFX + MTX | Day 197 | 165 | 59.4a (vs. PBO) | 37a (vs. PBO) | 24.2a (vs. PBO) | ||
ABT i.v. + MTX | Day 197 | 156 | 66.7b (vs. PBO) | 40.4b (vs. PBO) | 20.5a (vs. PBO) | ||
AMPLE66 | ABT s.c. | 28 weeks (197 days) | 328 | 66.13 | 45.7 | 24.19 | Yes |
ADA | 28 weeks (197 days) | 318 | 64.52 | 42.47 | 22.58 | ||
AMPLE144 | ABT s.c. | 1 year | 328 | 64.8 | 46.2 | 29.2 | No |
ADA | 1 year | 318 | 63.4 | 46 | 26.2 | ||
ADACTA58 | TCZ + s.c. PBO | 24 weeks | 163 | 65.0a | 47.2a | 32.5a | Yes |
ADA + i.v. PBO | 24 weeks | 162 | 49.4 | 27.8 | 17.9 | ||
deFilippis et al., 200685 | ETN + MTX | 22 weeks | 15 | 60 | 26 | 7 | Yes |
IFX + MTX | 22 weeks | 15 | 60 | 33 | 7 | ||
ETN + MTX | 54 weeks | 15 | 74 | 53 | 7 | No | |
IFX + MTX | 54 weeks | 15 | 60 | 19 | 20 |
Trial name/study | Treatment arms for which data extraction performed | Assessment time point | Numbers analysed | % achieving ACR20 response | % achieving ACR50 response | % achieving ACR70 response | Data used in NMA? |
---|---|---|---|---|---|---|---|
AIM62 | PBO + MTX | 6 months | 219 | 39.7 | 16.8 | 6.5 | Yes |
ABT i.v. + MTX | 433 | 67.9 | 39.9 | 19.8 | |||
PBO + MTX | 12 months | 219 | 39.7 | 18.2 | 6.1 | No | |
ABT i.v. + MTX | 433 | 73.1 | 48.3 | 28.8 | |||
AUGUST II76 | PBO + MTX | 26 weeks | 76 | 46 | 15 | 5 | Yes |
ADA + MTX | 79 | 71b | 38b | 18a | |||
CHANGE80 | PBO | 24 weeks | 87 | 13.8 | 5.7 | 1.1 | Yes |
ADA monotherapy | 91 | 44 | 24.2 | 12.1 | |||
DE01984 | PBO + MTX | 24 weeks | 200 | 29.5 | 9.5 | 2.5 | Yes |
ADA + MTX | 207 | 63.3 | 39.1 | 20.8 | |||
PBO + MTX | 52 weeks | 200 | 24.0 | 9.5 | 4.5 | No | |
ADA + MTX | 207 | 58.9b | 41.5b | 23.2b | |||
STAR117 | PBO + cDMARDs | 24 weeks | 318 | 34.9 | 11.3 | 3.5 | Yes |
ADA + cDMARDs | 318 | 52.8a | 28.9a | 14.8a | |||
Van De Putte et al., 2004122 | PBO s.c. | 26 weeks | 110 | 19.1 | 8.2 | 1.8 | Yes |
ADA monotherapy | 113 | 46.0b | 22.1a | 12.4a | |||
ARMADA69 | PBO + MTX | 24 weeks | 62 | 14.5 | 8.1 | 4.8 | Yes |
ADA + MTX | 67 | 67.2 | 55.2 | 26.9 | |||
Kim et al., 200799 | PBO + MTX | 24 weeks | 63 | 36.5 | 14.3 | 7.9 | Yes |
ADA + MTX | 65 | 61.5 | 43.1 | 21.5 | |||
CERTAIN79 | PBO + cDMARDs | 24 weeks | 98 | 15.3 | 7.1 | 3.1 | Yes |
CTZ + DMARDs | 96 | 36.5a | 20.8a | 9.4 | |||
REALISTIC113 | PBO + existing cDMARDs | 12 weeks | 29 | 20.7 | NR | NR | No |
CTZ + existing cDMARDs | 134 | 54.5 | NR | NR | |||
ADORE59,60 | ETN monotherapy | 16 weeks | 155 | 71.0 | 41.9 | 17.4 | No |
ETN + MTX | 152 | 67.1 | 40.1 | 18.4 | |||
CREATE IIb96,145 | PBO + DMARD | 24 weeks | 65 | 32.3 | 16.9 | 4.6 | Yes |
ETN50 + DMARD | 64 | 65.6 | 46.9 | 23.4 | |||
ETN study 30989 | PBO + SSZ | 24 weeks | 50 | 28.0 | 14.0 | 2.0 | Yes |
ETN + PBO | 103 | 73.8a (vs. SSZ) | 46.6 | 21.4 | |||
ETN + SSZ | 101 | 74.0a (vs. SSZ, NS vs. ETN + PBO) | 52.0a (vs. SSZ, NS vs. ETN + PBO) | 25.0a (vs. SSZ, NS vs. ETN + PBO) | |||
PBO + SSZ | 104 weeks | 50 | 34 | 10c | 2c | No | |
ETN + PBO | 103 | 67a (vs. SSZ) | 45a (vs. SSZ),c | 24a (vs. SSZ),c | |||
ETN + SSZ | 101 | 77a (vs. SSZ) | 58a (vs. SSZ),c | 27a (vs. SSZ),c | |||
JESMR140 | ETN monotherapy | 24 weeks | 69 | 63.8 | 47.8 | 26.1 | Yes |
ETN + MTX | 73 | 90.4b | 64.4 | 38.4 | |||
ETN monotherapy | 52 weeks | 69 | 63.8 | 43.5 | 29 | No | |
ETN + MTX | 73 | 86.3b | 76.7b | 50.7a | |||
Lan et al., 2004101 | PBO + MTX | 12 weeks | 29 | 34 | 10 | 0 | No |
ETN + MTX | 29 | 90b | 66b | 24 | |||
LARA102 | MTX + DMARD | 24 weeks | 142 | 50 | 23.2 | 11.3 | Yes |
ETN50 + MTX | 279 | 83.2b | 62b | 34.8b | |||
Moreland et al., 1999;104 Mathias et al., 2000105 | PBO | 3 months | 80 | 23 | 8 | 4 | No |
ETN + PBO | 78 | 62b | 41b | 15a | |||
PBO | 6 months | 80 | 11 | 5 | 1 | Yes | |
ETN + PBO | 78 | 59b | 40b | 15b | |||
RACAT111 | MTX + SSZ + HCQ | 24 weeks | 159 | 55.97 | 25.79 | 5.03 | Yes |
ETN50 + MTX | 163 | 55.21 | 35.58 | 15.95a | |||
MTX + SSZ + HCQ In analysis, n = 154 (of whom 39 switched to ETN) |
48 weeks | 154 | 57.4 | 35.5 | 18.1 | No | |
ETN50 + MTX (n = 175) In analysis, n = 155 (of whom 41 switched to MTX + SSZ + HCQ) |
155 | 65.8 | 42.6 | 26.5 | |||
Wajdula 2000 (reported in Chen et al., 2006123) | PBO | 12 weeks | 100 | 12 | 5 | 1 | No |
ETN | 109 | 70 | 34 | 13 | |||
Weinblatt et al., 1999124 | PBO + MTX | 24 weeks | 30 | 27 | 3 | 0 | Yes |
ETN + MTX | 59 | 71b | 39b | 15a | |||
APPEAL67 | MTX + DMARD (SSZ, HCQ or LEF) | 16 weeks | 103 | 58 | 35 | 7 | No |
ETN + MTX | 197 | 79b | 57b | 19a | |||
GO-FORTH91 | PBO + MTX | 14 weeks | 88 | 27.3 | 9.1 | 2.3 | No |
GOL + MTX | 86 | 72.1b | 43.0b | 22.1b | |||
PBO + MTX | 24 weeks | 88 | 33.0 | 14.8 | 5.7 | Yes | |
GOL + MTX | 86 | 70.9b | 41.9b | 26.7b | |||
GO-FORWARD92 | PBO + MTX | 14 weeks | 133 | 33.1 | 9.8 | 3.8 | No |
GOL + MTX | 89 | 55.1b | 34.8b | 13.5a | |||
PBO + MTX | 24 weeks | 133 | 27.8 | 13.5 | 5.3 | Yes | |
GOL + MTX | 89 | 59.6b | 37.1b | 20.2b | |||
Kay et al., 200898 | PBO + MTX | 16 weeks | 35 | 37.1 | 5.7 | 0 | No |
GOL + MTX | 35 | 60.0 | 37.1b | 8.6 | |||
Abe et al., 200656 | PBO + MTX | 14 weeks | 47 | 23.4 | 8.5 | 0 | No |
IFX + MTX | 49 | 61.2 | 30.6 | 10.2 | |||
ATTRACT75 | PBO + MTX | 30 weeks | 84 | 20 | 5 | 0 | Yes |
IFX + MTX | 83 | 50 | 27b | 8a | |||
Lipsky et al., 2000146 | PBO + MTX | 54 week | 88 | 17 | 8 | 2 | No |
IFX + MTX | 86 | 42b | 21a | 10a | |||
Durez et al., 200486 | MP i.v. + MTX | 14 weeks | 12 | 8 | 0 | 0 | No |
IFX + MTX | 9 | 67a | 44a | 0 | |||
Swefot119 | SSZ + HCQ + MTX | 12 months after study inclusion [8–9 months (35–39 weeks) after randomisation] | 130 | 28 | 15 | 7 | No |
IFX + MTX | 128 | 42a | 25a | 12 | |||
Swefot147 | SSZ + HCQ + MTX | 24 months after study inclusion [20–21 months (87–91 weeks) after randomisation] | 130 | 33 | 22 | 14 | No |
IFX + MTX | 128 | 40 | 30 | 16 | |||
START118 | PBO + MTX | 22 weeks | 363 | 25.5 | 9.7 | 4.7 | Yes |
IFX + MTX | 360 | 58.0b | 32.1b | 14.0b | |||
Zhang et al., 2006126 | PBO + MTX | 18 weeks | NR (86 randomised) | 48.84 | 25.58 | 13.95 | No |
IFX + MTX | NR (87 randomised) | 75.86b | 43.68a | 22.99 | |||
ACT-RAY57 | TCZ + oral PBO | 24 weeks | 276 | 70.3 | 40.2 | 25.4 | Yes |
TCZ + MTX | 277 | 71.5 | 45.5 | 24.5 | |||
MEASURE103 | PBO + MTX | 12 weeks | NR | 25 | 6 | 3 | No |
TCZ + MTX | NR | 51 | 17 | 10 | |||
Nishimoto et al., 2004106 | PBO | 12 weeks | 53 | 11.3 | 1.9 | 0 | No |
TCZ | 55 | 78.2b | 40.0b | 16.4a | |||
SAMURAI115 | cDMARDs | 24 weeks | 145 | 38.67 | 17.64 | 6.86 | Yes |
TCZ | 157 | 82.06 | 57.27 | 33.82 | |||
cDMARDs | 52 weeks | 145 | 34 | 13 | 6 | No | |
TCZ | 157 | 78b | 64b | 44b | |||
SATORI116 | PBO + MTX | 24 weeks | 64 | 25.0 | 10.9 | 6.3 | Yes |
TCZ + PBO capsules | 61 | 80.0 | 49.2 | 29.5 | |||
TOWARD121 | PBO + stable cDMARDs | 24 weeks | 413 | 24.5 | 9 | 2.9 | Yes |
TCZ + stable DMARDs | 803 | 60.8b | 37.6b | 20.5b |
European League Against Rheumatism response
The only head-to-head trial for MTX-naive patients100 did not report EULAR data. Three MTX-naive trials reported EULAR data, of which two were ADA trials93,107 and one was a GOL trial90 (Table 14). GUÉrir la PolyARthrite rheumotoide Débutante (adalimumab) (GUEPARD)93 reported a significantly better EULAR response for ADA plus MTX than for MTX alone at 12 weeks’ follow-up, but at 1-year follow-up, when both groups had undergone step-up therapy, the groups were responding similarly well. OPtimized treatment algorithm for patients with Early Rheumatoid Arthritis (OPERA)107 reported similar EULAR responses for ADA plus MTX plus steroid and for MTX plus PBO plus steroid at the 1-year follow-up. GOlimumab in active rheumatoid arthritis BEFORE methotrexate therapy (GO-BEFORE),90 at 24 weeks, reported a significantly better EULAR response for GOL plus MTX and for PBO plus MTX, but at the 1-year follow-up the groups were doing similarly well. GO-BEFORE90 contributed EULAR data to the NMA, whereas the others did not report data within 22–30 weeks’ follow-up.
Trial name/author, year | Treatment arms for which data extraction performed | Assessment time point | Numbers analysed | % achieving no EULAR response | % achieving moderate EULAR response | % achieving good EULAR response | % EULAR responder (moderate/good) | In NMA? |
---|---|---|---|---|---|---|---|---|
GUEPARD93 | MTX | Week 12 | 32 | NR | NR | 25 | NR | No |
ADA + MTX | Week 12 | 33 | NR | NR | 63.6a | NR | No | |
Initial MTX 12 weeks, then step-up therapy |
Week 52 | 32 | NR | NR | 65.6 | NR | No | |
Initial ADA + MTX 12 weeks, then step-up therapy |
Week 52 | 33 | NR | NR | 63.6 | NR | No | |
OPERA107 | MTX + PBO + steroid | 12 months | 91 | 7 | 20 | 74 | 94 | No |
ADA + MTX + steroid | 12 months | 89 | 7 | 11 | 82 | 93 | No | |
GO-BEFORE90 | PBO + MTX | 24 weeks | 160 | 38.7 | NR | NR | 61.3 | Yes |
GOL + MTX | 24 weeks | 159 | 27 | NR | NR | 73a | Yes | |
GO-BEFORE143 | PBO + MTX | 52 weeks | 160 | 25.6 | NR | NR | 74.4 | No |
GOL + MTX | 52 weeks | 159 | 19.5 | NR | NR | 80.5 | No |
There were three trials of head-to-head biologics for cDMARD-experienced patients who reported EULAR response data (Table 15). ATTEST74 showed that patients treated with ABT plus MTX or IFX plus MTX responded similarly at 6 months’ follow-up. A Randomised Efficacy and Discontinuation Study of Etanercept versus Adalimumab (RED-SEA)114 reported ADA plus cDMARDs and ETN (50 mg) once a week plus cDMARDs-treated patients responding similarly well at 1-year follow-up. ADACTA58 reported that significantly more TCZ plus PBO-treated patients achieved a good EULAR response than ADA plus PBO-treated patients at 6 months’ follow-up. ADACTA58 and ATTEST74 contributed EULAR data to the NMA, whereas RED-SEA114 did not report data within 22–30 weeks’ follow-up.
Trial name/study | Treatment arms for which data extraction performed | Assessment time point | Numbers analysed | % achieving no EULAR response | % achieving moderate EULAR response | % achieving good EULAR response | % EULAR responder (moderate/good) | In NMA? |
---|---|---|---|---|---|---|---|---|
ATTEST74 | PBO + MTX | Day 197 | 102 | 45.1 | 44.1 | 10.8 | 54.9 | Yes |
ABT + MTX | Day 197 | 150 | 23.3 | 56.7 | 20.0 | 76.7 | Yes | |
IFX + MTX | Day 197 | 156 | 34.0 | 42.9 | 23.1 | 66.0 | Yes | |
RED-SEA114 | ADA + cDMARDs | 52 weeks | 60 | 40.4 | 33.3 | 26.3 | 59.6 | No |
ETN50 + cDMARDs | 52 weeks | 60 | 51.5 | 16.7 | 31.7 | 48.4 | No | |
ADACTA58 | TCZ + PBO | 24 weeks | 163 | 22.1 | 26.4 | 51.5a | 77.9 | Yes |
ADA + PBO | 24 weeks | 162 | 45.1 | 35.1 | 19.8 | 54.9 | Yes |
Eleven other published trials reported EULAR data for biologics (Table 16). With the exception of CTZ, data were available for all interventions of interest. Two ADA trials reported EULAR data. A Phase II Dose-finding Study of Atacicept in Rheumatoid Arthritis (RA) (AUGUST II)76 reported a significantly better EULAR result for ADA plus MTX than for MTX plus PBO at 6 months. ADA monotherapy had a significantly higher percentage of patients achieving at least moderate EULAR response than a PBO arm. 122 Of four ETN trials, two compared ETN monotherapy with ETN combined with MTX. One of these studies59 found similar EULAR responses for the groups at 16 weeks, whereas the other140 reported significantly better results for combination therapy than for monotherapy at 6 months and 1 year. Latin American Rheumatoid Arthritis study (LARA)102 reported significantly better EULAR response for ETN (50 mg) once a week plus MTX than for MTX in combination with either SSZ or HCQ at 6 months. ETN plus MTX had a similar percentage of participants with good or moderate EULAR response to MTX plus DMARD (SSZ, HCQ or LEF) in the Asia-Pacific Study in Patients to be Treated With Etanercept or an Alternative Listed (APPEAL)67 trial at 16 weeks’ follow-up. GOL plus MTX was significantly better than MTX plus PBO in terms of EULAR response at both 14 and 24 weeks’ follow-up in the golimumab in active rheumatoid arthritis despite methotrexate therapy (GO-FORWARD)92 trial. Swedish pharmacotherapy (Swefot)119 reported IFX plus MTX having significantly better EULAR response than triple therapy with cDMARDs (SSZ + HCQ + MTX) at 1 year, with the difference between groups not significant at 6 months and 2 years. TCZ monotherapy was investigated in two of the three TCZ trials reporting EULAR data. TCZ monotherapy results were similar to TCZ in combination with MTX, in the ACTemra (tocilizumab) RAdiographic studY (ACT-RAY)57 trial at 6 months. TCZ monotherapy treatment had significantly better EULAR responses at 12 weeks compared with PBO. 106 The TOcilizumab in combination With traditional DMARD therapy (TOWARD)121 trial reported significantly better EULAR responses for TCZ in combination with stable cDMARDs than for PBO in combination with stable cDMARDs at 6 months. The following trials contributed EULAR data to the NMA: AUGUST II,76 Van De Putte et al. ,122 Japanese Efficacy and Safety of Etanercept on Active Rheumatoid Arthritis Despite Methotrexate Therapy (JESMR),140 LARA,102 GO-FORWARD,92 Swefot,119 ACT-RAY57 and TOWARD. 121 ADjuvant Oxaliplatin in REctal Cancer (ADORE)59 and APPEAL67 did not have data within 22–30 weeks.
(Academic-in-confidence information has been removed.)
Trial name/study | Treatment arms for which data extraction performed | Assessment time point | Numbers analysed | % achieving no EULAR response | % achieving moderate EULAR response | % achieving good EULAR response | % EULAR responder (moderate/good) | In NMA? |
---|---|---|---|---|---|---|---|---|
AUGUST II76 | MTX + PBO | 26 weeks | 76 | 41 | NR | NR | 59 | Yes |
ADA + MTX | 79 | 19 | NR | NR | 81a | Yes | ||
Van De Putte et al., 2004122 | PBO | 26 weeks | 110 | 73.6 | 22.8 | 3.6 | 26.4 | Yes |
ADA | 113 | 44.2 | 47.0 | 8.8 | 55.8 | Yes | ||
ADORE59,60 | ETN | 16 weeks | 156 | 20.0 | NR | NR | 80.0 | No |
ETN + MTX | 151 | 17.6 | NR | NR | 82.4 | No | ||
JESMR140 | ETN | 24 weeks | 69 | 29.0 | 37.7 | 33.3 | 71.0 | Yes |
ETN + MTX 6–8 mg/week | 73 | 4.1b | 43.8c | 52.1c | 95.9 | Yes | ||
ETN | 52 weeks | 69 | NR | NR | 33.3 | NR | No | |
ETN + MTX 6–8 mg/week | 73 | NR | NR | 52.1c | NR | No | ||
LARA102 | MTX + DMARD | 24 weeks | 142 | 35.2 | NR | 12 | 64.8 | Yes |
ETN50 + MTX | 279 | 8.2 | NR | 47c | 91.8c | Yes | ||
APPEAL67,68 | MTX + DMARD (SSZ, HCQ or LEF) | 16 weeks | 103 | 26.2 | NR | NR | 73.8 | No |
ETN + MTX | 197 | 12.2 | NR | NR | 87.8 | No | ||
GO-FORTH91 | PBO + MTX | 6 months | 84 | 51.2 | 35.7 | 13.1 | 48.8 | Yes |
GOL + MTX | 81 | 16.0 | 37.0 | 46.9 | 84.0 | Yes | ||
GO-FORWARD92 | PBO + MTX | 14 weeks | 133 | 55.6 | NR | NR | 44.4 | No |
GOL + MTX | 89 | 29.2 | NR | NR | 70.8c | No | ||
PBO + MTX | 24 weeks | 133 | 57.9 | NR | NR | 42.1 | Yes | |
GOL + MTX | 89 | 28.1 | NR | NR | 71.9c | Yes | ||
START118 | PBO + MTX | 5.5 months | 332 | 56 | NR | NR | 44 | Yes |
IFX + MTX | 333 | 25 | NR | NR | 75 | Yes | ||
Swefot119 | SSZ + HCQ + MTX | 23.8 weeks | 130 | NR | NR | 23.8 | NR | Yes |
IFX + MTX | 128 | NR | NR | 33.6 | NR | Yes | ||
SSZ + HCQ + MTX | 12 months after study inclusion [8–9 months (35–39 weeks) after randomisation] | 130 | 51 | NR | 25 | 49 | No | |
IFX + MTX | 128 | 40 | NR | 39a | 60 | No | ||
SSZ + HCQ + MTX | 24 months after study inclusion [20–21 months (87–91 weeks) after randomisation] | 130 | 50 | NR | 31 | 50 | No | |
IFX + MTX | 128 | 41 | NR | 38 | 59 | No | ||
ACT-RAY57 | TCZ + PBO | 24 weeks | 276 | 13.8 | 34.8 | 51.4 | 86.2 | Yes |
TCZ + MTX | 277 | 10.5 | 27.8 | 61.7 | 89.5 | Yes | ||
Nishimoto et al., 2004106 | PBO | 12 weeks | 53 | 81.1 | NR | 0 | 18.9 | No |
TCZ | 55 | 9.1 | NR | 18.2c | 90.9c | No | ||
SATORI116 | MTX | 6 months | 64 | 60.3 | 36.5 | 3.2 | 39.7 | Yes |
TCZ | 61 | 3.4 | 31.1 | 65.5 | 96.6 | Yes | ||
TOWARD121 | PBO + stable cDMARDs | 24 weeks | 413 | 62.5 | NR | NR | 37.5 | Yes |
TCZ + stable DMARDs | 803 | 20.3 | NR | NR | 79.7c | Yes | ||
TACIT141 (AiC) | Intensive DMARDs | (AiC information has been removed) | (AiC information has been removed) | (AiC information has been removed) | (AiC information has been removed) | (AiC information has been removed) | (AiC information has been removed) | Yes |
Grouped biologics | (AiC information has been removed) | (AiC information has been removed) | (AiC information has been removed) | (AiC information has been removed) | (AiC information has been removed) | (AiC information has been removed) | Yes |
Disease Activity Score 28 joints
One head-to-head biologics trial in MTX-naive patients reported DAS28 data100 (see Appendix 4, Table 346). At 24 weeks’ follow-up, Kume et al. 100 reported similar mean change from baseline in DAS28-ESR for ADA monotherapy and ETN monotherapy.
Thirteen other trials reported DAS28 mean change or remission data for MTX-naive patient trials, comprising five ADA trials,93,94,107–109 one ETN trial,81 one GOL trial90 and five IFX trials. 71,78,86,95,110 Across all interventions, where reported, mean DAS28 improved slightly in all treatment arms, including control cDMARD arms. Biologic treatment arms reported significantly higher percentage of patients meeting pre-defined DAS28 remission (usually < 2.6), or having significantly more improved DAS28 than baseline, than controls for ADA plus MTX than MTX plus PBO;94,109 ADA plus MTX plus steroid than MTX plus PBO than steroid;107 ETN plus MTX than MTX plus PBO;81 GOL plus MTX than MTX plus PBO at 6 months (not 1-year follow-up);90 IFX plus MTX than MTX plus PBO. 71,110 ADA monotherapy had similar DAS28 results to MTX plus PBO,109 as did IFX plus MTX to MTX plus methylprednisolone (MP). 86,95 Step-up therapy with initial ADA93 or IFX78 did not differ from control groups after 1 year or 6 months respectively. Results are shown in Appendix 4, Table 347.
Four head-to-head trials of cDMARD-experienced patients reported DAS28 results58,66,74,114 (see Appendix 4, Table 348). ABT, ADA, ETN (50 mg) once weekly, IFX and TCZ treatment arms all showed some improvement in DAS28. There were similar levels of DAS28 improvement for ABT plus MTX and IFX plus MTX (both of which were significantly more improved than MTX plus PBO),74 ABT and ADA monotherapies,66 and ADA and ETN (50 mg) once weekly both in combination with cDMARDs. 114 ADACTA58 reported significantly more improvement for TCZ monotherapy than for ADA monotherapy.
Twenty other trials reported DAS28 mean change or remission data for cDMARD-experienced patient trials (see Appendix 4, Table 349), comprising two ABT trials,62,72 one ADA trial,122 two CTZ trials,79,113 five ETN trials,67,96,102,112,140 three GOL trials,91,92,98 two IFX trials118,125 and five TCZ trials. 57,103,115,116,121 Across all interventions, where reported, mean DAS28 improved in all treatment arms, including control cDMARD arms. Biologic treatment arms reported higher percentages of patients meeting pre-defined DAS28 remission (usually < 2.6) than non-biologic control arms with one or two cDMARDs or baseline cDMARDs. There was a significantly higher percentage of patients meeting pre-defined DAS28 remission (usually < 2.6), or having significantly more improved DAS28 than baseline, than controls for ABT plus MTX than MTX plus PBO;62 ADA monotherapy than PBO;122 ETN (50 mg) once weekly plus MTX than MTX plus one other cDMARD;67,102 ETN (50 mg) once weekly plus MTX than MTX plus SSZ plus HCQ at 24 weeks (in an analysis of treatment completers only, although not after 48 weeks with the option to switch therapy);112 GOL plus MTX than MTX plus PBO at 6 months (not 1-year follow-up);91,92,98 IFX plus MTX than MTX plus PBO;118,125 TCZ plus MTX than TCZ monotherapy57 or than MTX plus PBO;103 TCZ monotherapy than cDMARDs,115 although not compared with MTX plus PBO; and116 TCZ plus DMARDs than DMARDs plus PBO. 121 ETN plus MTX performed significantly better than ETN monotherapy,140 although not at 16 weeks’ follow-up. 59
(Academic-in-confidence information has been removed.)
Health Assessment Questionnaire Disability Index
Ten trials reported HAQ-DI change from baseline (see Appendix 4, Table 350). These comprised a head-to-head trial,100 six ADA trials,77,93,94,107–109 two ETN trials81,87 and one GOL trial. 90 There were improvements in HAQ-DI for most treatments, interventions and controls, although there tended to be more improvement for biologics than control arms, although not in all cases. 87
Four head-to-head trials58,66,74,85 reported HAQ-DI change from baseline (see Appendix 4, Table 351). All trial arms improved HAQ-DI. ABT-treated patients achieved similar results to IFX74 and ADA. 66 TCZ monotherapy produced slightly more improvement than ADA monotherapy (significance testing not reported). 58 In a small trial (n = 32), ETN plus MTX produced slightly better HAQ-DI results than IFX plus MTX. 85
Twenty-eight other trials reported HAQ-DI change from baseline for cDMARD-experienced patients (see Appendix 4, Table 352), comprising two ABT trials,62,73 four ADA trials,69,80,84,122 two CTZ trials,79,113 11 ETN trials,59,67,88,96,101,102,104,112,123,124,140,145 two GOL trials,91,92 four IFX trials75,86,118,126 and two TCZ trials. 57,121 Generally, there was some improvement in HAQ-DI for all trial arms, with more improvement for biologics than control arms. (AiC information has been removed.)
Joint counts and assessment of inflammation markers (C-reactive protein and erythrocyte sedimentation rate)
The only head-to-head RCT in MTX-naive patients identified in this review100 did not report any follow-up or change data on joint counts or assessment of inflammation markers. A total of seven RCTs of biologic versus DMARD(s) or PBO reported follow-up or change data on joint counts or assessment of inflammation markers in MTX-naive patients (three for ADA,94,107,108 one for ETN,81 one for GOL90 and two for IFX110,120) (see Appendix 4, Table 364). Statistically significant differences in swollen joint count favouring biologic treatment over comparator were reported for ADA (one study94) and ETN (one study81). Statistically significant differences in tender joint count favouring biologic treatment over comparator were reported for ADA (two studies94,108) and GOL (one study90). Statistically significant differences in CRP response favouring biologic treatment over comparator were reported for ADA (one study108). Statistically significant differences in ESR response were not identified in any trials.
Four head-to-head RCTs reporting data on joint counts and/or assessment of inflammation markers in cDMARD-experienced patients were identified (see Appendix 4, Table 366). Similar improvements were made in swollen joint count, tender joint count and CRP level among patients in the s.c. ABT plus MTX and ADA plus MTX arms of the abatacept vs. adalimumab in biologic-naive RA patients with background MTX (AMPLE) trial. 144 Likewise, swollen joint count, tender joint count and CRP level were not significantly different between patients in the ADA plus cDMARDs and ETN plus cDMARDs arms of the RED-SEA trial. 114 The deFilippis trial85 reported no difference in percentage change between arms for swollen joint count and CRP level but reported significantly greater improvements in tender joint count in the ETN plus MTX arm relative to the IFX versus MTX arm. Finally, similar reductions in swollen joint count and tender joint count were reported for patients in the TCZ plus PBO ADA and ADA plus PBO TCZ arms in the double-dummy ADACTA trial. 58
Twenty RCTs of biologic versus DMARD(s) or PBO reported follow-up or change data on joint counts or assessment of inflammation markers in cDMARD-experienced patients (see Appendix 4, Table 365). Statistically significant differences in swollen joint count favouring biologic treatment over comparator were reported in eight trials [one ADA trial,80 four ETN trials,89,101,104,105,124 one GOL trial,92 one TCZ trial121 and (AiC information has been removed)]. Statistically significant differences in tender joint count favouring biologic treatment over comparator were reported in 11 trials [one ADA trial,80 four ETN trials,101,102,104,105,124 one GOL trial,92 three IFX trials,75,86,125 one TCZ trial121 and (AiC information has been removed)]. Statistically significant differences in CRP response favouring biologic treatment over comparator were reported in six trials (one ADA trial,80 four ETN trials89,101,104,105,124 and one TCZ trial121). Statistically significant differences in ESR response favouring biologic treatment over comparator were reported in seven trials [five ETN trials,59,60,67,68,104,105,124 one TCZ trial121 and (AiC information has been removed)].
Two trials compared biologic monotherapy with biologic combination therapy. A trial of ETN reported significant improvements in swollen joint count, tender joint count and ERS for ETN combined with MTX but not ETN monotherapy and the reverse for CRP,140 whereas a trial of TCZ plus oral PBO versus TCZ combined with MTX found no differences in joint counts or inflammation markers. 57
One trial of biologic and cDMARD combination therapy (ETN + MTX) versus biologic monotherapy140 reported significantly greater improvements in swollen joint count tender joint count and ESR in the combination therapy arm, but significantly greater improvements in CRP in the monotherapy arm. 97 Another trial of biologic and cDMARD combination therapy versus monotherapy (TCZ + MTX vs. TCZ + PBO)57 reported similar changes from baseline in swollen joint count and tender joint count.
Patient and physician global assessments of disease activity
No data were available for this outcome from the single identified head-to-head RCT in MTX-naive patients. 100 Four population 1 trials in MTX-naive patients contributed global assessment evidence (presented in Appendix 4, Table 356), of which two were for ADA,107,108 one for GOL90 and one for IFX. 148 Of these four trials, statistically significant improvements in global assessments of disease activity were reported for one trial favouring GOL plus MTX over PBO and MTX,90 and for one trial148 that favoured initial combination cDMARD therapy plus prednisone and initial combination cDMARD therapy plus IFX over sequential cDMARD monotherapy and step-up combination cDMARD therapy.
Patient and physical global assessment of disease activity data were reported in three head-to-head RCTs of cDMARD-experienced patients66,85,114 (see Appendix 4, Table 357). No statistically significant differences in treatment response were reported.
A total of 23 further RCTs evaluated global assessments of disease activity in four ADA trials,69,70,80,99,122 four ETN trials,89,102,104,105,124 one GOL trial92 and three IFX trials75,86,125 (see Appendix 4, Table 358).
Radiological progression/joint damage
Data were extracted from RCTs where absolute baseline and follow-up, mean change from baseline or proportion change from baseline in joint outcomes were available.
No joint damage/radiological progression data were identified from the single identified head-to-head population 1 trial. 100 Six trials of biologic interventions versus DMARD(s) or PBO in MTX-naive patients reported change in radiographic scores and/or radiographic non-progression (three ADA trials,93,108,109 two ETN trials81,139 and one IFX trial71). Joint outcomes were assessed using a range of radiographic scores,149 and magnetic resonance imaging. Data for radiographic scores are presented in Table 359 (see Appendix 4). Statistically significant results favouring intervention in the reduction of radiological progression were reported for two ADA trials,108,109 one ETN trial139 and one IFX trial. 71 Two trials (one each for ADA108,150 and GOL151) provided joint assessment data as measured by magnetic resonance imaging (both of which reported statistically significant findings favouring biologic treatment; see Appendix 4, Table 360).
One head-to-head trial66 (ADA vs. ABT) (see Appendix 4, Table 361) and eight trials of biologic interventions versus DMARD(s) or PBO in cDMARD-experienced patients reported change in radiographic scores and/or rates of radiographic non-progression (one for ATB,61,62 one for ADA,84 two for ETN,102,111 one for GOL,91 two for IFX146,147 and two for TCZ115,152) (see Appendix 4, Table 362). Statistically significant results indicating reduced radiological progression were reported for one ABT trial,61,62 one ADA trial,84 one ETN trial,102 one GOL trial,91 both IFX trials146,147 and one TCZ trial. 115 Joint outcome data as assessed by magnetic resonance imaging were presented in three trials (one each for ABT,72 GOL153 and IFX120) (see Appendix 4, Table 363), with statistically significant benefits to joint outcomes reported for the GOL trial. 153
Two trials compared biologic monotherapy with biologic combination therapy. A trial of ETN reported significant improvements in erosion score for ETN combined with MTX but not ETN monotherapy,140 whereas a trial of TCZ plus oral PBO versus TCZ combined with MTX found no differences in radiographic progression. 57
Pain
Six trials reported pain visual analogue scale (VAS) score change from baseline (see Appendix 4, Table 364). These comprised three ADA trials,107–109 one ETN trial,81 one GOL trial90 and one IFX trial. 78 There were reductions in pain VAS for most treatments and there were significant benefits for all four biologics compared with controls.
Two head-to-head trials66,85 reported pain VAS change from baseline (see Appendix 4, Table 365). All trial arms reduced pain VAS score. No significant differences were reported between groups.
Twenty-seven other trials reported pain VAS change from baseline for cDMARD-experienced patients (see Appendix 4, Table 366), comprising two ABT trials,62,73 five ADA trials,69,80,84,99,122 one CTZ trial,79 nine ETN trials,59,67,88,101,102,104,112,124,140 one GOL trial,92 two IFX trials75,118 and one TCZ trial. 57 Generally, there was some reduction in pain VAS for all trial arms. ABT had similar reductions compared with control groups. 62,73 There was at least one trial reporting significantly more pain VAS reduction than control for each of ADA, CTZ, ETN, GOL and IFX. In the Rheumatoid Arthritis Comparison of Active Therapies in Methotrexate Suboptimal Responders study (RACAT)112 ETN (50 mg) once weekly plus MTX had similar results to MTX plus SSZ plus HCQ. In the ACT-RAY trial57 TCZ monotherapy had similar results to TCZ plus MTX.
Fatigue
The only head-to-head RCT in MTX-naive patients identified in this review100 did not report any follow-up or change data on fatigue. A total of three RCTs of biologic versus DMARD(s) or PBO reported follow-up or change data on fatigue in MTX-naive patients (two for ADA154,155 and one for ETN83) (see Appendix 4, Tables 377 and 378). Statistically significant differences favouring biologic treatment over comparator were reported for VAS score (one ETN trial83) and Functional Assessment of Chronic Illness Therapy – Fatigue (FACIT-F) score (one ADA trial154). One further ADA trial reported significant differences between ADA and MTX arms at follow-up in a mixed-model repeated measures analysis, but the values appear to be similar. 155
Two head-to-head RCTs reporting data on fatigue in cDMARD-experienced patients were identified (see Appendix 4, Tables 369 and 370). 58,144 Similar improvements were made on fatigue VAS score among patients in the s.c. ABT plus MTX and ADA plus MTX arms of the AMPLE trial144 and on FACIT-F score among patients in the TCZ plus PBO ADA and ADA plus PBO TCZ arms in the ADACTA trial. 58
Six RCTs of biologic versus DMARD(s) or PBO reported follow-up or change data on fatigue data in cDMARD-experienced patients (see Appendix 4, Tables 371 and 372). 63,68–70,79,92,121 A statistically significant difference in VAS fatigue score swollen joint count favouring biologic treatment over comparator was reported in one ABT trial. 63 Statistically significant differences in FACIT-F score favouring biologic treatment over comparator were reported in four trials (one ADA trial,69,70 one ETN trial,68 one GOL trial92 and one TCZ trial121). Mean (SD) change from baseline in the Fatigue Assessment Scale has been reported for the efficacy and safety of CERTolizumab pegol After INcomplete response to DMARDS in RA patients with low to moderate disease activity (CERTAIN) trial79 of 0.1 (SD 2.12) in the PBO arm and –1.2 (SD 2.24) in the CTZ arm at week 24 (ClinicalTrials.gov, NCT00674362) and (AiC information has been removed). 156
Health-related quality of life
The only head-to-head RCT in MTX-naive patients identified in this review100 did not report any follow-up or change data on health-related quality of life. A total of nine RCTs of biologic versus DMARD(s) or PBO reported follow-up or change data on health-related quality of life in MTX-naive patients (four for ADA,77,94,107,155 two for ETN83,157 and three for IFX71,72,110,158) (see Appendix 4, Tables 383–388). Statistically significant differences in Short Form questionnaire-36 items (SF-36) components and domains favouring biologic treatment over comparator were reported for ADA (one study154), ETN (two studies83,157) and IFX (one study78). One further ADA trial reported significant differences between ADA and MTX arms at follow-up in a mixed-model repeated measures analysis, but the values appear to be similar. 155 One study reported a statistically significant difference on the Short Form questionnaire-12 items physical component score for ADA. 107 Statistically significant differences in Rheumatoid Arthritis Quality of Life (RAQoL) score favouring biologic treatment over comparator were reported for ADA (one study77) and IFX (one study110). One further ADA trial reported significant differences on Short Form questionnaire-6 Dimensions (SF-6D) score between ADA and MTX arms at follow-up in a mixed-model repeated measures analysis, but the values appear similar. 155 One study reported a statistically significant difference on European Quality of Life-5 Dimensions (EQ-5D) score for ADA. 107
Three head-to-head RCTs reporting data on health-related quality of life in cDMARD-experienced patients were identified (see Appendix 4, Tables 389–391). Similar improvements were made on SF-36 components and domains scores among patients in the s.c. ABT plus MTX and ADA plus MTX arms of the AMPLE trial144 and among patients in the ABT plus MTX, IFX plus MTX and MTX plus PBO arms of the ATTEST trial. 74 Significantly greater improvements were reported on SF-36 mental component score among patients in the TCZ ( + PBO ADA) arm than in the ADA ( + PBO TCZ) arm in the ADACTA trial. 58 Similar improvements were made on EQ-5D score among patients in the ADA and ETN arms of the RED-SEA trial. 114
Nine RCTs of biologic versus DMARD(s) or PBO reported follow-up or change data on health-related quality of life data in cDMARD-experienced patients (see Appendix 4, Tables 392–397). Statistically significant differences in SF-36 components and domains scores favouring biologic treatment over comparator were reported in six trials (one ABT trial,61,62 one ETN trial,68 one GOL trial,92 two IFX trials86,159 and one TCZ trial121). (AiC information has been removed.) Statistically significant differences in EQ-5D domain scores favouring biologic treatment over comparator were reported in one ETN trial59 and a further ETN trial reported a statistically significant improvement in EuroQol VAS score. 89
Extra-articular manifestations of disease
No included RCTs specifically evaluated the impact of biologic interventions on extra-articular manifestations of RA.
Adverse effects of treatment
Data were extracted relating to discontinuations due to AEs, number of patients experiencing one or more AEs and number of patients experiencing one or more serious AE. Details are presented in Appendix 4, Tables 398–400. Specific AEs of important note as highlighted in the FDA prescribing information for each intervention were extracted from RCTs and associated LTEs of individual included RCTs and tabulated (see Appendix 4, Tables 401–403). These key safety issues identified across the range of interventions included the number of patients experiencing one or more infections, number of patients experiencing one or more serious infections (with pneumonia and reactivation of tuberculosis noted as important safety issues), number of patients experiencing one or more malignancy, and the occurrences of infusion-related or injection-site reactions (as appropriate to the mode of administration for each intervention).
Mortality
Details of number of deaths, cause(s) of death and judgement by study team/adjudicator of whether or not death was potentially attributable to study drug were extracted and have been tabulated (see Appendix 4, Tables 403 and 404).
Additional evidence (trial data not eligible for full systematic review but included to inform network meta-analysis sensitivity analyses for populations 2 and 3)
Study and population characteristics for the trials ineligible for the full systematic review but provided as additional evidence to inform sensitivity analyses are presented in Table 344 (see Appendix 4). Two RCTs137,138 in which TOF was evaluated were included as evidence to supplement the network.
The ACR and EULAR responses in populations 2 and 3 RCTs used in the sensitivity analyses are presented in Tables 17 and 18 respectively.
Trial name/study | Treatment arms for which data extraction performed | Assessment time point | Numbers analysed | % achieving ACR20 response | % achieving ACR50 response | % achieving ACR70 response | Data used in NMA? |
---|---|---|---|---|---|---|---|
ACQUIRE127 | ABT s.c. + PBO + MTX | 26 weeks | 736 | 74.8 | 50.2 | 25.8 | Yes (SAs) |
ABT i.v. + PBO + MTX | 26 weeks | 721 | 74.3 | 48.6 | 24.2 | ||
NCT00254293131 | PBO + MTX | 25.7 weeks | 119 | 35.3 | 11.8 | 1.7 | Yes (SAs) |
ABT i.v. + MTX | 25.7 weeks | 115 | 60a | 36.5a | 16.5a | ||
ORAL STANDARD133 | PBO + MTX | 26 weeks | 106 | 28.3 | 12 | 2 | Yes (SAs) |
TOF5 + MTX | 26 weeks | 196 | 51.5 | 36 | 20 | ||
TOF10 + MTX | 26 weeks | 196 | 52.6 | 33 | 22.5 | ||
ADA + MTX | 26 weeks | 199 | 47.2 | 27 | 9.5 | ||
Yamamoto et al., 2011129 | PBO + MTX | 24 weeks | 77 | 24.7 | 16.9 | 1.3 | Yes (SAs) |
CTZ + MTX | 24 weeks | 82 | 73.2b | 54.9b | 29.3b | ||
RA0025134 | PBO + MTX | 24 weeks | 40 | 27.5 | 20 | 2.5 | Yes (SAs) |
CTZ + MTX | 24 weeks | 81 | 66.7b | 43.2a | 17.3a | ||
RAPID1135 | PBO + MTX | 24 weeks | 199 | 13.6 | 7.6 | 3 | Yes (SAs) |
CTZ + MTX | 24 weeks | 393 | 58.8b | 37.1b | 21.4b | ||
RAPID2136 | PBO + MTX | 24 weeks | 127 | 8.7 | 3.1 | 0.8 | Yes (SAs) |
CTZ + MTX | 24 weeks | 246 | 57.3b | 32.5b | 15.9a (comparison of ORs from logistic regressions) | ||
TEAR53 | MTX monotherapy | 24 weeks | 379 | 39.39 | 19 | 3.43 | Yes (SAs) |
MTX + SSZ + HCQ | 24 weeks | 132 | 55.32 | 31.14 | 8.52 | ||
ETN50 + MTX | 24 weeks | 244 | 55.7 | 32.3 | 12.04 | ||
TEMPO54 | MTX monotherapy | 24 weeks | 228 | 74.18 | 41.31 | 15.9 | Yes (SAs) |
ETN monotherapy | 24 weeks | 223 | 71.58 | 41.31 | 17.98 | ||
ETN + MTX | 24 weeks | 231 | 82.53 | 60.09 | 36.65 | ||
LITHE152 | PBO + MTX | 24 weeks | 393 | 27 | 10 | 2 | Yes (SAs) |
TCZ + MTX | 24 weeks | 398 | 56b | 32b | 13b | ||
OPTION132 | PBO + MTX | 24 weeks | 204 | 26 | 11 | 2 | Yes (SAs) |
TCZ + MTX | 24 weeks | 205 | 59b | 44b | 22b | ||
AMBITION128 | MTX (MTX-experienced subgroup) | 24 weeks | 88 | 47.7 | 30.7 | 15.9 | Yes (SAs) |
TCZ (MTX-experienced subgroup) | 24 weeks | 89 | 71.9a | 40.4 | 28.1 | ||
van der Heijde et al., 2013138 | PBO + MTX | 26 weeks | 160 | 25.3 | 8.4 | 1.3 | Yes (SAs) |
TOF5 + MTX | 26 weeks | 321 | 51.5b (added vs. PBO + MTX) | 32.4b (added vs. PBO + MTX) | 14.6b (added vs. PBO + MTX) | ||
TOF10 + MTX | 26 weeks | 316 | 61.8b (added vs. PBO + MTX) | 43.7b (added vs. PBO + MTX) | 22.3b (added vs. PBO + MTX) | ||
Kremer et al., 2012137 | PBO + MTX | 24 weeks | 69 | 24.62 | 23.08 | 19.87 | Yes (SAs) |
TOF5 + MTX | 24 weeks | 71 | 47.44 | 33.33 | 19.23a (added vs. PBO + MTX) | ||
TOF10 + MTX | 24 weeks | 74 | 54.49a (added vs. PBO + MTX) | 34.62 | 16.67a (added vs. PBO + MTX) |
Trial name/study | Treatment arms for which data extraction performed | Assessment time point | Numbers analysed | % achieving no EULAR response | % achieving moderate EULAR response | % achieving good EULAR response | % EULAR responder (moderate/good) | In NMA? |
---|---|---|---|---|---|---|---|---|
JRAPID129 | PBO + MTX | 24 weeks | 77 | 70.1 | NR | NR | 29.9 | Yes (SAs) |
Yamamoto et al., 2011129 | CTZ + MTX | 24 weeks | 82 | 14.6 | NR | NR | 85.4 | Yes (SAs) |
RAPID1135 | PBO + MTX | 24 weeks | 199 | 72.9 | NR | NR | (AiC information has been removed) | Yes (SAs) |
RAPID1135 (AiC information has been removed) |
CTZ + MTX | 24 weeks | 393 | 19.1 | NR | NR | (AiC information has been removed) | Yes (SAs) |
OPTION132 | PBO + MTX | 24 weeks | 205 | 64.9 | 32.2 | 2.9 | 28.8 | Yes (SAs) |
TCZ + MTX | 24 weeks | 204 | 20.6 | 41.2a | 38.2b | 79.4 | Yes (SAs) |
Network meta-analysis results
For ease of interpretation, a summary of the data used in the NMA is provided (Tables 19–22). As described earlier a number of sensitivity analyses were undertaken to allow the impact of further information, albeit subject to potential biases, including a small proportion of patients with prior bDMARD use, and including studies in which the patients (for populations 2 and 3) have low background MTX use and may not be truly MTX failures. The RCTs have been grouped into those that fit within the Assessment Group base case and those that have prior bDMARD use and/or low background MTX use.
Trial name/study | Intervention | Mean disease duration (weeks) | Intervention 1 (patients, n) | Intervention 2 (patients, n) | Intervention 3 (patients, n) | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | No response | Moderate EULAR | Good EULAR | Total population | No response | Moderate EULAR | Good EULAR | Total population | No response | Moderate EULAR | Good EULAR | Total population | ||
Base case: full data reported | ||||||||||||||||
ACT-RAY57 | TCZ + MTX | TCZ | 676 | 29 | 77 | 171 | 277 | 38 | 96 | 142 | 276 | |||||
ADACTA58 | ADA | TCZ | 354 | 73 | 57 | 32 | 162 | 36 | 43 | 84 | 163 | |||||
ATTEST74 | cDMARD | ABT i.v. + MTX | IFX + MTX | 405 | 46 | 45 | 11 | 102 | 35 | 85 | 30 | 150 | 53 | 67 | 36 | 156 |
CERTAIN79 | cDMARD | CTZ + MTX | 239 | 42 | 16 | 11 | 69 | 18 | 32 | 29 | 79 | |||||
GO-FORTH91 | cDMARD | GOL + MTX | 455 | 43 | 30 | 11 | 84 | 13 | 30 | 38 | 81 | |||||
JESMR140 | ETN + MTX | ETN | 485 | 3 | 32 | 38 | 73 | 20 | 26 | 23 | 69 | |||||
LARA102 | Intensive cDMARD | ETN + MTX | 430 | 50 | 75 | 17 | 142 | 23 | 125 | 131 | 279 | |||||
SATORI116 | cDMARD | TCZ | 447 | 39 | 23 | 2 | 64 | 2 | 19 | 40 | 61 | |||||
TACIT141 | Intensive cDMARD | Grouped biologicsa + MTX | AiC information has been removed | AiC information has been removed | AiC information has been removed | AiC information has been removed | AiC information has been removed | AiC information has been removed | AiC information has been removed | AiC information has been removed | AiC information has been removed | |||||
Van De Putte et al., 2004122 | ADA | PBO | 577 | 50 | 53 | 10 | 113 | 81 | 25 | 4 | 110 | |||||
Base case: no response and response (i.e. moderate and good combined) reported | ||||||||||||||||
AUGUST II76 | cDMARD | ADA + MTX | 447 | 31 | 76 | 15 | 79 | |||||||||
GO-FORWARD92 | cDMARD | GOL + MTX | 421 | 77 | 133 | 25 | 89 | |||||||||
START118 | cDMARD | IFX + MTX | 186 | 332 | 83 | 333 | ||||||||||
TOWARD121 | cDMARD | TCZ + MTX | 510 | 258 | 413 | 163 | 803 | |||||||||
Base case: good and not good (i.e. moderate and no response combined) reported | ||||||||||||||||
Swefot119 | Intensive cDMARD | IFX + MTX | 27 | 31 | 130 | 43 | 128 | |||||||||
Sensitivity analyses: prior bDMARD use for some patients – full data reported | ||||||||||||||||
OPTION132 | cDMARD | TCZ + MTX | 398 | 133 | 66 | 6 | 205 | 42 | 84 | 78 | 204 | |||||
Sensitivity analyses: prior biologics – no response and response (i.e. moderate and good combined) reported | ||||||||||||||||
RAPID1135 | cDMARD | CTZ + MTX | 319 | 145 | 54 | 199 | 75 | 318 | 393 | |||||||
Yamamoto et al., 2011129 | cDMARD | CTZ + MTX | 296 | 54 | 23 | 77 | 12 | 70 | 82 |
Trial name/study | Intervention | Mean disease duration (weeks) | Intervention 1 (patients, n) | Intervention 2 (patients, n) | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | No response | ACR20 response | ACR50 response | ACR70 response | Total population | No response | ACR20 response | ACR50 response | ACR70 response | Total population | ||
Base case: full data reported | |||||||||||||||
CREATE IIb96 | cDMARD | ETN + MTX | 419 | 44 | 10 | 8 | 3 | 65 | 22 | 12 | 15 | 15 | 64 | ||
ACT-RAY57 | TCZ + MTX | TCZ | 676 | 79 | 72 | 58 | 68 | 277 | 82 | 83 | 41 | 70 | 276 | ||
ADACTA58 | ADA | TCZ | 354 | 82 | 35 | 16 | 29 | 162 | 57 | 29 | 24 | 53 | 163 | ||
AIM61 | cDMARD | ABT i.v. + MTX | 449 | 132 | 50 | 23 | 14 | 219 | 139 | 121 | 87 | 86 | 433 | ||
AMPLE144 | ADA + MTX | ABT s.c. + MTX | 94 | 117 | 72 | 65 | 74 | 328 | 108 | 65 | 68 | 77 | 318 | ||
ARMADA69 | cDMARD | ADA + MTX | 607 | 53 | 4 | 2 | 3 | 62 | 22 | 8 | 19 | 18 | 67 | ||
ATTEST74 | cDMARD | ABT i.v. + MTX | IFX + MTX | 405 | 64 | 24 | 12 | 10 | 110 | 52 | 41 | 31 | 32 | 156 | |
ATTRACT75 | cDMARD | IFX + MTX | NR | 67 | 13 | 4 | 0 | 84 | 42 | 19 | 16 | 7 | 83 | ||
AUGUST II76 | cDMARD | ADA + MTX | 447 | 40 | 24 | 8 | 4 | 76 | 23 | 26 | 16 | 14 | 79 | ||
CERTAIN79 | cDMARD | CTZ + MTX | 239 | 83 | 8 | 4 | 3 | 98 | 61 | 15 | 11 | 9 | 96 | ||
CHANGE80 | ADA | PBO | 477 | 51 | 18 | 11 | 11 | 91 | 75 | 7 | 4 | 1 | 87 | ||
deFilippis et al., 200685 | ETN + MTX | IFX + MTX | 7 | 5 | 3 | 1 | 16 | 7 | 4 | 4 | 1 | 16 | |||
DE01980 | cDMARD | ADA + MTX | 569 | 141 | 40 | 14 | 5 | 200 | 76 | 50 | 38 | 43 | 207 | ||
ETN study 30989 | cDMARD | ETN + MTX | ETN | 341 | 36 | 7 | 6 | 1 | 50 | 27 | 22 | 27 | 25 | 101 | |
GO-FORTH91 | cDMARD | GOL + MTX | 455 | 59 | 16 | 8 | 5 | 88 | 25 | 25 | 13 | 23 | 86 | ||
GO-FORWARD92 | cDMARD | GOL + MTX | 421 | 96 | 19 | 11 | 7 | 133 | 36 | 20 | 15 | 18 | 89 | ||
JESMR140 | ETN + MTX | ETN | 485 | 7 | 19 | 19 | 28 | 73 | 25 | 11 | 15 | 18 | 69 | ||
Kim et al., 200799 | cDMARD | ADA + MTX | 356 | 40 | 14 | 4 | 5 | 63 | 25 | 12 | 14 | 14 | 65 | ||
LARA102 | Intensive cDMARD | ETN + MTX | 430 | 71 | 38 | 17 | 16 | 142 | 47 | 59 | 76 | 97 | 279 | ||
Mathias et al., 2000105 | ETN | PBO | 598 | 31 | 15 | 20 | 12 | 78 | 71 | 5 | 3 | 1 | 80 | ||
O’Dell 2013112 | Intensive cDMARD | ETN + MTX | 271 | 70 | 48 | 33 | 8 | 159 | 73 | 32 | 32 | 26 | 163 | ||
SAMURAI115 | cDMARD | TCZ | 119 | 89 | 30 | 16 | 10 | 145 | 28 | 39 | 37 | 53 | 157 | ||
SATORI116 | cDMARD | TCZ | 447 | 48 | 5 | 4 | 7 | 64 | 12 | 16 | 13 | 20 | 61 | ||
STAR117 | cDMARD | ADA + MTX | 541 | 207 | 75 | 25 | 11 | 318 | 150 | 76 | 45 | 47 | 318 | ||
START118 | cDMARD | IFX | NR | 271 | 57 | 18 | 17 | 363 | 152 | 93 | 65 | 50 | 360 | ||
TOWARD121 | cDMARD | TCZ | 510 | 312 | 64 | 25 | 12 | 413 | 315 | 186 | 137 | 165 | 803 | ||
Van De Putte et al., 2004122 | ADA | PBO | 577 | 61 | 27 | 11 | 14 | 113 | 89 | 12 | 7 | 2 | 110 | ||
Weinblatt et al., 1999124 | cDMARD | ETN + MTX | 676 | 22 | 7 | 1 | 0 | 30 | 17 | 19 | 14 | 9 | 59 | ||
Sensitivity analyses: prior bDMARD use for some patients – full data reported | |||||||||||||||
ACQUIRE127 | ABT i.v. + MTX | ABT s.c. + MTX | 398 | 186 | 185 | 176 | 174 | 721 | 185 | 181 | 180 | 190 | 736 | ||
Kremer et al., 201063 | cDMARD | TOF5 + MTX | TOF10 + MTX | 444 | 52 | 1 | 2 | 14 | 69 | 37 | 10 | 10 | 14 | 71 | |
LITHE130 | cDMARD | TCZ + MTX | 476 | 287 | 67 | 31 | 8 | 393 | 174 | 96 | 76 | 52 | 398 | ||
131 | cDMARD | ABT i.v. + MTX | 483 | 77 | 28 | 12 | 2 | 119 | 46 | 27 | 23 | 19 | 115 | ||
OPTION132 | cDMARD | TCZ + MTX | 398 | 151 | 31 | 18 | 4 | 204 | 84 | 31 | 45 | 45 | 205 | ||
RA0025134 | cDMARD | CTZ + MTX | 303 | 29 | 3 | 7 | 1 | 40 | 27 | 19 | 21 | 14 | 81 | ||
RAPID1135 | cDMARD | CTZ + MTX | 319 | 171 | 12 | 9 | 6 | 199 | 162 | 85 | 62 | 84 | 393 | ||
RAPID2136 | cDMARD | CTZ + MTX | 308 | 116 | 7 | 3 | 1 | 127 | 105 | 61 | 41 | 39 | 246 | ||
van der Heijde et al., 2013138 | cDMARD | TOF5 + MTX | TOF10 + MTX | 467 | 120 | 27 | 11 | 2 | 160 | 156 | 61 | 57 | 47 | 321 | |
Yamamoto et al., 2011129 | cDMARD | CTZ + MTX | 296 | 58 | 6 | 12 | 1 | 77 | 22 | 15 | 21 | 24 | 82 | ||
Sensitivity analyses: prior biologics – no ACR50 or ACR70 reported | |||||||||||||||
ORAL STANDARD133 | cDMARD | ADA + MTX | TOF5 + MTX | TOF10 + MTX | 402 | 76 | 30 | 106 | 105 | 94 | N/A | N/A | 199 | ||
Sensitivity analyses: prior biologics – full data reported and low background MTX use | |||||||||||||||
AMBITION55 | cDMARD | TCZ | 330 | 46 | 15 | 13 | 14 | 88 | 25 | 28 | 11 | 25 | 89 | ||
Sensitivity analyses: low background MTX use | |||||||||||||||
TEAR53 | cDMARD | Intensive cDMARD | ETN + MTX | 18 | 230 | 77 | 59 | 13 | 379 | 59 | 32 | 30 | 11 | 132 | |
TEMPO54 | cDMARD | ETN + MTX | ETN | 345 | 59 | 75 | 58 | 36 | 228 | 40 | 52 | 54 | 85 | 231 | |
Trial name | Intervention | Intervention 3 (patients, n) | Intervention 4 (patients, n) | ||||||||||||
3 | 4 | No response | ACR20 response | ACR50 response | ACR70 response | Total population | No response | ACR20 response | ACR50 response | ACR70 response | Total population | ||||
Base case: full data reported | |||||||||||||||
ATTEST74 | IFX + MTX | 67 | 37 | 21 | 40 | 165 | |||||||||
ETN study 30989 | ETN | 27 | 28 | 26 | 22 | 103 | |||||||||
Sensitivity analyses: prior bDMARD use for some patients – full data reported | |||||||||||||||
Kremer et al., 201063 | TOF10 | 34 | 15 | 13 | 12 | 74 | |||||||||
van der Heijde et al., 2013138 | TOF10 | 121 | 57 | 68 | 70 | 316 | |||||||||
Sensitivity analyses: prior biologics – no ACR50 or ACR70 reported | |||||||||||||||
ORAL STANDARD133 | TOF5 | TOF10 | 95 | 101 | N/A | N/A | 196 | 93 | 103 | N/A | N/A | 196 | |||
Sensitivity analyses: low background MTX use | |||||||||||||||
TEAR53 | ETN + MTX | 109 | 57 | 49 | 29 | 244 | |||||||||
TEMPO54 | ETN | 63 | 68 | 52 | 40 | 223 |
Tables 21 and 22 provide data for population 1 using EULAR and ACR criteria respectively. Only one RCT that reported EULAR data met the criteria for inclusion.
Trial name | Intervention | Mean disease duration (weeks) | Intervention 1 (patients, n) | Intervention 2 (patients, n) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | No response | Moderate EULAR | Good EULAR | Total population | No response | Moderate EULAR | Good EULAR | Total population | ||
Base case: no response and response (i.e. moderate and good combined) reported | ||||||||||||
GO-BEFORE90 | cDMARD | GOL + MTX | 166 | 62 | 160 | 43 | 159 |
Trial name/study | Intervention | Mean disease duration (weeks) | Intervention 1 (patients, n) | Intervention 2 (patients, n) | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | No response | ACR20 response | ACR50 response | ACR70 response | Total population | No response | ACR20 response | ACR50 response | ACR70 response | Total population | ||
Base case: full data reported | |||||||||||||||
COMET81 | cDMARD | ETN + MTX | 109 | 57 | 55 | 47 | 268 | 50 | 57 | 64 | 103 | 274 | |||
Durez et al., 2007120 | cDMARD | IFX + MTX | 21 | 10 | 3 | 1 | 0 | 14 | 2 | 3 | 5 | 5 | 15 | ||
ERA139 | cDMARD | ETN | 52 | 90 | 58 | 38 | 31 | 217 | 65 | 55 | 42 | 45 | 207 | ||
GO-BEFORE90 | cDMARD | GOL + MTX | 166 | 81 | 32 | 22 | 25 | 160 | 61 | 34 | 26 | 38 | 159 | ||
HIT HARD94 | cDMARD | ADA + MTX | 7 | 27 | 16 | 19 | 23 | 85 | 20 | 13 | 13 | 41 | 87 | ||
OPTIMA108 | cDMARD | ADA + MTX | 18 | 222 | 119 | 88 | 88 | 517 | 153 | 93 | 88 | 181 | 515 | ||
PREMIER109 | cDMARD | ADA + MTX | ADA | 38 | 99 | 54 | 47 | 57 | 257 | 84 | 27 | 43 | 114 | 268 | |
Base case: data reported only for ACR20 and ACR70 | |||||||||||||||
BeST78 | cDMARD | IFX + MTX | Intensive cDMARD | Step-up intensive cDMARDa | NR | 63 | 43 | 20 | 126 | 33 | 55 | 40 | 128 | ||
Sensitivity analyses: low background MTX use | |||||||||||||||
TEAR53 | cDMARD | Intensive cDMARD | ETN + MTX | 18 | 230 | 77 | 59 | 13 | 379 | 59 | 32 | 30 | 11 | 132 | |
TEMPO54 | cDMARD | ETN + MTX | ETN | 345 | 59 | 75 | 58 | 36 | 228 | 40 | 52 | 54 | 85 | 231 | |
Trial name | Intervention | Intervention 3 (patients, n) | Intervention 4 (patients, n) | ||||||||||||
3 | 4 | No response | ACR20 response | ACR50 response | ACR70 response | Total population | No response | ACR20 response | ACR50 response | ACR70 response | Total population | ||||
Base case: full data reported | |||||||||||||||
PREMIER109 | ADA | 128 | 50 | 42 | 54 | 274 | |||||||||
Base case: data reported only for ACR20 and ACR70 | |||||||||||||||
BeST78 | Intensive CDMARD | Step-up intensive cDMARDa | 39 | 59 | 35 | 133 | 48 | 59 | 14 | 121 | |||||
Sensitivity analyses: low background MTX use | |||||||||||||||
TEAR53 | ETN + MTX | 109 | 57 | 49 | 29 | 244 | |||||||||
TEMPO54 | ETN | 63 | 68 | 52 | 40 | 223 |
Additionally, the trials with EULAR data have been further subdivided into whether data were reported for all three categories or whether these were aggregated differently, for example only values for response or no response was provided. Data from the tumour necrosis factor inhibitors against combination intensive therapy (TACIT) study141 were provided as AiC.
Tables 19 and 20 provide data for populations 2 and 3 using EULAR and ACR criteria respectively.
In all tables the data have been apportioned so that these are mutually exclusive (i.e. that ACR20 now refers to patients who made an ACR20 response but not an ACR50 response). Typically, the RCTs would include patients with an ACR50 or ACR70 response within the ACR20 category, with the sum of the ACR responses being larger than the total number within the trial arm.
Population 1 (methotrexate naive)
American College of Rheumatology: main trials
A NMA was used to compare the effects of ADA (with and without MTX), ETN (with and without MTX), IFX plus MTX, GOL plus MTX, intensive cDMARDs and step-up intensive cDMARDs relative to cDMARDs on ACR response.
Data were available from eight studies comparing two, three or four interventions. 78,81,86,87,90,94,108,109
Figure 4 presents the network of evidence and Table 23 presents the frequency with which each pair of treatments was compared. There are eight treatment effects to estimate from eight studies. 78,81,86,87,90,94,108,109
Intervention | cDMARDs | ADA + MTX | ADA | ETN + MTX | ETN | IFX + MTX | GOL + MTX | Intensive cDMARDs | Step-up intensive cDMARDs |
---|---|---|---|---|---|---|---|---|---|
cDMARDs | – | 3 | 1 | 1 | 1 | 2 | 1 | 1 | 1 |
ADA + MTX | – | – | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
ADA | – | – | – | 0 | 0 | 0 | 0 | 0 | 0 |
ETN + MTX | – | – | – | – | 0 | 0 | 0 | 0 | 0 |
ETN | – | – | – | – | – | 0 | 0 | 0 | 0 |
IFX + MTX | – | – | – | – | – | – | 0 | 1 | 1 |
GOL + MTX | – | – | – | – | – | – | – | 0 | 0 |
Intensive cDMARDs | – | – | – | – | – | – | – | – | 1 |
Step-up intensive cDMARDs | – | – | – | – | – | – | – | – | – |
The probit transformation provides a transformation of data that can only take values between zero and 1 to values that cover the whole real line (i.e. to values between ± ∞). It is used to transform parameters that represent probabilities to a transformed parameter on the real line; treatment effects estimated on the real line usually have better statistical properties than estimates on a restricted scale. The transformation makes use of the standard normal distribution, which has mean zero and variance 1. Parameters representing probabilities can be thought of as being the area under the standard normal distribution from –∞ to some value that represents the transformed value on the probit scale. In the case of EULAR and ACR, parameters represent the probabilities of being in one of several ordered categories. The statistical model includes parameters representing the baseline response (i.e. ‘no response’) for the control arm in each study; a cut-off representing the distance on the standard normal scale between the category boundaries; treatment effect representing the number of SDs on the standard normal scale. Large negative treatment effects represent positive treatment effects (i.e. a smaller proportion of patients in the lower categories).
Figure 5 presents the effects of each intervention relative to cDMARDs on the probit scale, and Figure 6 and Table 24 present the probabilities of treatment rankings. Treatment rankings should be interpreted as in the following example: for cDMARDs there is a 19.6% probability that it is the seventh most efficacious treatment, a 64.8% probability that is the eighth most efficacious treatment and an 11.5% probability that it is the least effective (i.e. ninth) treatment.
Intervention | Rank (mean) | Rank | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ||
cDMARDs | 7.8 | 0.000 | 0.000 | 0.000 | 0.001 | 0.006 | 0.034 | 0.196 | 0.648 | 0.115 |
ADA + MTX | 4.2 | 0.013 | 0.057 | 0.180 | 0.378 | 0.234 | 0.101 | 0.031 | 0.005 | 0.001 |
ADA | 8.5 | 0.001 | 0.001 | 0.004 | 0.007 | 0.013 | 0.029 | 0.066 | 0.135 | 0.744 |
ETN + MTX | 2.6 | 0.228 | 0.329 | 0.242 | 0.091 | 0.056 | 0.030 | 0.014 | 0.006 | 0.004 |
ETN | 5.6 | 0.013 | 0.030 | 0.060 | 0.110 | 0.204 | 0.289 | 0.206 | 0.050 | 0.037 |
IFX + MTX | 1.6 | 0.633 | 0.243 | 0.077 | 0.027 | 0.014 | 0.004 | 0.001 | 0.000 | 0.000 |
GOL + MTX | 5.2 | 0.021 | 0.048 | 0.093 | 0.156 | 0.235 | 0.229 | 0.145 | 0.042 | 0.030 |
Intensive cDMARDs | 3.2 | 0.086 | 0.278 | 0.305 | 0.151 | 0.099 | 0.054 | 0.016 | 0.007 | 0.003 |
Step-up intensive cDMARDs | 6.2 | 0.004 | 0.015 | 0.039 | 0.079 | 0.138 | 0.230 | 0.324 | 0.106 | 0.065 |
The model fitted the data reasonably well, with the total residual deviance, 64.87, close to the total number of data points, 53, included in the analysis. The largest residual deviances were 5.82 from Durez et al. 86 and 4.21 from the BEhandelings STrategie (BeST) study. 78
The between-study SD was estimated to be 0.13 [95% credible interval (CrI) 0.01 to 0.52], which implies mild to moderate heterogeneity between studies in intervention effects.
All interventions except for ADA were associated with beneficial treatment effects relative to cDMARDs with the greatest effect being associated with IFX plus MTX. However, the treatment effects were statistically significant only for ADA plus MTX, ETN plus MTX, IFX plus MTX and intensive cDMARDs at a conventional 5% level. IFX plus MTX (mean rank 1.6; probability of being the best 0.633) was the treatment that was most likely to be the most effective intervention.
A meta-analysis was used to estimate the proportion of patients experiencing an ACR ‘no response’ when treated with cDMARDs.
Data were available from eight studies. 78,81,86,87,90,94,108,109
The model fitted the data reasonably well, with the total residual deviance, 11.74, close to the total number of data points, 8, included in the analysis. The largest residual deviance was 3.35 from Durez et al. 86
The between-study SD was estimated to be 0.14 (95% CrI 0.01 to 0.44), which implies mild heterogeneity between studies in the baseline response.
Table 25 presents the probabilities of achieving at least an ARC20 response, an ACR50 response and an ACR70 response. These are derived by combining the treatment effects estimated from the NMA with the estimate of the cDMARDs ‘no response’ rate.
Intervention | At least ACR20 (95% CrI) | At least ACR50 (95% CrI) | At least ACR70 (95% CrI) |
---|---|---|---|
cDMARDs | 0.564 (0.495 to 0.632) | 0.322 (0.245 to 0.411) | 0.169 (0.116 to 0.237) |
ADA + MTX | 0.722 (0.600 to 0.820) | 0.486 (0.345 to 0.629) | 0.298 (0.184 to 0.436) |
ADA | 0.507 (0.323 to 0.692) | 0.272 (0.133 to 0.457) | 0.136 (0.054 to 0.276) |
ETN + MTX | 0.785 (0.612 to 0.903) | 0.566 (0.360 to 0.754) | 0.370 (0.195 to 0.578) |
ETN | 0.668 (0.466 to 0.829) | 0.424 (0.235 to 0.632) | 0.246 (0.112 to 0.441) |
IFX + MTX | 0.828 (0.697 to 0.935) | 0.627 (0.453 to 0.815) | 0.432 (0.268 to 0.656) |
GOL + MTX | 0.686 (0.481 to 0.844) | 0.445 (0.245 to 0.653) | 0.263 (0.116 to 0.464) |
Intensive cDMARDs | 0.766 (0.586 to 0.904) | 0.542 (0.339 to 0.754) | 0.348 (0.179 to 0.577) |
Step-up intensive cDMARDs | 0.639 (0.446 to 0.827) | 0.395 (0.219 to 0.626) | 0.223 (0.101 to 0.432) |
American College of Rheumatology: main trials plus methotrexate experienced
A NMA was used to compare the effects of ADA (with and without MTX), ETN (with and without MTX), IFX plus MTX, GOL plus MTX, intensive cDMARDs and step-up intensive cDMARDs relative to cDMARDs on ACR response.
Data were available from 10 studies comparing two, three or four interventions. 53,54,78,81,90,94,109,120,139,142
Figure 7 presents the network of evidence and Table 26 presents the frequency with which each pair of treatments was compared. There are eight treatment effects to estimate from 10 studies.
Intervention | cDMARDs | ADA + MTX | ADA | ETN + MTX | ETN | IFX + MTX | GOL + MTX | Intensive cDMARDs | Step-up intensive cDMARDs |
---|---|---|---|---|---|---|---|---|---|
cDMARDs | – | 3 | 1 | 3 | 2 | 2 | 1 | 8 | |
ADA + MTX | – | – | 1 | ||||||
ADA | – | – | – | ||||||
ETN + MTX | – | – | – | – | 1 | 1 | |||
ETN | – | – | – | – | – | ||||
IFX + MTX | – | – | – | – | – | – | 1 | ||
GOL + MTX | – | – | – | – | – | – | – | ||
Intensive cDMARDs | – | – | – | – | – | – | – | – | |
Step-up intensive cDMARDs | – | – | – | – | – | – | – | – | – |
Figure 8 presents the effects of each intervention relative to cDMARDs on the probit scale, and Figure 9 and Table 27 presents the probabilities of treatment rankings.
Intervention | Rank (mean) | Rank | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | ||
cDMARDs | 7.8 | 0.000 | 0.000 | 0.000 | 0.001 | 0.021 | 0.032 | 0.210 | 0.683 | 0.086 |
ADA + MTX | 3.8 | 0.018 | 0.240 | 0.443 | 0.184 | 0.029 | 0.032 | 0.004 | 0.001 | 0.000 |
ADA | 8.7 | 0.000 | 0.000 | 0.001 | 0.004 | 0.016 | 0.020 | 0.045 | 0.108 | 0.825 |
ETN + MTX | 2.4 | 0.130 | 0.271 | 0.083 | 0.020 | 0.002 | 0.008 | 0.000 | 0.000 | 0.000 |
ETN | 6.5 | 0.000 | 0.002 | 0.009 | 0.089 | 0.398 | 0.075 | 0.413 | 0.068 | 0.020 |
IFX + MTX | 1.3 | 0.801 | 0.050 | 0.024 | 0.006 | 0.001 | 0.001 | 0.000 | 0.000 | 0.000 |
GOL + MTX | 4.9 | 0.017 | 0.074 | 0.143 | 0.439 | 0.177 | 0.509 | 0.072 | 0.021 | 0.008 |
Intensive cDMARDs | 3.2 | 0.034 | 0.351 | 0.255 | 0.100 | 0.009 | 0.033 | 0.001 | 0.000 | 0.000 |
Step-up intensive cDMARDs | 6.4 | 0.000 | 0.012 | 0.042 | 0.157 | 0.346 | 0.290 | 0.255 | 0.119 | 0.062 |
The model fitted the data reasonably well, with the total residual deviance, 84.19, close to the total number of data points, 71, included in the analysis. The largest residual deviances were 5.89 and 3.92 from the Patients REceiving Methotrexate and Infliximab for the treatment of Early Rheumatoid arthritis (PREMIER) study109 and 4.08 from the BeST study. 78
The between-study SD was estimated to be 0.07 (95% CrI 0.00 to 0.26), which implies mild heterogeneity between studies in intervention effects. The addition of the studies including patients who were MTX experienced has reduced the estimate of the between-study SD.
All interventions except for ADA were associated with beneficial treatment effects relative to cDMARDs, with the greatest effect being associated with IFX plus MTX. However, the treatment effects were statistically significant only for ADA plus MTX, ETN plus MTX, IFX plus MTX and intensive cDMARDs at a conventional 5% level. IFX plus MTX (mean rank 1.3; probability of being the best 0.801) was the treatment that was most likely to be the most effective intervention.
A meta-analysis was used to estimate the proportion of patients experiencing an ACR ‘no response’ when treated with cDMARDs.
Data were available from 10 studies. 53,54,78,81,86,87,90,94,108,109
The model fitted the data well, with the total residual deviance, 10.95, close to the total number of data points, 10, included in the analysis.
The between-study SD was estimated to be 0.32 (95% CrI 0.18 to 0.62), which implies mild to moderate heterogeneity between studies in the baseline response.
Table 28 presents the probabilities of achieving at least an ACR20 response, an ACR50 response and an ACR70 response. These are derived by combining the treatment effects estimated from the NMA with the estimate of the cDMARDs ‘no response’ rate.
Intervention | At least ACR20 (95% CrI) | At least ACR50 (95% CrI) | At least ACR70 (95% CrI) |
---|---|---|---|
cDMARDs | 0.559 (0.464 to 0.650) | 0.306 (0.218 to 0.406) | 0.144 (0.090 to 0.216) |
ADA + MTX | 0.718 (0.613 to 0.806) | 0.468 (0.344 to 0.595) | 0.263 (0.168 to 0.379) |
ADA | 0.504 (0.356 to 0.640) | 0.259 (0.153 to 0.394) | 0.115 (0.056 to 0.205) |
ETN + MTX | 0.756 (0.658 to 0.837) | 0.515 (0.391 to 0.637) | 0.302 (0.201 to 0.422) |
ETN | 0.608 (0.486 to 0.721) | 0.352 (0.236 to 0.482) | 0.174 (0.101 to 0.276) |
IFX + MTX | 0.805 (0.683 to 0.901) | 0.582 (0.421 to 0.738) | 0.364 (0.224 to 0.533) |
GOL + MTX | 0.676 (0.525 to 0.805) | 0.420 (0.268 to 0.588) | 0.224 (0.119 to 0.373) |
Intensive cDMARDs | 0.737 (0.621 to 0.832) | 0.491 (0.355 to 0.630) | 0.282 (0.174 to 0.413) |
Step-up intensive cDMARDs | 0.616 (0.455 to 0.761) | 0.360 (0.216 to 0.527) | 0.180 (0.089 to 0.313) |
Populations 2 and 3 (methotrexate-experienced populations)
European League Against Rheumatism: main trials
A NMA was used to compare the effects of ABT i.v. plus MTX, ADA (with and without MTX), intensive cDMARDs, ETN (with and without MTX), GOL plus MTX, IFX plus MTX, PBO, TCZ (with and without MTX), the grouped biologics (from the TACIT RCT141) and CTZ plus MTX relative to cDMARDs on EULAR response.
Data were available from 15 studies comparing two or three interventions. 57,58,74,76,79,91,92,102,116,118,119,121,122,140,141
Figure 10 presents the network of evidence and Table 29 presents the frequency with which each pair of treatments was compared. There are 13 treatment effects to estimate from 15 studies. 57,58,74,76,79,91,92,102,116,118,119,121,122,140,141
Intervention | cDMARDs | ABT i.v. + MTX | ADA + MTX | ADA | Intensive cDMARDs | ETN + MTX | ETN | GOL + MTX | IFX + MTX | PBO | TCZ + MTX | TCZ | Grouped biologics | CTZ + MTX |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cDMARDs | – | 1 | 1 | 2 | 2 | 1 | 1 | 1 | ||||||
ABT i.v. + MTX | – | – | 1 | |||||||||||
ADA + MTX | – | – | – | |||||||||||
ADA | – | – | – | – | 1 | 1 | ||||||||
Intensive cDMARDs | – | – | – | – | – | 1 | 1 | 1 | ||||||
ETN + MTX | – | – | – | – | – | – | 1 | |||||||
ETN | – | – | – | – | – | – | – | |||||||
GOL + MTX | – | – | – | – | – | – | – | – | ||||||
IFX + MTX | – | – | – | – | – | – | – | – | – | |||||
PBO | – | – | – | – | – | – | – | – | – | – | ||||
TCZ + MTX | – | – | – | – | – | – | – | – | – | – | – | 1 | ||
TCZ | – | – | – | – | – | – | – | – | – | – | – | – | ||
Grouped biologics | – | – | – | – | – | – | – | – | – | – | – | – | – | |
CTZ + MTX | – | – | – | – | – | – | – | – | – | – | – | – | – | – |
Figure 11 presents the effects of each intervention relative to cDMARDs on the probit scale and Figure 12 and Table 30 present the probabilities of treatment rankings.
Intervention | Rank (mean) | Rank | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | ||
cDMARDs | 12.7 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.001 | 0.002 | 0.008 | 0.019 | 0.044 | 0.090 | 0.176 | 0.340 | 0.319 |
ABT i.v. + MTX | 8.6 | 0.006 | 0.010 | 0.023 | 0.043 | 0.067 | 0.090 | 0.111 | 0.123 | 0.129 | 0.122 | 0.112 | 0.089 | 0.052 | 0.023 |
ADA + MTX | 8.3 | 0.015 | 0.020 | 0.041 | 0.061 | 0.081 | 0.092 | 0.096 | 0.102 | 0.096 | 0.096 | 0.100 | 0.096 | 0.067 | 0.038 |
ADA | 7.1 | 0.020 | 0.041 | 0.093 | 0.105 | 0.104 | 0.100 | 0.098 | 0.083 | 0.079 | 0.077 | 0.075 | 0.075 | 0.045 | 0.004 |
Intensive cDMARDs | 10.7 | 0.000 | 0.001 | 0.006 | 0.014 | 0.020 | 0.037 | 0.050 | 0.066 | 0.085 | 0.114 | 0.153 | 0.187 | 0.165 | 0.104 |
ETN + MTX | 3.8 | 0.268 | 0.139 | 0.158 | 0.116 | 0.085 | 0.067 | 0.048 | 0.039 | 0.030 | 0.022 | 0.016 | 0.009 | 0.004 | 0.001 |
ETN | 8.2 | 0.027 | 0.068 | 0.054 | 0.073 | 0.078 | 0.073 | 0.072 | 0.068 | 0.071 | 0.077 | 0.082 | 0.079 | 0.074 | 0.104 |
GOL + MTX | 6.4 | 0.015 | 0.030 | 0.080 | 0.127 | 0.155 | 0.150 | 0.126 | 0.099 | 0.078 | 0.060 | 0.042 | 0.025 | 0.010 | 0.002 |
IFX + MTX | 8.6 | 0.000 | 0.002 | 0.007 | 0.016 | 0.042 | 0.080 | 0.134 | 0.175 | 0.191 | 0.168 | 0.113 | 0.053 | 0.016 | 0.003 |
PBO | 11.2 | 0.006 | 0.008 | 0.013 | 0.028 | 0.030 | 0.033 | 0.040 | 0.045 | 0.053 | 0.064 | 0.075 | 0.098 | 0.151 | 0.354 |
TCZ + MTX | 3.0 | 0194 | 0.308 | 0.205 | 0.131 | 0.070 | 0.041 | 0.022 | 0.014 | 0.008 | 0.004 | 0.002 | 0.001 | 0.000 | 0.000 |
TCZ | 2.4 | 0.377 | 0.275 | 0.164 | 0.087 | 0.047 | 0.023 | 0.013 | 0.007 | 0.004 | 0.002 | 0.001 | 0.000 | 0.000 | 0.000 |
Grouped biologics | 7.4 | 0.037 | 0.054 | 0.070 | 0.087 | 0.099 | 0.095 | 0.083 | 0.082 | 0.081 | 0.082 | 0.078 | 0.064 | 0.051 | 0.037 |
CTZ + MTX | 6.7 | 0.034 | 0.044 | 0.087 | 0.111 | 0.123 | 0.118 | 0.104 | 0.088 | 0.076 | 0.068 | 0.061 | 0.047 | 0.025 | 0.012 |
The model fitted the data well, with the total residual deviance, 59.57, close to the total number of data points, 52, included in the analysis.
The between-study SD was estimated to be 0.38 (95% CrI 0.18 to 0.73), which implies mild to moderate heterogeneity between studies in intervention effects.
All interventions were associated with beneficial treatment effects relative to cDMARDs, with the greatest effects being associated with TCZ, TCZ plus MTX and ETN plus MTX. However, the treatment effects were statistically significant only for GL plus MTX, TCZ and TCZ plus MTX at a conventional 5% level. There was insufficient evidence to differentiate between treatments, although TCZ was ranked highest and was the treatment that was most likely to be the most effective intervention (mean rank 2.4; probability of being the best 0.377).
A meta-analysis was used to estimate the proportion of patients experiencing a EULAR ‘no response’ when treated with cDMARDs.
Data were available from eight studies. 74,76,79,91,92,116,118,121
The model fitted the data well, with the total residual deviance, 8.63, close to the total number of data points, 8, included in the analysis.
The between-study SD was estimated to be 0.18 (95% CrI 0.05 to 0.44), which implies mild heterogeneity between studies in the baseline response.
Table 31 presents the probabilities of achieving at least a moderate and at least a good EULAR response. These are derived by combining the treatment effects estimated from the NMA with the estimate of the cDMARDs ‘no response’ rate.
Intervention | At least moderate (95% CrI) | At least good (95% CrI) |
---|---|---|
cDMARDs | 0.451 (0.384 to 0.520) | 0.094 (0.058 to 0.144) |
ABT i.v. + MTX | 0.690 (0.358 to 0.913) | 0.242 (0.058 to 0.571) |
ADA + MTX | 0.700 (0.330 to 0.934) | 0.252 (0.049 to 0.631) |
ADA | 0.757 (0.328 to 0.975) | 0.311 (0.050 to 0.781) |
Intensive cDMARDs | 0.581 (0.180 to 0.910) | 0.162 (0.017 to 0.567) |
ETN + MTX | 0.893 (0.426 to 0.996) | 0.519 (0.082 to 0.931) |
ETN | 0.706 (0.121 to 0.989) | 0.257 (0.009 to 0.867) |
GOL + MTX | 0.786 (0.545 to 0.929) | 0.345 (0.134 to 0.620) |
IFX + MTX | 0.688 (0.436 to 0.874) | 0.241 (0.084 to 0.490) |
PBO | 0.495 (0.070 to 0.942) | 0.115 (0.004 to 0.648) |
TCZ + MTX | 0.914 (0.738 to 0.984) | 0.568 (0.283 to 0.833) |
TCZ | 0.930 (0.770 to 0.990) | 0.613 (0.319 to 0.875) |
Grouped biologics | 0.746 (0.211 to 0.983) | 0.298 (0.022 to 0.823) |
CTZ + MTX | 0.779 (0.428 to 0.957) | 0.336 (0.082 to 0.708) |
European League Against Rheumatism: main trials plus prior biologics
A NMA was used to compare the effects of ABT i.v. plus MTX, ADA (with and without MTX), intensive cDMARDs, ETN (with and without MTX), GOL plus MTX, IMFX plus MTX, PBO, TCZ (with and without MTX), the grouped biologics (from the TACIT RCT141) and CTZ plus MTX relative to cDMARDs on EULAR response.
Data were available from 18 studies comparing two or three interventions. 57,58,74,76,79,91,92,102,116,118,119,121,122,132,135,139–141
Figure 13 presents the network of evidence and Table 32 presents the frequency with which each pair of treatments was compared. There are 13 treatment effects to estimate from 18 studies. 57,58,74,76,79,91,92,102,116,118,119,121,122,132,135,139–141
Intervention | cDMARDs | ABT i.v. + MTX | ADA + MTX | ADA | Intensive cDMARDs | ETN + MTX | ETN | GOL + MTX | IFX + MTX | PBO | TCZ + MTX | TCZ | Grouped biologics | CTZ + MTX |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cDMARDs | – | 1 | 1 | 2 | 2 | 2 | 1 | 3 | ||||||
ABT i.v. + MTX | – | – | 1 | |||||||||||
ADA + MTX | – | – | – | |||||||||||
ADA | – | – | – | – | 1 | 1 | ||||||||
Intensive cDMARDs | – | – | – | – | – | 1 | 1 | 1 | ||||||
ETN + MTX | – | – | – | – | – | – | 1 | |||||||
ETN | – | – | – | – | – | – | – | |||||||
GOL + MTX | – | – | – | – | – | – | – | – | ||||||
IFX + MTX | – | – | – | – | – | – | – | – | – | |||||
PBO | – | – | – | – | – | – | – | – | – | – | ||||
TCZ + MTX | – | – | – | – | – | – | – | – | – | – | – | 1 | ||
TCZ | – | – | – | – | – | – | – | – | – | – | – | – | ||
Grouped biologics | – | – | – | – | – | – | – | – | – | – | – | – | – | |
CTZ + MTX | – | – | – | – | – | – | – | – | – | – | – | – | – | – |
Figure 14 presents the effects of each intervention relative to cDMARDs on the probit scale and Figure 15 and Table 33 present the probabilities of treatment rankings.
Intervention | Rank (mean) | Rank | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | ||
cDMARDs | 12.8 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.001 | 0.005 | 0.013 | 0.035 | 0.076 | 0.164 | 0.372 | 0.333 |
ABT i.v. + MTX | 8.7 | 0.004 | 0.006 | 0.015 | 0.030 | 0.058 | 0.085 | 0.118 | 0.138 | 0.136 | 0.136 | 0.122 | 0.091 | 0.045 | 0.016 |
ADA + MTX | 8.5 | 0.012 | 0.014 | 0.026 | 0.047 | 0.075 | 0.096 | 0.109 | 0.107 | 0.107 | 0.103 | 0.108 | 0.100 | 0.065 | 0.031 |
ADA | 7.6 | 0.013 | 0.035 | 0.048 | 0.075 | 0.099 | 0.114 | 0.113 | 0.098 | 0.090 | 0.090 | 0.088 | 0.093 | 0.040 | 0.003 |
Intensive cDMARDs | 11.0 | 0.000 | 0.001 | 0.003 | 0.007 | 0.011 | 0.020 | 0.039 | 0.059 | 0.085 | 0.123 | 0.172 | 0.215 | 0.168 | 0.096 |
ETN + MTX | 3.7 | 0.287 | 0.131 | 0.113 | 0.131 | 0.104 | 0.074 | 0.054 | 0.036 | 0.027 | 0.020 | 0.013 | 0.007 | 0.002 | 0.000 |
ETN | 8.4 | 0.017 | 0.064 | 0.046 | 0.048 | 0.073 | 0.085 | 0.082 | 0.082 | 0.079 | 0.084 | 0.089 | 0.084 | 0.073 | 0.095 |
GOL + MTX | 6.7 | 0.011 | 0.022 | 0.045 | 0.105 | 0.159 | 0.169 | 0.151 | 0.113 | 0.084 | 0.063 | 0.043 | 0.024 | 0.009 | 0.001 |
IFX + MTX | 8.9 | 0.000 | 0.000 | 0.002 | 0.008 | 0.025 | 0.065 | 0.121 | 0.185 | 0.218 | 0.185 | 0.118 | 0.057 | 0.015 | 0.001 |
PBO | 11.7 | 0.003 | 0.004 | 0.008 | 0.012 | 0.018 | 0.027 | 0.034 | 0.045 | 0.050 | 0.059 | 0.079 | 0.103 | 0.166 | 0.392 |
TCZ + MTX | 3.2 | 0.131 | 0.267 | 0.244 | 0.170 | 0.095 | 0.050 | 0.022 | 0.012 | 0.005 | 0.003 | 0.001 | 0.000 | 0.000 | 0.000 |
TCZ | 2.4 | 0.377 | 0.243 | 0.169 | 0.103 | 0.054 | 0.026 | 0.013 | 0.006 | 0.004 | 0.002 | 0.001 | 0.000 | 0.000 | 0.000 |
Grouped biologics | 7.5 | 0.033 | 0.050 | 0.055 | 0.063 | 0.095 | 0.105 | 0.101 | 0.094 | 0.091 | 0.091 | 0.085 | 0.061 | 0.044 | 0.032 |
CTZ + MTX | 3.7 | 0.113 | 0.162 | 0.225 | 0.200 | 0.133 | 0.082 | 0.042 | 0.021 | 0.011 | 0.006 | 0.003 | 0.001 | 0.000 | 0.000 |
The model fitted the data well, with the total residual deviance, 70.90, close to the total number of data points, 60, included in the analysis.
The between-study SD was estimated to be 0.34 (95% CrI 0.17 to 0.62), which implies mild to moderate heterogeneity between studies in intervention effects. The addition of the studies including patients who had received prior biologics resulted in a small reduction in the estimate of the between-study SD.
All interventions were associated with beneficial treatment effects relative to cDMARDs, with the greatest effects being associated with TCZ, TCZ plus MTX, ETN plus MTX and CTZ plus MTX. However, the treatment effects were statistically significant only for ETN plus MTX, GOL plus MTX, IFX plus MTX, TCZ plus MTX, TCZ and CTZ plus MTX at a conventional 5% level. There was insufficient evidence to differentiate between treatments, although TCZ was ranked highest and was the treatment that was most likely to be the most effective intervention (mean rank 2.4; probability of being the best 0.377). The addition of the studies including patients who had received prior biologics had the greatest impact on the estimate of the effect of CTZ plus MTX.
A meta-analysis was used to estimate the proportion of patients experiencing a EULAR ‘no response’ when treated with cDMARDs.
Data were available from 11 studies. 74,76,79,91,92,116,118,121,129,132,135
The model fitted the data well, with the total residual deviance, 11.42, close to the total number of data points, 11, included in the analysis.
The between-study SD was estimated to be 0.24 (95% CrI 0.13 to 0.46), which implies mild heterogeneity between studies in the baseline response.
Table 34 presents the probabilities of achieving at least a moderate and at least a good EULAR response. These are derived by combining the treatment effects estimated from the NMA with the estimate of the cDMARDs ‘no response’ rate.
Intervention | At least moderate (95% CrI) | At least good (95% CrI) |
---|---|---|
cDMARDs | 0.410 (0.344 to 0.479) | 0.077 (0.048 to 0.117) |
ABT i.v. + MTX | 0.655 (0.356 to 0.878) | 0.212 (0.057 to 0.494) |
ADA + MTX | 0.664 (0.327 to 0.903) | 0.220 (0.048 to 0.546) |
ADA | 0.704 (0.321 to 0.948) | 0.254 (0.047 to 0.669) |
Intensive cDMARDs | 0.539 (0.178 to 0.863) | 0.136 (0.016 to 0.463) |
ETN + MTX | 0.871 (0.437 to 0.992) | 0.473 (0.085 to 0.886) |
ETN | 0.670 (0.132 to 0.973) | 0.224 (0.010 to 0.772) |
GOL + MTX | 0.754 (0.528 to 0.902) | 0.305 (0.126 to 0.545) |
IFX + MTX | 0.652 (0.424 to 0.832) | 0.210 (0.079 to 0.416) |
PBO | 0.433 (0.071 to 0.883) | 0.086 (0.004 to 0.500) |
TCZ + MTX | 0.88 (0.751 to 0.958) | 0.495 (0.293 to 0.710) |
TCZ | 0.907 (0.752 to 0.979) | 0.550 (0.298 to 0.800) |
Grouped biologics | 0.711 (0.217 to 0.967) | 0.260 (0.023 to 0.743) |
CTZ + MTX | 0.864 (0.722 to 0.946) | 0.462 (0.263 to 0.668) |
American College of Rheumatology: main trials
A NMA was used to compare the effects of ABT i.v. plus MTX, ADA (with and without MTX), intensive cDMARDs, ETN (with and without MTX), GOL plus MTX, IFX plus MTX, PBO, TCZ (with and without MTX), CTZ plus MTX and ABT s.c. plus MTX relative to cDMARDs on ACR response.
Data were available from 28 studies comparing two or three interventions. 57,58,62,66,69,70,74–76,79,80,84,85,89,91,92,96,99,102,105,112,115–118,121,122,124,140,160
Figure 16 presents the network of evidence and Table 35 presents the frequency with which each pair of treatments was compared. There were 13 treatment effects to estimate from 28 studies.
Intervention | cDMARDs | ABT i.v. + MTX | ADA + MTX | ADA | Intensive cDMARDs | ETN + MTX | ETN | GOL + MTX | IFX + MTX | PBO | TCZ + MTX | TCZ | CTZ + MTX | ABT s.c. + MTX |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cDMARDs | – | 2 | 5 | 3 | 1 | 2 | 3 | 1 | 2 | 1 | ||||
ABT i.v. + MTX | – | – | 1 | |||||||||||
ADA + MTX | – | – | – | 1 | ||||||||||
ADA | – | – | – | – | 2 | 1 | ||||||||
Intensive cDMARDs | – | – | – | – | – | 2 | ||||||||
ETN + MTX | – | – | – | – | – | – | 2 | 1 | ||||||
ETN | – | – | – | – | – | – | – | 1 | ||||||
GOL + MTX | – | – | – | – | – | – | – | – | ||||||
IFX + MTX | – | – | – | – | – | – | – | – | – | |||||
PBO | – | – | – | – | – | – | – | – | – | – | ||||
TCZ + MTX | – | – | – | – | – | – | – | – | – | – | – | 1 | ||
TCZ | – | – | – | – | – | – | – | – | – | – | – | – | ||
CTZ + MTX | – | – | – | – | – | – | – | – | – | – | – | – | – | |
ABT s.c. + MTX | – | – | – | – | – | – | – | – | – | – | – | – | – | – |
Figure 17 presents the effects of each intervention relative to cDMARDs on the probit scale and Figure 18 and Table 36 present the probabilities of treatment rankings.
Intervention | Rank (mean) | Rank | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | ||
cDMARDs | 13.0 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.004 | 0.063 | 0.859 | 0.075 |
ABT i.v. + MTX | 8.3 | 0.007 | 0.014 | 0.025 | 0.039 | 0.062 | 0.082 | 0.108 | 0.131 | 0.166 | 0.169 | 0.130 | 0.067 | 0.001 | 0.000 |
ADA + MTX | 6.8 | 0.004 | 0.019 | 0.040 | 0.078 | 0.122 | 0.168 | 0.181 | 0.164 | 0.117 | 0.071 | 0.029 | 0.006 | 0.000 | 0.000 |
ADA | 10.1 | 0.003 | 0.005 | 0.011 | 0.017 | 0.029 | 0.038 | 0.049 | 0.058 | 0.085 | 0.136 | 0.230 | 0.312 | 0.027 | 0.000 |
Intensive cDMARDs | 10.0 | 0.001 | 0.005 | 0.010 | 0.016 | 0.026 | 0.037 | 0.050 | 0.065 | 0.090 | 0.144 | 0.242 | 0.291 | 0.022 | 0.003 |
ETN + MTX | 3.1 | 0.247 | 0.210 | 0.196 | 0.144 | 0.089 | 0.054 | 0.031 | 0.017 | 0.008 | 0.003 | 0.001 | 0.000 | 0.000 | 0.000 |
ETN | 5.7 | 0.045 | 0.086 | 0.103 | 0.136 | 0.136 | 0.118 | 0.101 | 0.094 | 0.086 | 0.064 | 0.027 | 0.005 | 0.000 | 0.000 |
GOL + MTX | 5.8 | 0.067 | 0.079 | 0.098 | 0.113 | 0.124 | 0.118 | 0.103 | 0.094 | 0.076 | 0.065 | 0.042 | 0.019 | 0.000 | 0.000 |
IFX + MTX | 7.8 | 0.005 | 0.013 | 0.030 | 0.055 | 0.084 | 0.119 | 0.147 | 0.168 | 0.166 | 0.126 | 0.069 | 0.019 | 0.000 | 0.000 |
PBO | 13.9 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.002 | 0.008 | 0.071 | 0.919 |
TCZ + MTX | 3.6 | 0.213 | 0.202 | 0.168 | 0.133 | 0.093 | 0.063 | 0.049 | 0.033 | 0.023 | 0.015 | 0.007 | 0.002 | 0.000 | 0.000 |
TCZ | 3.0 | 0.239 | 0.251 | 0.192 | 0.131 | 0.080 | 0.047 | 0.028 | 0.017 | 0.010 | 0.004 | 0.001 | 0.000 | 0.000 | 0.000 |
CTZ + MTX | 8.2 | 0.044 | 0.037 | 0.043 | 0.049 | 0.060 | 0.067 | 0.069 | 0.081 | 0.096 | 0.124 | 0.149 | 0.161 | 0.015 | 0.003 |
ABT s.c. + MTX | 6.0 | 0.125 | 0.081 | 0.083 | 0.090 | 0.095 | 0.089 | 0.083 | 0.079 | 0.077 | 0.078 | 0.069 | 0.047 | 0.003 | 0.001 |
The model fitted the data well, with the total residual deviance, 185.61, close to the total number of data points, 174, included in the analysis. The largest residual deviances were 7.24 and 3.86 from O’Dell et al. ,111 and 4.99 from the Anti-TNF factor Research study program of the Monoclonal antibody ADalimumab (D2E7) in rheumatoid Arthritis (ARMADA) study. 69
The between-study SD was estimated to be 0.24 (95% CrI 0.14 to 0.40), which implies mild heterogeneity between studies in intervention effects.
All interventions except for PBO were associated with beneficial treatment effects relative to cDMARDs with the greatest effects being associated with ETN plus MTX and TCZ (with and without MTX). The treatment effects were statistically significant for all interventions except for ADA and PBO at a conventional 5% level. There was insufficient evidence to differentiate between treatments, although TCZ (mean rank 3.0; probability of being the best 0.234), ETN plus MTX (mean rank 3.1; probability of being the best 0.247) and TCZ plus MTX (mean rank 3.6; probability of being the best 0.213) were the treatments that were most likely to be the most effective interventions.
A meta-analysis was used to estimate the proportion of patients experiencing an ACR ‘no response’ when treated with cDMARDs.
Data were available from 18 studies. 62,69,70,74–76,79,84,89,91,92,96,99,115–118,121,124,160
The model fitted the data well, with the total residual deviance, 18.70, close to the total number of data points, 18, included in the analysis.
The between-study SD was estimated to be 0.23 (95% CrI 0.14 to 0.38), which implies mild heterogeneity between studies in the baseline response.
Table 37 presents the probabilities of achieving at least an ACR20, an ACR50 and an ACR70 response. These are derived by combining the treatment effects estimated from the NMA with the estimate of the cDMARDs ‘no response’ rate.
Intervention | At least ACR20 (95% CrI) | At least ACR50 (95% CrI) | At least ACR70 (95% CrI) |
---|---|---|---|
cDMARDs | 0.298 (0.255 to 0.344) | 0.123 (0.098 to 0.1530 | 0.042 (0.031 to 0.056) |
ABT i.v. + MTX | 0.573 (0.418 to 0.719) | 0.328 (0.200 to 0.480) | 0.156 (0.079 to 0.268) |
ADA + MTX | 0.615 (0.500 to 0.726) | 0.368 (0.263 to 0.489) | 0.183 (0.115 to 0.276) |
ADA | 0.499 (0.286 to 0.712) | 0.264 (0.116 to 0.472) | 0.115 (0.039 to 0.263) |
Intensive cDMARDs | 0.503 (0.293 to 0.704) | 0.266 (0.120 to 0.462) | 0.117 (0.041 to 0.254) |
ETN + MTX | 0.713 (0.576 to 0.823) | 0.472 (0.330 to 0.617) | 0.263 (0.157 to 0.394) |
ETN | 0.645 (0.467 to 0.798) | 0.398 (0.237 to 0.580) | 0.205 (0.100 to 0.359) |
GOL + MTX | 0.642 (0.469 to 0.793) | 0.395 (0.239 to 0.573) | 0.202 (0.101 to 0.351) |
IFX + MTX | 0.595 (0.466 to 0.718) | 0.348 (0.236 to 0.479) | 0.169 (0.099 to 0.268) |
PBO | 0.175 (0.063 to 0.362) | 0.059 (0.015 to 0.163) | 0.016 (0.003 to 0.061) |
TCZ + MTX | 0.706 (0.542 to 0.837) | 0.464 (0.299 to 0.638) | 0.256 (0.136 to 0.415) |
TCZ | 0.717 (0.578 to 0.830) | 0.477 (0.332 to 0.627) | 0.266 (0.159 to 0.405) |
CTZ + MTX | 0.564 (0.314 to 0.785) | 0.319 (0.133 to 0.563) | 0.150 (0.046 to 0.341) |
ABT s.c. + MTX | 0.638 (0.400 to 0.837) | 0.391 (0.188 to 0.637) | 0.199 (0.073 to 0.415) |
American College of Rheumatology: main trials plus prior biologics with AMBITION
A NMA was used to compare the effects of ABT i.v. plus MTX, ADA (with and without MTX), intensive cDMARDs, ETN (with and without MTX), GOL plus MTX, IFX plus MTX, PBO, TCZ (with and without MTX), CTZ plus MTX, ABT s.c. plus MTX, TOF (5-mg and 10-mg doses) and MTX relative to cDMARDs on ACR response.
Data were available from 40 studies comparing two, three or four interventions. 55,57,58,62,66,69,70,74–76,79,80,84,85,89,91,92,96,99,102,105,112,115–118,121,122,124,127,129–138,140,160
Figure 19 presents the network of evidence and Table 38 presents the frequency with which each pair of treatments was compared. There were 15 treatment effects to estimate from 40 studies. 55,57,58,62,66,69,70,74–76,79,80,84,85,89,91,92,96,99,102,105,112,115–118,121,122,124,127,129–138,140,160
Intervention | cDMARDs | ABT i.v. + MTX | ADA + MTX | ADA | Intensive cDMARDs | ETN + MTX | ETN | GOL + MTX | IFX + MTX | PBO | TCZ + MTX | TCZ | CTZ + MTX | ABA s.c. + MTX | TOF5 + MTX | TOF10 + MTX |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cDMARDs | – | 3 | 6 | 3 | 1 | 2 | 3 | 3 | 3 | 5 | 3 | 3 | ||||
ABT i.v. + MTX | – | – | 1 | 1 | ||||||||||||
ADA + MTX | – | – | – | 1 | 1 | 1 | ||||||||||
ADA | – | – | – | – | 2 | 1 | ||||||||||
Intensive cDMARDs | – | – | – | – | – | 2 | ||||||||||
ETN + MTX | – | – | – | – | – | – | 2 | 1 | ||||||||
ETN | – | – | – | – | – | – | – | 1 | ||||||||
GOL + MTX | – | – | – | – | – | – | – | – | ||||||||
IFX + MTX | – | – | – | – | – | – | – | – | – | |||||||
PBO | – | – | – | – | – | – | – | – | – | – | ||||||
TCZ + MTX | – | – | – | – | – | – | – | – | – | – | – | 1 | ||||
TCZ | – | – | – | – | – | – | – | – | – | – | – | – | ||||
CTZ + MTX | – | – | – | – | – | – | – | – | – | – | – | – | – | |||
ABT s.c. + MTX | – | – | – | – | – | – | – | – | – | – | – | – | – | – | ||
TOF5 + MTX | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | 3 |
TOF10 + MTX | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – |
Figure 20 presents the effects of each intervention relative to cDMARDs on the probit scale and Figure 21 and Table 39 present the probabilities of treatment rankings.
Intervention | Rank (mean) | Rank | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | ||
cDMARDs | 15.0 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.002 | 0.058 | 0.909 | 0.032 |
ABT i.v. + MTX | 9.5 | 0.001 | 0.004 | 0.013 | 0.024 | 0.039 | 0.057 | 0.082 | 0.107 | 0.129 | 0.144 | 0.154 | 0.145 | 0.078 | 0.023 | 0.000 | 0.000 |
ADA + MTX | 8.9 | 0.001 | 0.004 | 0.010 | 0.023 | 0.043 | 0.076 | 0.112 | 0.143 | 0.165 | 0.162 | 0.132 | 0.088 | 0.035 | 0.006 | 0.000 | 0.000 |
ADA | 12.9 | 0.001 | 0.001 | 0.003 | 0.004 | 0.007 | 0.010 | 0.013 | 0.018 | 0.021 | 0.030 | 0.044 | 0.073 | 0.228 | 0.505 | 0.043 | 0.000 |
Intensive cDMARDs | 11.8 | 0.000 | 0.004 | 0.009 | 0.014 | 0.018 | 0.022 | 0.030 | 0.035 | 0.039 | 0.051 | 0.070 | 0.104 | 0.299 | 0.288 | 0.016 | 0.001 |
ETN + MTX | 2.9 | 0.263 | 0.295 | 0.165 | 0.103 | 0.067 | 0.042 | 0.026 | 0.017 | 0.011 | 0.006 | 0.004 | 0.001 | 0.000 | 0.000 | 0.000 | 0.000 |
ETN | 6.4 | 0.037 | 0.077 | 0.122 | 0.110 | 0.104 | 0.098 | 0.088 | 0.075 | 0.067 | 0.061 | 0.060 | 0.072 | 0.026 | 0.004 | 0.000 | 0.000 |
GOL + MTX | 6.3 | 0.063 | 0.096 | 0.107 | 0.105 | 0.102 | 0.096 | 0.083 | 0.070 | 0.064 | 0.056 | 0.056 | 0.054 | 0.035 | 0.014 | 0.000 | 0.000 |
IFX + MTX | 8.6 | 0.003 | 0.011 | 0.029 | 0.049 | 0.066 | 0.091 | 0.105 | 0.117 | 0.120 | 0.116 | 0.115 | 0.106 | 0.056 | 0.016 | 0.000 | 0.000 |
PBO | 16.0 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.001 | 0.032 | 0.967 |
TCZ + MTX | 5.1 | 0.030 | 0.100 | 0.153 | 0.179 | 0.162 | 0.123 | 0.089 | 0.061 | 0.041 | 0.030 | 0.018 | 0.010 | 0.003 | 0.001 | 0.000 | 0.000 |
TCZ | 5.2 | 0.033 | 0.093 | 0.152 | 0.176 | 0.154 | 0.126 | 0.088 | 0.064 | 0.046 | 0.030 | 0.022 | 0.012 | 0.004 | 0.000 | 0.000 | 0.000 |
CTZ + MTX | 1.9 | 0.538 | 0.239 | 0.115 | 0.051 | 0.029 | 0.014 | 0.007 | 0.004 | 0.002 | 0.001 | 0.001 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
ABT s.c. + MTX | 8.0 | 0.020 | 0.040 | 0.054 | 0.063 | 0.076 | 0.086 | 0.094 | 0.098 | 0.096 | 0.097 | 0.094 | 0.090 | 0.065 | 0.027 | 0.000 | 0.000 |
TOF5 + MTX | 10.2 | 0.001 | 0.004 | 0.009 | 0.017 | 0.029 | 0.045 | 0.064 | 0.082 | 0.097 | 0.123 | 0.147 | 0.187 | 0.142 | 0.053 | 0.000 | 0.000 |
TOF10 + MTX | 7.4 | 0.010 | 0.032 | 0.060 | 0.083 | 0.103 | 0.115 | 0.120 | 0.110 | 0.102 | 0.091 | 0.083 | 0.058 | 0.027 | 0.006 | 0.000 | 0.000 |
There was some suggestion that model was not a good fit to all of the data, with the total residual deviance, 291.84, being larger than the total number of data points, 250, included in the analysis. The largest residual deviances, 14.21 and 14.70, were from Kremer et al. ,137 which included patients who received prior biologics, and were from the cDMARDs arm, in which only one patient had an ACR20 response and two patients had an ACR50 response. The next largest residual deviances were 5.92 and 4.04 from the O’Dell et al. study111 and 3.95 from the JESMR study. 140
The between-study SD was estimated to be 0.21 (95% CrI 0.14 to 0.32), which implies mild heterogeneity between studies in intervention effects. The addition of the AMBITION study55 and studies in which patients had received prior biologics reduced the point estimate and the uncertainty in the between study SD.
All interventions except for PBO were associated with beneficial treatment effects relative to cDMARDs with the greatest effects being associated with CTZ plus MTX and ETN plus MTX. The treatment effects were statistically significant for all interventions except for ADA and PBO at a conventional 5% level. There was insufficient evidence to differentiate between treatments, although CTZ plus MTX (mean rank 1.9; probability of being the best 0.538) and ETN plus MTX (mean rank 2.9; probability of being the best 0.263) were the treatments that were most likely to be the most effective interventions. The inclusion of the additional studies has had a small impact on six of the treatment effects. However, the effects of ADA (with and without MTX), TCZ (with and without MTX), ABT s.c. plus MTX and PBO were smaller, and the effect of CTZ plus MTX were larger relative to cDMARDs.
A meta-analysis was used to estimate the proportion of patients experiencing an ACR ‘no response’ when treated with cDMARDs.
Data were available from 29 studies. 55,62,69,70,74–76,79,84,89,91,92,96,99,115–118,121,124,128–138,160
The model fitted the data well, with the total residual deviance, 29.14, close to the total number of data points, 29, included in the analysis.
The between-study SD was estimated to be 0.27 (95% CrI 0.19 to 0.38), which implies mild heterogeneity between studies in the baseline response.
Table 40 presents the probabilities of achieving at least an ACR20, an ACR50 and an ACR70 response. These are derived by combining the treatment effects estimated from the NMA with the estimate of the cDMARDs ‘no response’ rate.
Intervention | At least ACR20 (95% CrI) | At least ACR50 (95% CrI) | At least ACR70 (95% CrI) |
---|---|---|---|
cDMARDs | 0.279 (0.242 to 0.318) | 0.117 (0.095 to 0.142) | 0.038 (0.029 to 0.049) |
ABT i.v. + MTX | 0.556 (0.444 to 0.664) | 0.321 (0.228 to 0.428) | 0.148 (0.092 to 0.223) |
ADA + MTX | 0.568 (0.475 to 0.659) | 0.332 (0.252 to 0.424) | 0.155 (0.106 to 0.220) |
ADA | 0.432 (0.253 to 0.625) | 0.219 (0.102 to 0.387) | 0.088 (0.032 to 0.194) |
Intensive cDMARDs | 0.475 (0.290 to 0.667) | 0.253 (0.123 to 0.432) | 0.106 (0.041 to 0.226) |
ETN + MTX | 0.690 (0.563 to 0.800) | 0.457 (0.328 to 0.593) | 0.246 (0.152 to 0.365) |
ETN | 0.616 (0.452 to 0.761) | 0.378 (0.233 to 0.542) | 0.187 (0.095 to 0.317) |
GOL + MTX | 0.619 (0.460 to 0.759) | 0.381 (0.240 to 0.540) | 0.189 (0.099 to 0.316) |
IFX + MTX | 0.572 (0.453 to 0.683) | 0.336 (0.234 to 0.451) | 0.158 (0.096 to 0.241) |
PBO | 0.143 (0.054 to 0.293) | 0.047 (0.014 to 0.126) | 0.012 (0.003 to 0.042) |
TCZ + MTX | 0.637 (0.532 to 0.734) | 0.400 (0.299 to 0.508) | 0.202 (0.134 to 0.288) |
TCZ | 0.636 (0.524 to 0.758) | 0.399 (0.292 to 0.513) | 0.201 (0.130 to 0.292) |
CTZ + MTX | 0.721 (0.620 to 0.804) | 0.492 (0.381 to 0.599) | 0.274 (0.189 to 0.371) |
ABT s.c. + MTX | 0.580 (0.428 to 0.723) | 0.344 (0.215 to 0.496) | 0.163 (0.085 to 0.278) |
TOF5 + MTX | 0.541 (0.413 to 0.660) | 0.308 (0.204 to 0.425) | 0.139 (0.080 to 0.220) |
TOF10 + MTX | 0.593 (0.469 to 0.708) | 0.356 (0.246 to 0.478) | 0.171 (0.103 to 0.262) |
American College of Rheumatology: main trials plus prior biologics without AMBITION
A NMA was used to compare the effects of ABT i.v. plus MTX, ADA (with and without MTX), intensive cDMARDs, ETN (with and without MTX), GOL plus MTX, IFX plus MTX, PBO, TCZ (with and without MTX), CTZ plus MTX, ABT s.c. plus MTX and TOF plus MTX (5-mg and 10-mg doses) relative to cDMARDs on ACR response.
Data were available from 39 studies comparing two, three or four interventions. 57,58,62,66,69,70,74–76,79,80,84,85,89,91,92,96,99,102,105,112,115–118,121,122,124,127,129–138,140,160
Figure 22 presents the network of evidence and Table 41 presents the frequency with which each pair of treatments was compared. There were 15 treatment effects to estimate from 39 studies.
Intervention | cDMARDs | ABT i.v. + MTX | ADA + MTX | ADA | Intensive cDMARDs | ETN + MTX | ETN | GOL + MTX | IFX + MTX | PBO | TCZ + MTX | TCZ | CTZ + MTX | ABT s.c. + MTX | TOF5 + MTX | TOF10 + MTX |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cDMARDs | – | 3 | 6 | 3 | 1 | 2 | 3 | 3 | 2 | 5 | 3 | 3 | ||||
ABT i.v. + MTX | – | – | 1 | 1 | ||||||||||||
ADA + MTX | – | – | – | 1 | 1 | 1 | ||||||||||
ADA | – | – | – | – | 2 | 1 | ||||||||||
Intensive cDMARDs | – | – | – | – | – | 2 | ||||||||||
ETN + MTX | – | – | – | – | – | – | 2 | 1 | ||||||||
ETN | – | – | – | – | – | – | – | 1 | ||||||||
GOL + MTX | – | – | – | – | – | – | – | – | ||||||||
IFX + MTX | – | – | – | – | – | – | – | – | – | |||||||
PBO | – | – | – | – | – | – | – | – | – | – | ||||||
TCZ + MTX | – | – | – | – | – | – | – | – | – | – | – | 1 | ||||
TCZ | – | – | – | – | – | – | – | – | – | – | – | – | ||||
CTZ + MTX | – | – | – | – | – | – | – | – | – | – | – | – | – | |||
ABT s.c. + MTX | – | – | – | – | – | – | – | – | – | – | – | – | – | – | ||
TOF5 + MTX | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | 3 |
TOF10 + MTX | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – | – |
Figure 23 presents the effects of each intervention relative to cDMARDs on the probit scale and Figure 24 and Table 42 present the probabilities of treatment rankings.
Intervention | Rank (mean) | Rank | |||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | ||
cDMARDs | 15.0 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.001 | 0.027 | 0.921 | 0.051 |
ABT i.v. + MTX | 9.7 | 0.000 | 0.002 | 0.007 | 0.015 | 0.030 | 0.051 | 0.079 | 0.109 | 0.133 | 0.146 | 0.158 | 0.148 | 0.089 | 0.032 | 0.000 | 0.000 |
ADA + MTX | 9.2 | 0.000 | 0.001 | 0.005 | 0.013 | 0.031 | 0.061 | 0.103 | 0.146 | 0.167 | 0.168 | 0.148 | 0.102 | 0.045 | 0.011 | 0.000 | 0.000 |
ADA | 12.2 | 0.001 | 0.002 | 0.004 | 0.007 | 0.013 | 0.020 | 0.028 | 0.030 | 0.036 | 0.046 | 0.058 | 0.093 | 0.241 | 0.405 | 0.016 | 0.000 |
Intensive cDMARDs | 12.0 | 0.001 | 0.003 | 0.005 | 0.010 | 0.017 | 0.024 | 0.030 | 0.035 | 0.042 | 0.051 | 0.067 | 0.099 | 0.245 | 0.358 | 0.013 | 0.001 |
ETN + MTX | 3.0 | 0.246 | 0.253 | 0.187 | 0.130 | 0.080 | 0.047 | 0.025 | 0.013 | 0.009 | 0.007 | 0.003 | 0.001 | 0.000 | 0.000 | 0.000 | 0.000 |
ETN | 6.3 | 0.035 | 0.073 | 0.102 | 0.118 | 0.130 | 0.118 | 0.092 | 0.076 | 0.063 | 0.058 | 0.054 | 0.054 | 0.023 | 0.004 | 0.000 | 0.000 |
GOL + MTX | 6.6 | 0.046 | 0.068 | 0.088 | 0.104 | 0.117 | 0.115 | 0.098 | 0.080 | 0.068 | 0.060 | 0.053 | 0.051 | 0.035 | 0.016 | 0.000 | 0.000 |
IFX + MTX | 8.9 | 0.001 | 0.006 | 0.017 | 0.032 | 0.058 | 0.091 | 0.113 | 0.122 | 0.124 | 0.125 | 0.120 | 0.108 | 0.062 | 0.020 | 0.000 | 0.000 |
PBO | 16.0 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.002 | 0.050 | 0.948 |
TCZ + MTX | 4.9 | 0.028 | 0.085 | 0.154 | 0.200 | 0.191 | 0.136 | 0.084 | 0.049 | 0.031 | 0.019 | 0.013 | 0.007 | 0.002 | 0.000 | 0.000 | 0.000 |
TCZ | 3.4 | 0.164 | 0.216 | 0.209 | 0.163 | 0.102 | 0.062 | 0.034 | 0.022 | 0.013 | 0.008 | 0.004 | 0.002 | 0.001 | 0.000 | 0.000 | 0.000 |
CTZ + MTX | 2.1 | 0.459 | 0.243 | 0.143 | 0.080 | 0.041 | 0.017 | 0.010 | 0.003 | 0.001 | 0.001 | 0.001 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 |
ABT s.c. + MTX | 8.3 | 0.012 | 0.026 | 0.037 | 0.054 | 0.073 | 0.096 | 0.106 | 0.107 | 0.100 | 0.097 | 0.095 | 0.093 | 0.068 | 0.036 | 0.000 | 0.000 |
TOF5 + MTX | 10.5 | 0.000 | 0.002 | 0.004 | 0.011 | 0.021 | 0.036 | 0.060 | 0.081 | 0.101 | 0.120 | 0.144 | 0.184 | 0.156 | 0.080 | 0.000 | 0.000 |
TOF10 + MTX | 7.7 | 0.006 | 0.019 | 0.038 | 0.064 | 0.095 | 0.125 | 0.139 | 0.125 | 0.111 | 0.094 | 0.083 | 0.060 | 0.031 | 0.010 | 0.000 | 0.000 |
There was some suggestion that model was not a good fit to all of the data, with the total residual deviance, 281.87, being larger than the total number of data points, 244, included in the analysis. The largest residual deviances, 14.8 and 14.21, were from the Kramer et al. study,137 which included patients who received prior biologics, and were from the cDMARDs arm, in which only one patient had an ACR20 response and two patients had an ACR50 response. The next largest residual deviances were 5.76 and 4.23 from the O’Dell et al. study,111 4.08 from the JESMR study140 and 3.86 from the ARMADA study. 69
The between-study SD was estimated to be 0.20 (95% CrI 0.12 to 0.31), which implies mild heterogeneity between studies in intervention effects. The exclusion of the AMBITION study55 had little impact on the estimate of the between-study SD from studies including patients who had received prior biologics.
All interventions except for PBO were associated with beneficial treatment effects relative to cDMARDs, with the greatest effects being associated with CTZ plus MTX, ETN plus MTX and TCZ. The treatment effects were statistically significant for all interventions except for PBO at a conventional 5% level. There was insufficient evidence to differentiate between treatments, although CTZ plus MTX (mean rank 2.1; probability of being the best 0.459) and ETN plus MTX (mean rank 3.0; probability of being the best 0.246) were the treatments that were most likely to be the most effective interventions. The exclusion of the AMBITION study55 has increased the treatment effects for ADA and TCZ (with and without MTX) back towards the effects estimated from the main studies alone, but shrunk the effect of ABT s.c. plus MTX.
A meta-analysis was used to estimate the proportion of patients experiencing an ACR ‘no response’ when treated with cDMARDs.
Data were available from 28 studies. 62,69,70,74–76,79,84,89,91,92,96,99,115–118,121,124,129–138,160
The model fitted the data well, with the total residual deviance, 28.26, close to the total number of data points, 28, included in the analysis.
The between-study SD was estimated to be 0.26 (95% CrI 0.18 to 0.37), which implies mild heterogeneity between studies in the baseline response.
Table 43 presents the probabilities of achieving at least an ACR20, ACR50 and an ACR70 response. These are derived by combining the treatment effects estimated from the NMA with the estimate of the cDMARDs ‘no response’ rate.
Intervention | At least ACR20 (95% CrI) | At least ACR50 (95% CrI) | At least ACR70 (95% CrI) |
---|---|---|---|
cDMARDs | 0.273 (0.238 to 0.311) | 0.114 (0.093 to 0.138) | 0.037 (0.028 to 0.047) |
ABT i.v. + MTX | 0.550 (0.442 to 0.657) | 0.316 (0.226 to 0.421) | 0.144 (0.090 to 0.217) |
ADA + MTX | 0.560 (0.472 to 0.648) | 0.325 (0.249 to 0.411) | 0.150 (0.103 to 0.209) |
ADA | 0.465 (0.284 to 0.651) | 0.244 (0.121 to 0.415) | 0.101 (0.039 to 0.212) |
Intensive cDMARDs | 0.473 (0.293 to 0.658) | 0.251 (0.125 to 0.422) | 0.105 (0.041 to 0.217) |
ETN + MTX | 0.689 (0.567 to 0.797) | 0.457 (0.331 to 0.589) | 0.244 (0.153 to 0.360) |
ETN | 0.619 (0.460 to 0.758) | 0.382 (0.241 to 0.539) | 0.188 (0.098 to 0.314) |
GOL + MTX | 0.613 (0.461 to 0.748) | 0.375 (0.241 to 0.527) | 0.183 (0.098 to 0.303) |
IFX + MTX | 0.566 (0.453 to 0.675) | 0.331(0.235 to 0.442) | 0.153 (0.095 to 0.232) |
PBO | 0.156 (0.064 to 0.307) | 0.053 (0.017 to 0.134) | 0.014 (0.003 to 0.046) |
TCZ + MTX | 0.643 (0.541 to 0.736) | 0.406 (0.308 to 0.512) | 0.205 (0.139 to 0.290) |
TCZ | 0.678 (0.561 to 0.781) | 0.443 (0.325 to 0.569) | 0.233 (0.150 to 0.340) |
CTZ + MTX | 0.714 (0.618 to 0.798) | 0.485 (0.380 to 0.591) | 0.267 (0.186 to 0.362) |
ABT s.c. + MTX | 0.574 (0.428 to 0.713) | 0.338 (0.215 to 0.484) | 0.158 (0.085 to 0.266) |
TOF5 + MTX | 0.534 (0.412 to 0.649) | 0.302 (0.204 to 0.413) | 0.135 (0.079 to 0.211) |
TOF10 + MTX | 0.586 (0.465 to 0.697) | 0.350 (0.243 to 0.466) | 0.166 (0.100 to 0.251) |
American College of Rheumatology: main trials plus randomised controlled trials that have potentially low prior methotrexate exposure
A NMA was used to compare the effects of ABT i.v. plus MTX, ADA (with and without MTX), intensive cDMARDs, ETN (with and without MTX), GOL plus MTX, IFX plus MTX, PBO, TCZ (with and without MTX), CTZ plus MTX and ABT s.c. plus MTX relative to cDMARDs on ACR response.
Data were available from 30 studies comparing two or three interventions. 53,54,57,58,62,66,69,70,74–76,79,80,84,85,89,91,92,96,99,102,105,112,115–118,121,122,124,140,160
Figure 25 presents the network of evidence and Table 44 presents the frequency with which each pair of treatments was compared. There were 13 treatment effects to estimate from 30 studies. 53,54,57,58,62,66,69,70,74–76,79,80,84,85,89,91,92,96,99,102,105,112,115–118,121,122,124,140,160
Intervention | cDMARDs | ABT i.v. + MTX | ADA + MTX | ADA | Intensive cDMARDs | ETN + MTX | ETN | GOL + MTX | IFX + MTX | PBO | TCZ + MTX | TCZ | CTZ + MTX | ABT s.c. + MTX |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
cDMARDs | – | 2 | 5 | 1 | 5 | 2 | 2 | 3 | 1 | 2 | 1 | |||
ABT i.v. + MTX | – | – | 1 | |||||||||||
ADA + MTX | – | – | – | 1 | ||||||||||
ADA | – | – | – | – | 2 | 1 | ||||||||
Intensive cDMARDs | – | – | – | – | – | 3 | ||||||||
ETN + MTX | – | – | – | – | – | – | 3 | 1 | ||||||
ETN | – | – | – | – | – | – | – | 1 | ||||||
GOL + MTX | – | – | – | – | – | – | – | – | ||||||
IFX + MTX | – | – | – | – | – | – | – | – | – | |||||
PBO | – | – | – | – | – | – | – | – | – | – | ||||
TCZ + MTX | – | – | – | – | – | – | – | – | – | – | – | 1 | ||
TCZ | – | – | – | – | – | – | – | – | – | – | – | – | ||
CTZ + MTX | – | – | – | – | – | – | – | – | – | – | – | – | – | |
ABT s.c. + MTX | – | – | – | – | – | – | – | – | – | – | – | – | – | – |
Figure 26 presents the effects of each intervention relative to cDMARDs on the probit scale and Figure 27 and Table 45 present the probabilities of treatment rankings.
Intervention | Rank (mean) | Rank | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | ||
cDMARDs | 12.83 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.001 | 0.015 | 0.167 | 0.791 | 0.026 |
ABT i.v. + MTX | 7.12 | 0.019 | 0.037 | 0.058 | 0.078 | 0.089 | 0.108 | 0.124 | 0.147 | 0.137 | 0.099 | 0.068 | 0.034 | 0.002 | 0.000 |
ADA + MTX | 5.48 | 0.020 | 0.068 | 0.109 | 0.159 | 0.174 | 0.165 | 0.127 | 0.095 | 0.054 | 0.025 | 0.010 | 0.001 | 0.000 | 0.000 |
ADA | 10.32 | 0.002 | 0.006 | 0.012 | 0.019 | 0.022 | 0.028 | 0.036 | 0.054 | 0.085 | 0.134 | 0.203 | 0.285 | 0.113 | 0.000 |
Intensive cDMARDs | 10.47 | 0.001 | 0.002 | 0.002 | 0.006 | 0.011 | 0.015 | 0.029 | 0.053 | 0.100 | 0.183 | 0.281 | 0.284 | 0.031 | 0.002 |
ETN + MTX | 5.48 | 0.020 | 0.056 | 0.105 | 0.148 | 0.170 | 0.176 | 0.151 | 0.103 | 0.057 | 0.012 | 0.002 | 0.000 | 0.000 | 0.000 |
ETN | 9.28 | 0.001 | 0.003 | 0.008 | 0.014 | 0.024 | 0.043 | 0.068 | 0.110 | 0.184 | 0.264 | 0.206 | 0.071 | 0.003 | 0.000 |
GOL + MTX | 4.91 | 0.122 | 0.125 | 0.136 | 0.120 | 0.108 | 0.094 | 0.085 | 0.076 | 0.061 | 0.039 | 0.025 | 0.011 | 0.001 | 0.000 |
IFX + MTX | 6.60 | 0.017 | 0.034 | 0.061 | 0.088 | 0.116 | 0.133 | 0.158 | 0.157 | 0.119 | 0.072 | 0.034 | 0.011 | 0.000 | 0.000 |
PBO | 13.96 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.001 | 0.005 | 0.025 | 0.968 |
TCZ + MTX | 3.28 | 0.269 | 0.224 | 0.157 | 0.102 | 0.072 | 0.055 | 0.047 | 0.032 | 0.023 | 0.012 | 0.006 | 0.002 | 0.000 | 0.000 |
TCZ | 2.95 | 0.251 | 0.275 | 0.178 | 0.108 | 0.074 | 0.046 | 0.032 | 0.021 | 0.011 | 0.004 | 0.001 | 0.000 | 0.000 | 0.000 |
CTZ + MTX | 7.18 | 0.082 | 0.066 | 0.068 | 0.065 | 0.061 | 0.066 | 0.074 | 0.085 | 0.104 | 0.101 | 0.103 | 0.094 | 0.027 | 0.003 |
ABT s.c. + MTX | 5.10 | 0.196 | 0.111 | 0.106 | 0.093 | 0.078 | 0.070 | 0.069 | 0.068 | 0.067 | 0.054 | 0.046 | 0.034 | 0.007 | 0.001 |
The model fitted the data well, with the total residual deviance, 198.62, close to the total number of data points, 192, included in the analysis. The largest residual deviances were 5.999 from the O’Dell et al. study111 and 3.913 from the Safety Trial for rheumatoid Arthritis with Remicade Therapy (START) study. 118
The between-study SD was estimated to be 0.30 (95% CrI 0.20 to 0.46), which implies mild heterogeneity between studies in intervention effects. The addition of the TEAR53 and TEMPO54 studies has increased the variability between treatment effects relative to that estimated from the main studies alone.
All interventions except for PBO were associated with beneficial treatment effects relative to cDMARDs with the greatest effects being associated with TCZ (with and without MTX). The treatment effects were statistically significant for all interventions except for CTZ plus MTX, ADA, intensive cDMARDs and PBO at a conventional 5% level. There was insufficient evidence to differentiate between treatments although TCZ (mean rank 2.95; probability of being the best 0.251) and TCZ plus MTX (mean rank 3.28; probability of being the best 0.269) were the treatments that were most likely to be the most effective interventions.
A meta-analysis was used to estimate the proportion of patients experiencing an ACR ‘no response’ when treated with cDMARDs.
Data were available from 20 studies. 53,54,62,69,70,74–76,79,84,89,91,92,96,99,115–118,121,124,160
The model fitted the data well, with the total residual deviance, 19.53, close to the total number of data points, 20, included in the analysis.
The between-study SD was estimated to be 0.37 (95% CrI 0.26 to 0.55), which implies mild to moderate heterogeneity between studies in the baseline response. The addition of the TEAR53 and TEMPO54 studies has increased the variability between studies in the CDMARDs ‘no response’ rate relative to that estimated from the main studies alone.
Table 46 presents the probabilities of achieving at least an ACR20, an ACR50 and an ACR70. These are derived by combining the treatment effects estimated from the NMA with the estimate of the cDMARDs ‘no response’ rate.
Intervention | At least ACR20 (95% CrI) | At least ACR50 (95% CrI) | At least ACR70 (95% CrI) |
---|---|---|---|
cDMARDs | 0.323 (0.264 to 0.389) | 0.136 (0.102 to 0.180) | 0.046 (0.031 to 0.067) |
ABT i.v. + MTX | 0.601 (0.410 to 0.767) | 0.351 (0.192 to 0.537) | 0.166 (0.073 to 0.309) |
ADA + MTX | 0.649 (0.509 to 0.771) | 0.400 (0.268 to 0.542) | 0.199 (0.113 to 0.315) |
ADA | 0.466 (0.228 to 0.713) | 0.234 (0.083 to 0.472) | 0.095 (0.024 to 0.256) |
Intensive cDMARDs | 0.473 (0.296 to 0.662) | 0.240 (0.120 to 0.412) | 0.098 (0.039 to 0.209) |
ETN + MTX | 0.645 (0.515 to 0.765) | 0.396 (0.273 to 0.534) | 0.197 (0.117 to 0.307) |
ETN | 0.526 (0.360 to 0.695) | 0.284 (0.160 to 0.450) | 0.123 (0.057 to 0.238) |
GOL + MTX | 0.670 (0.463 to 0.833) | 0.421 (0.232 to 0.629) | 0.216 (0.093 to 0.398) |
IFX + MTX | 0.614 (0.456 to 0.758) | 0.364 (0.227 to 0.525) | 0.175 (0.090 to 0.300) |
PBO | 0.136 (0.039 to 0.337) | 0.042 (0.008 to 0.146) | 0.010 (0.001 to 0.050) |
TCZ + MTX | 0.723 (0.524 to 0.870) | 0.483 (0.280 to 0.689) | 0.264 (0.121 to 0.462) |
TCZ | 0.729 (0.563 to 0.857) | 0.489 (0.316 to 0.666) | 0.268 (0.142 to 0.437) |
CTZ + MTX | 0.593 (0.300 to 0.839) | 0.343 (0.122 to 0.637) | 0.160 (0.040 to 0.406) |
ABT s.c. + MTX | 0.670 (0.383 to 0.883) | 0.422 (0.175 to 0.710) | 0.216 (0.063 to 0.487) |
Discussion of systematic reviewing results
This review differed from other reviews of biologics in RA,123,161–172 in that it included only licensed doses of biologics, was limited to first-line biologics, and considered separately MTX-naive and cDMARD-experienced trials.
Sixty trials met the inclusion criteria for the systematic review of clinical effectiveness and safety evidence. Of these, 38 trials were also used in the NMA56–126,141,160 (eight for population 1 and 30 for populations 2 and 3).
Seven MTX-naive trials78,81–83,87,90,94,108,109 and 24 cDMARD-experienced trials57,58,61–65,68–70,74–76,79,80,84,85,88,89,91,92,96,97,99,102,104,105,111,112,115–119,121,122,124,141,160 (of which four were head-to-head evidence58,66,74,85) were included in the NMA for ACR response. One MTX-naive trial and 15 cDMARD experienced trials were included in the NMA for EULAR data.
In addition, 14 trials (12 trials with interventions of interest53–55,127–136 and two TOF trials137,138) were included in sensitivity analyses for populations 2 and 3 (all 14 with ACR data and 3 with EULAR data). Two of these trials (presenting ACR data only) were used in sensitivity analyses for population 1. 53,54
Many of the trials were of good quality (see Figure 3). They were mostly Phase III trials. Some trials did not report in enough detail to judge randomisation method or allocation concealment, or if all outcomes were reported. Further details regarding study quality are provided in Table 333 (see Appendix 4).
There were several large, multinational, multicentre studies. A few trials were conducted in a single country. For the cDMARD-experienced population, some trial populations may not have had adequate MTX to class as failure. Of particular note, for populations 2 and 3, are the trials that were conducted in Japan only, as some of these trials also utilised low-dose MTX treatment prior to randomisation, potentially impacting on the extent of MTX failure among trial populations and restricting external validity to the UK. Further details regarding geographical location are provided in Tables 335–338 (see Appendix 4). Based on the results shown within the company submissions made by AbbVie173 and MSD,159,174 which did not show a marked difference when Asian studies were excluded, no formal analyses were undertaken removing such studies.
The issues relating to the external validity of RCTs in RA, including (1) the application of strict trial inclusion criteria resulting in narrower study populations relative to RA clinical practice and (2) the limitations of RCTs in general in capturing rare AEs, have been previously discussed and should be borne in mind when considering the generalisability of the trial evidence. 175,176 Some trials had step-up therapy, which in the opinion of our clinical advisors is consistent with real-world practice.
Strengths of this systematic review included the undertaking of a comprehensive search for evidence; the extensive number of RCTs that were identified relating to the decision problem; data were identified for all interventions of interest; there were long-term safety data from LTEs of trials; trials that were not eligible for inclusion in the systematic review or NMA base case (e.g. trials with populations having ≤ 20% prior biologic experience) were explored in sensitivity analyses; and graphical data for the NMA were extracted using Engauge version 4.1.
Limitations of the review included evidence was restricted to English-language publications; ongoing/unpublished trial resources could not be explored owing to the time scales of the assessment; some studies (and consequently some interventions) could not be included in a NMA of EULAR outcome data where this was not reported; and, owing to the extensive variability in the range of available outcome measures reported in trials, it was necessary to prioritise the assessment of the most widely used measures.
Although there was uncertainty in, and overlap between, the effects of treatment on ACR for interventions for patients in population 1, IFX plus MTX was associated with the biggest increase in response rate and this was likely to be the most effective intervention. Other interventions were less effective and appeared to fall into three groups: (1) ETN plus MTX, intensive cDMARDs and ADA plus MTX; (2) GOL plus MTX, ETN and step-up intensive cDMARDs; and (3) CDMARDs and ADA.
Although there was uncertainty in, and overlap between, the effects of treatment on EULAR for interventions in populations 2 and 3 in the main trials, TCZ, TCZ plus MTX and ETN plus MTX were associated with the biggest increase in response rate. Other interventions were less effective and appeared to fall into two groups: (1) GOL plus MTX, CTZ plus MTX, ADA, grouped biologics, ETN, ADA plus MTX, ABT i.v. plus MTX and IFX plus MTX; and (2) intensive cDMARDs, PBO and cDMARDs. The inclusion of the additional studies in which patients received prior biologics resulted in broadly the same groupings, although the effect of CTZ plus MTX was much greater and similar to that for TCZ, TCZ plus MTX and ETN plus MTX.
Although there was uncertainty in, and overlap between, the effects of treatment on ACR for interventions in populations 2 and 3 in the main trials, ETN plus MTX, TCZ and TCZ plus MTX, were associated with the biggest increase in response rate. Other interventions were less effective and appeared to fall into two groups: (1) ETN, GOL plus MTX, ABT s.c. plus MTX, ADA plus MTX, INF plus MTX, CTX plus MTX and ATB i.v. plus MTX; and (2) intensive cDMARDs, ADA and cDMARDs. The inclusion of the additional studies in which patients received prior biologics suggested resulted in a greater estimate of the effect of CTZ plus MTX. Other interventions appeared to give rise to broadly similar response rates.
Other efficacy outcomes
Population 1: methotrexate naive
Where there was step-up therapy with initial biologic or control, the groups were similar after 6 months to a year (i.e. after step-up). Biologic monotherapy was better than PBO, but similar to MTX. Biologic combined with MTX was better than MTX plus PBO.
Populations 2 and 3: conventional disease-modifying antirheumatic drugs experienced
Head-to-head trials indicate similarity of biologics. One exception was the ADACTA trial. 58
This reported greater improvement with TCZ monotherapy than ADA monotherapy for DAS and mental component summary of SF-36 at 24 weeks,58 although this trial had similar results for ADA and TCZ for swollen and tender joint counts, and fatigue. This suggests that the impacts of different biologics on different outcomes may not be straightforward.
Biologics combined with MTX treatment arms reported more improvement than non-biologic control arms with one or two cDMARDs or baseline cDMARDs. Biologics combined with MTX did better than biologic monotherapy, except for TCZ for joint counts and HAQ-DI.
Chapter 4 Assessment of cost-effectiveness
Systematic review of existing cost-effectiveness evidence
The Assessment Group conducted a systematic review of published economic evaluations undertaken of the RA interventions being assessed. The objective of this systematic review is to summarise the existing economic evidence for the use of each intervention in patients with RA. The systematic review will assess the strengths and limitations of each specific economic evaluation.
Methods for reviewing existing cost-effectiveness evidence
Systematic searches of online databases were undertaken to identify all published economic evaluations of disease-modifying therapies for RA. To ensure that the systematic search had high sensitivity, the search was developed by applying economic terms to a general disease search for RA and disease-modifying therapies. Database filters to identify economic evaluations were used from the InterTASC Information Specialists’ Sub-Group website [www.york.ac.uk/inst/crd/intertasc/index.htm (accessed 5 July 2013)]. The keywords used for the systematic review are provided in Table 47.
Population | RA |
---|---|
Intervention/comparator | Disease modifying, disease-modifying, DMARD, biologic, therapy, treatment, anti-rheumatic, anti rheumatic, TNF, tumor necrosis factor alpha, tumour necrosis factor alpha, TNF-alpha, TNF inhibitor, TNF blocker, interleukin 1, IL-1, monoclonal antibody, costimulation blocker, interleukin 6, IL-6 |
Outcomes | Economic, economics, cost, cost-effectiveness, cost-utility, cost-benefit, utility, health related quality of life, quality of life, quality adjusted life year, QALY |
The search strategies used medical subject heading terms, including ‘rheumatoid arthritis’ and ‘economics’ and text string terms, which were combined in the search strategy using Boolean logic. The search strategies were designed to maximise sensitivity (i.e. the identification of all appropriate studies); however, this was at the cost of poor specificity (the rejection of inappropriate studies). This meant the search returned a lot of inappropriate studies and was reliant on hand-sifting, including the removal of economic evaluations of treatments that are not included in this appraisal (RTX, conventional DMARDs, anakinra, etc.).
Systematic searches were conducted in 10 databases provided in Table 48. Reference search was undertaken on all included studies, including any identified reviews of published economic evaluations of disease-modifying therapies for RA.
Database | Date |
---|---|
Bioscience Information Service (all databases) | 1899–February 2013 |
Cochrane Database of Systematic Reviews | All years–February 2013 |
Cochrane Database of Methodological Reviews | All years–February 2013 |
Cochrane Central Register of Controlled Trials | All years–February 2013 |
Database of Abstracts of Reviews and Effects | All years–February 2013 |
CINAHL | 1994–February 2013 |
EMBASE | 1974–February 2013 |
MEDLINE | 1945–February 2013 |
NHS Economic Evaluations Database | All years–February 2013 |
Science Citation Index: Web of Science | 1899–February 2013 |
All database searches were undertaken on 1 February 2013 and no date restriction was applied. No study type or language restrictions were applied to the electronic search. The search strategies were reviewed by an information specialist.
The objective of the systematic search was to identify economic evaluations of ABT, ADA, CTZ, ETN, GOL, IFX and TCZ within populations 1, 2 and 3. The search was irrespective of the decision-making context or the geographical location. The eligibility criteria are presented in Box 1.
Economic evaluation including a comparison of costs and benefits based on outcomes data or undertaken using decision-analytic methods.
Economic evaluations of interventions targeting a change to the natural disease profile of people with RA (i.e. disease-modifying therapies).
Studies reporting costs and health outcomes.
Exclusion criteriaEvaluations of treatments not under review in this appraisal.
Evaluations in patient populations not under review in this appraisal (e.g. sequential biologics).
Partial or non-comparative economic evaluations.
Cost analyses/cost-of-illness/burden-of-illness studies.
Methodological papers that do not report economic and health benefit outcomes.
Commentaries, letters, editorials.
Conference abstracts.
Studies that claim cost-effectiveness, but with no empirical estimation of the costs and effectiveness outcomes.
Economic evaluations of therapies and treatments which do not modify the natural progression of RA.
Non-English language.
The identified studies were appraised using the commonly used and validated Drummond checklist. 177
Results
From the systematic searching of electronic databases, 8281 citations were identified (Figure 28). After excluding 3250 duplicate citations electronically, the remaining 5031 citations were screened by their abstract. Of these, 4913 abstracts did not meet the inclusion criteria and 118 full-text papers were retrieved for a full inspection. A total of 97 papers were excluded for not meeting the inclusion criteria, and nine other studies were identified by reference searches and searching any identified systematic reviews. A total of 30 studies were included in the systematic review.
The studies identified are summarised in Table 49. Twenty-three of the 30 studies (77%) were evaluations of bDMARDs in patients who had already had DMARD therapy previously. Six studies (20%) were in DMARD-naive patients, with one study (3%) in both DMARD-naive and -experienced populations.
Study | Treatment history | Disease severity | Country (sponsor) | Interventions considered | Form of economic analysis | Model used | Time horizon |
---|---|---|---|---|---|---|---|
Bansback et al., 2005178 | Two cDMARDs | Moderate/severe | Sweden (Abbott) | TNF-α with or without MTX vs. cDMARDs | CUA | Individual-level Markov model | Lifetime |
Barbieri et al., 2005179 | cDMARDs and resistant to MTX | Severe | UK (Schering-Plough) | IFX + MTX vs. MTX | CUA | Markov model | 1 year and lifetime |
Barton et al., 2004180 | SSZ and MTX | Unclear | UK (HTA) | ETN vs. IFX vs. cDMARD sequence | CUA | Individual sampling model | Lifetime |
Benucci et al., 2009181 | Two cDMARDs | Moderate/severe | Italy (none reported) | ABT with LEF or MTX vs. ETN with LEF or MTX | CUA | Observational analysis | 2 years |
Brennan et al., 2004182 | Two cDMARDs | Unclear | UK (Wyeth) | ETN vs. cDMARD sequence | CUA | Individual sampling model | Lifetime |
Brennan et al., 2007183 | At least two cDMARDs | Active | UK (BSRBR) | TNF-α vs. cDMARDs | CUA | Individual sampling model | Lifetime |
Chen et al., 2006123 | None (at least for first-line comparators) | Active | UK (HTA) | TNF-α with or without MTX at first line or third line | CUA | Individual sampling model | Lifetime |
Chiou et al., 2004184 | Unclear | Moderate/severe | USA (none reported) | AKR vs. ETN vs. ADA vs. IFX | CUA | Decision tree | 1 year |
Choi et al., 2002185 | MTX | Unclear | USA (no funding source) | cDMARD monotherapy and combination vs. bDMARD monotherapy and combination | CEA | Decision tree | 6 months |
Coyle et al., 2006186 | None | Aggressive | Canada (CCOHTA) | GLD vs. bDMARD monotherapy and combination | CUA | Markov model | 5 years |
Davies et al., 2009187 | None | Unclear | USA (Abbott) | MTX vs. ADA + MTX vs. ETN vs. IFX + MTX vs. ADA + MTX | CUA | Individual sampling model | Lifetime |
Diamantopoulos et al., 2012188 | cDMARDs | Moderate/severe | Italy (Roche) | Sequential bDMARD use | CUA | Individual sampling model | lifetime |
Finckh et al., 2009189 | None | Active | USA (Arthritis Foundation) | Symptomatic therapy vs. MTX vs. bDMARDs | CUA | Individual sampling model | Lifetime |
Jobanputra et al., 2002172 | SSZ and MTX | Active | UK (HTA) | Adding ETN and IFX into a cDMARD sequence | CUA | Individual sampling model | Lifetime |
Kobelt et al., 2003190 | cDMARDs including MTX IR | Unclear, ‘advanced’ | Sweden, UK (Schering-Plough) | IFX + MTX vs. MTX | CUA | Markov model | 10 year |
Kobelt et al., 2004191 | Two cDMARDs including MTX IR | Unclear | Sweden (multiple funders) | TNF-α vs. cDMARDs | CUA | Trial analysis | 1 year |
Kobelt et al., 2005192 | cDMARDs other than MTX | Severe | Sweden (Wyeth) | ETN vs. MTX vs. ETN + MTX | CUA | Markov model | 5 years/10 years |
Kobelt et al., 2011193 | None | Severe | Sweden (Wyeth) | ETN + MTX vs. MTX | CUA | Markov model | 10 years |
Lekander et al., 2010194 | No TNF-αs | Active | Sweden (Schering-Plough) | IFX vs. cDMARDs | CUA | Markov model | 20 years |
Marra et al., 2007195 | cDMARDs | Active | Canada (none reported) | IFX + MTX vs. MTX | CUA | Markov model | 10 years |
Nuijten et al., 2001196 | Two cDMARDs | Unclear | The Netherlands (Wyeth) | ETN vs. IFX | CMA | Unclear | 1 year |
Rubio-Terrés and Dominguez-Gil, 2001197 | cDMARDs (including MTX) | Active | Spain (none reported) | IFX + MTX vs. LEF | CMA | Unclear | 1 year |
Soini et al., 2012198 | At least one cDMARD | Moderate/severe | Finland (Roche) | ADA vs. ETN vs. TCZ | CUA | Individual sampling model | Lifetime |
Spalding and Hay, 2006199 | None | Unclear | USA (University of Southern California) | MTX vs. bDMARD monotherapy and combination | CUA | Markov model | Lifetime |
Tanno et al., 2006200 | Bucillamine | Unclear | Japan (Japanese Government) | Adding ETN to a cDMARD sequence | CUA | Markov model | Lifetime |
van den Hout et al., 2009201 | None | Active | The Netherlands (multiple funders) | Comparing cDMARD combination vs. IFX combination therapy | CUA | Trial analysis | 2 years |
Vera-Llonch et al., 2008202 | MTX | Moderate/severe | USA (none reported) | ABT vs. cDMARDs | CUA | Individual sampling model | Lifetime |
Wailoo et al., 2008203 | No bDMARDs | Unclear | USA (US AHRQ) | ETN vs. ADA vs. AKR vs. IFX | CUA | Individual sampling model | Lifetime |
Welsing et al., 2004204 | cDMARDs | Active | The Netherlands (none reported) | Usual care vs. LEF vs. TNF-α vs. LEF, TNF-α sequences | CUA | Markov model | 5 years |
Wong et al., 2002205 | MTX | Active refractory disease | USA (Schering-Plough, NIH) | IFX + MTX vs. MTX | CUA | Markov model | Lifetime |
No studies were identified that evaluated GOL and CTZ, with the majority focusing on ETN, IFX and ADA.
A total of 27 of the 30 studies (90%) were cost–utility analyses and a wide range of model methods and time horizons were adopted.
For ease of reading, the cost-effectiveness results are split into cDMARD-naive (Table 50) and bDMARD-naive (Table 51) populations.
Drug | Comparator | Study | Price year | Time horizon | Previous treatments | ICER (per QALY gained) |
---|---|---|---|---|---|---|
ADA | MTX | Spalding and Hay, 2006199 | 2005 | Lifetime | None | US$64,000 |
cDMARDs | Chen et al., 2006123 | 2004 | Lifetime | None | £53,000 | |
ADA + MTX | MTX | Spalding and Hay, 2006199 | 2005 | Lifetime | None | US$195,000 |
cDMARDs | Davies et al., 2009187 | 2007 | Lifetime | None | US$23,000 | |
cDMARDs | Chen et al., 2006123 | 2004 | Lifetime | None | £170,000 | |
ETN | MTX | Spalding and Hay, 2006199 | 2005 | Lifetime | None | US$90,000 |
cDMARDs | Chen et al., 2006123 | 2004 | Lifetime | None | £49,000 | |
cDMARDs | Davies et al., 2009187 | 2007 | Lifetime | None | US$28,000 | |
ETN + MTX | MTX | Kobelt et al., 2011193 | 2008 | 10 years | None | €14,000 |
cDMARDs | Coyle et al., 2006186 | ? | 5 years | None | Before/after GLD = CA$145,000/CA$126,000 | |
cDMARDs | Chen et al., 2006123 | 2004 | Lifetime | None | £78,000 | |
IFX + MTX | MTX | Spalding and Hay, 2006199 | 2005 | Lifetime | None | US$410,000 |
cDMARDs | Coyle et al., 2006186 | ? | 5 years | None | Before/after GLD = CA$113,000/CA$98,000 | |
cDMARDs | Davies et al., 2009187 | 2007 | Lifetime | None | US$32,000 | |
cDMARDs | Chen et al., 2006123 | 2004 | Lifetime | None | £650,000 | |
Combination cDMARDs | van den Hout et al., 2009201 | 2008 | 2 years | None | €130,000 | |
TNF-α | cDMARDs | Finckh et al., 2009189 | 2007 | Lifetime | None | Dominated |
Drug | Comparator | Study | Price year | Time horizon | Previous treatments | ICER (per QALY gained) |
---|---|---|---|---|---|---|
ABT i.v. + MTX | MTX | Vera-Llonch et al., 2008202 | 2006 | Lifetime | MTX | US$46,000 |
ADA | MTX | Bansback et al., 2005178 | 2001 | Lifetime | Two previous cDMARDs | €42,000 |
cDMARDs | Chen et al., 2006123 | 2004 | Lifetime | Two previous cDMARDs | £35,000–140,000 | |
Anakinra | Chiou et al., 2004184 | 2003 | 1 year | Unclear | Dominated | |
Anakinra | Wailoo et al., 2008203 | ? | Lifetime | No bDMARDs | US$143,000 | |
IFX + MTX | Wailoo et al., 2008203 | ? | Lifetime | No bDMARDs | Dominates | |
ADA + MTX | MTX | Bansback et al., 2005178 | 2001 | Lifetime | Two previous cDMARDs | €34,000 |
MTX | Soini et al., 2012198 | 2010 | Lifetime | At least one cDMARD | €21,000 | |
cDMARDs | Chen et al., 2006123 | 2004 | Lifetime | Two previous cDMARDs | £30,000–64,000 | |
Anakinra | Chiou 2004184 | 2003 | 1 year | Unclear | Dominated | |
ETN | MTX | Bansback et al., 2005178 | 2001 | Lifetime | Two previous cDMARDs | €37,000 |
MTX | Tanno et al., 2006200 | 2005 | Lifetime | Bucillamine | Yen 2.5M | |
MTX | Kobelt et al., 2005192 | 2004 | 5 years/10 years | cDMARDs other than MTX | 5 years/10 years = €152,000/124,000 | |
cDMARDs | Chen et al., 2006123 | 2004 | Lifetime | Two previous cDMARDs | £24,000–47,000 | |
Anakinra | Chiou et al., 2004184 | 2003 | 1 year | Unclear | US$13,000 | |
IFX + MTX | Nuijten et al., 2001196 | 1999 | 1 year | Two cDMARDs | Dominates | |
ETN + MTX and cDMARD strategies | Choi et al., 2002185 | 1999 | 6 months | MTX | Extendedly dominated | |
ETN + MTX | MTX | Bansback et al., 2005178 | 2001 | Lifetime | Two previous cDMARDs | €36,000 |
MTX | Soini et al., 2012198 | 2010 | Lifetime | At least one cDMARD | €21,000 | |
MTX | Kobelt et al., 2005192 | 2004 | 5 years/10 years | cDMARDs other than MTX | 5 years/10 years = €55,000/37,000 | |
cDMARDs | Barton et al., 2004180 | 2000 | Lifetime | SSZ and MTX | £50,000 | |
cDMARDs | Brennan et al., 2004182 | 2000 | Lifetime | Two cDMARDs | £16,000 | |
cDMARDs | Jobanputra et al., 2002172 | 2000 | Lifetime | SSZ and MTX | £64,000 | |
cDMARDs | Chen et al., 2006123 | 2004 | Lifetime | Two previous cDMARDs | £24,000–50,000 | |
Anakinra | Chiou et al., 2004184 | 2003 | 1 year | Unclear | US$8000 | |
ADA + MTX | Benucci et al., 2009181 | ? | 2 years | Two cDMARDs | US$25,000 | |
ADA + MTX | Wailoo et al., 2008203 | ? | Lifetime | No bDMARDs | US$92,000 | |
IFX + MTX | Wailoo et al., 2008203 | ? | Lifetime | No bDMARDs | Dominates | |
IFX + MTX | Barton et al., 2004180 | 2000 | Lifetime | SSZ and MTX | £28,000 | |
IFX + MTX | Jobanputra et al., 2002172 | 2000 | Lifetime | SSZ and MTX | £35,000 | |
IFX + MTX | Nuijten et al., 2001196 | 1999 | 1 year | Two cDMARDs | Dominates | |
ETN | Choi et al., 2002185 | 1999 | 6 months | MTX | US$43,000 (per ACR20 response), US$35,000 (per ACR70 response) | |
IFX + MTX | MTX | Bansback et al., 2005178 | 2001 | Lifetime | Two previous cDMARDs | €48,000 |
MTX | Barbieri et al., 2005179 | 2000 | 1 year/lifetime | cDMARDs and resistant to MTX | £34,000 (1 year), £24,000 (lifetime) | |
MTX | Kobelt et al., 2003190 | ? | 10 years | cDMARDs including MTX IR | £22,000 | |
MTX | Marra et al., 2007195 | 2002 | 10 years | cDMARDs | US$46,000 | |
MTX | Wong et al., 2002205 | 1998 | Lifetime | MTX | US$307,000 | |
LEF | Rubio-Terrés et al., 2001197 | 1999 | 1 year | cDMARDs (including MTX) | Dominated (CMA) | |
cDMARDs | Barton et al., 2004180 | 2000 | Lifetime | SSZ and MTX | £68,000 | |
cDMARDs | Jobanputra et al., 2002172 | 2000 | Lifetime | SSZ and MTX | £89,000 | |
cDMARDs | Lekander et al., 2010194 | 2007 | 20 years | No TNF-αs | €23,000 | |
cDMARDs | Chen et al., 2006123 | 2004 | Lifetime | Two previous cDMARDs | £30,000–140,000 | |
Anakinra | Chiou et al., 2004184 | 2003 | 1 year | Unclear | Dominated | |
ADA + MTX | Wailoo et al., 2008203 | ? | Lifetime | No bDMARDs | Dominated | |
ETN + MTX | Wailoo et al., 2008203 | ? | Lifetime | No bDMARDs | Dominated | |
TCZ + MTX | ETA + MTX | Diamantopoulos et al., 2012188 | 2009 | Lifetime | cDMARDs | Dominates |
ADA + MTX | Diamantopoulos et al., 2012188 | 2009 | Lifetime | cDMARDs | Dominates | |
IFX + MTX | Diamantopoulos et al., 2012188 | 2009 | Lifetime | cDMARDs | €3000 | |
Add TCZ into first biologic position | Diamantopoulos et al., 2012188 | 2009 | Lifetime | cDMARDs | €17,000 | |
MTX | Soini et al., 2012198 | 2010 | Lifetime | At least one cDMARD | €19,000 | |
Grouped bDMARDs | cDMARD | Brennan et al., 2007183 | 2004 | Lifetime | At least two cDMARDs | £24,000 |
Previous years’ DMARD use | Kobelt et al., 2004191 | 2002 | 1 year | Two cDMARDs including MTX IR | €44,000 | |
TNF-α | LEF | Welsing et al., 2004204 | ? | 5 years | cDMARDs | €544,000 |
The range of price year, currencies, discount rates and time horizons means that drawing strong conclusions regarding the cost-effectiveness of particular therapies is not possible, and would probably be misleading. In addtition, the complex nature of RA and the range of parameters required to develop a cost-effectiveness model mean that a very detailed review of each study would be required, which was not feasible. In some instances, the price year was not reported, and in a few cases it was not clear if bDMARDs were given with concomitant MTX or if they were a monotherapy. Results in GBP are all above the £30,000 per quality-adjusted life-year (QALY) threshold.
In general, the results in Table 51 suggest that bDMARDs are unlikely to be cost-effective in patients who have not undertaken DMARD therapy.
Like the DMARD-naive population, it is not possible to provide conclusions regarding the cost-effectiveness of individual treatments in the bDMARD-naive population.
Many bDMARDs have incremental cost-effectiveness ratios (ICERs) close to £30,000 per QALY threshold. No one bDMARD consistently seems to be cost-effective compared with any other bDMARD.
Jobanputra et al. ,172 Barton et al. 180 and Chen et al. 123 are HTA reports which informed the development of NICE TA36206 and TA130. 207 Taking the most recent HTA report by Chen et al. ,123 ADA, ADA plus MTX, ETN, ETN plus MTX and IFX plus MTX all have ICERs compared with cDMARDs exceeding £20,000 per QALY, and in many instances above £30,000 per QALY. However, these drugs have since been recommended in certain patient populations. This highlights the sensitivity of cost-effectiveness models to key parameters and modelling assumptions, and careful consideration of all aspects is required to ensure confidence in the final reported ICERs.
Critique of the manufacturers’ submissions
The Assessment Group received submissions for seven interventions. 152,156,159,173,174,208,209 These were from six manufacturers as both GOL and IFX are manufactured by MSD. The submission by Bristol-Myers Squibb evaluated both the i.v. and s.c. formulations of ABT. The length and quality of the submissions varied. For information, Figure 29 details the number of pages within each manufacturer’s submission. In addition, each submission contained a mathematical model.
An initial review of the submissions indicated that there were a multitude of methods employed and that attempting to summarise all seven submissions individually would probably not aid the reader. With this aim, the submissions have been summarised jointly under a number of categories to allow the reader to compare and contrast the methodologies used. This would remove the need for cross-referencing were the reader wanting to know the different assumptions made for a key variable or to quickly compare outputs from the model. Formal evaluation of these models using checklists such as the British Medical Journal (BMJ) or Eddy checklists210,211 was not possible within the time scales of the assessment; however, clear deviances from recommended methods have been outlined in the critique.
Where appropriate, tables and figures will be taken from the manufacturers’ submissions. Minor amendments, such as to the intervention abbreviations, have been made to ensure consistency throughout the report, where possible.
The broad headings chosen were the:
-
decision problem addressed
-
strategies modelled
-
model structure/time cycle
-
time horizon
-
perspective
-
discounting
-
population characteristics
-
the assumed costs of the interventions
-
costs of administration and monitoring
-
comparative treatment efficacy (NMAs)
-
responder criteria
-
HAQ/EQ-5D changes in relation to response levels
-
HAQ trajectory following initial response
-
time to discontinuation of treatment
-
rebound post treatment
-
assumed NHS costs per HAQ band
-
utility related to HAQ
-
assumed costs and disutilities associated with AEs
-
mortality associated with RA
-
cost-effectiveness results
-
cost implications within England and Wales.
Decision problem addressed
Table 52 summarises the decision problems addressed within the manufacturers’ submissions for those drugs that are licensed as monotherapy and for those that cannot. No detailed information is given in the tables which serve as reference only, with subtleties regarding each analysis provided in later sections. Four interventions (ABT i.v., ABT s.c., CTZ and TCZ) are not licensed before the use of MTX. Four interventions (ABT i.v., ABT s.c., GOL and IFX) are not licensed as monotherapy.
Analysis | Decision problem | Assessment group’s interpretation of the scope | Manufacturer | ||||||
---|---|---|---|---|---|---|---|---|---|
AbbVie (ADA) | Bristol-Myers Squibb (ABT) | MSD (GOL) | MSD (IFX) | Pfizer (ETN) | Roche (TCZ) | UCB Pharma (CTZ) | |||
1 | Population 2 in combination with MTX | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ||
2 | Population 3 in combination with MTX | ✓ | ✓ | ✓ | ✓ | ||||
3 | Population 1 in combination with MTX | ✓ | ✓ | ✓ | |||||
4 | Population 2 monotherapy | ✓ | ✓ | ✓ | ✓ | ||||
5 | Population 3 monotherapy | ✓ | ✓ | ✓ | |||||
6 | Population 1 monotherapy | ✓ | ✓ | ||||||
7 | General RA population who can tolerate MTXa | ✓ | ✓ | ✓ | |||||
8 | MTX intolerant or contraindicated RA populationb | ✓ |
Summary
It is seen that there was considerable variation in the decision problems addressed by the manufacturers with only the submissions by AbbVie and UCB Pharma evaluating all the subgroups within both the scope and the licence of their product.
Strategies modelled
The strategies modelled for each submission have been detailed individually for each manufacturer collated by the analyses numbers provided in Decision problem addressed. These are:
-
population 3 in combination with MTX
-
population 2 in combination with MTX
-
population 1 in combination with MTX
-
population 3 monotherapy
-
population 2 monotherapy
-
population 1 monotherapy
-
general RA population who can receive MTX
-
MTX intolerant or contraindicated RA population.
In summary, most strategies appeared reasonable, although it is noted that there were a few anomalies compared with NICE guidance or intervention licences:
-
MSD (GOL and IFX) and UCB Pharma (CTZ) assumed that TCZ would not be used following RTX.
-
MSD assumed in one strategy that RTX could be used without a bDMARD having been provided previously.
-
Pfizer (ETN) assumed that ABT i.v. would be used third line if TCZ was used first line.
-
Roche (TCZ) assumed a standard sequence of care for those intolerant or contraindicated to MTX that included three lines of bDMARDs, and evaluated only one sequence where TCZ was inserted as the first-line treatment to create four lines of bDMARDs.
-
Importantly, UCB Pharma did not compare with a cDMARD-only option for analyses 1 and 4.
AbbVie
The strategies employed in the AbbVie submission are contained in Tables 53–56. These appear appropriate, although it is noted that ‘rescue’ treatment was not explicitly defined by the manufacturer.
Treatment number | Sequence number | |||||||
---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | |
1 | LEF | ADA + MTX | ETN + MTX | IFX + MTX | CTZ + MTX | GOL + MTX | ABT + MTX | TCZ + MTX |
2 | SSZ | RTX + MTX | RTX + MTX | RTX + MTX | RTX + MTX | RTX + MTX | RTX + MTX | RTX + MTX |
3 | CYC | TCZ + MTX | TCZ + MTX | TCZ + MTX | TCZ + MTX | TCZ + MTX | TCZ + MTX | LEF |
4 | Rescue | LEF | LEF | LEF | LEF | LEF | LEF | SSZ |
5 | SSZ | SSZ | SSZ | SSZ | SSZ | SSZ | CYC | |
6 | CYC | CYC | CYC | CYC | CYC | CYC | Rescue | |
7 | Rescue | Rescue | Rescue | Rescue | Rescue | Rescue |
Treatment number | Sequence number | |||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | |
1 | MTX | ADA + MTX | ETN + MTX | IFX + MTX | GOL + MTX | MTX + HCQ |
2 | SSZ | RTX + MTX | RTX + MTX | RTX + MTX | RTX + MTX | ADA + MTX |
3 | HCQ | TCZ + MTX | TCZ + MTX | TCZ + MTX | TCZ + MTX | RTX + MTX |
4 | LEF | LEF | LEF | LEF | LEF | TCZ + MTX |
5 | CYC | SSZ | SSZ | SSZ | SSZ | LEF |
6 | Rescue | CYC | CYC | CYC | CYC | SSZ |
7 | Rescue | Rescue | Rescue | Rescue | CYC | |
8 | Rescue |
Treatment number | Sequence number | ||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |
1 | SSZ + HCQ | ADA | ETN | CTZ | TCZ |
2 | LEF | LEF | LEF | LEF | LEF |
3 | SSZ | SSZ | SSZ | SSZ | SSZ |
4 | CYC | CYC | CYC | CYC | CYC |
5 | Rescue | Rescue | Rescue | Rescue | Rescue |
Treatment number | Sequence number | |||
---|---|---|---|---|
1 | 2 | 3 | 4 | |
1 | SSZ + HCQ | ADA | ETN | SSZ + HCQ |
2 | LEF | LEF | LEF | ADA |
3 | SSZ | SSZ | SSZ | LEF |
4 | CYC | CYC | CYC | SSZ |
5 | Rescue | Rescue | Rescue | CYC |
6 | Rescue |
Bristol-Myers Squibb
The strategies employed in the Bristol-Myers Squibb submission are contained in Table 57. These appear appropriate.
Sequences | |||||||||
---|---|---|---|---|---|---|---|---|---|
1 | LEF | ABT i.v. + MTX | ABT s.c. + MTX | ADA + MTX | CTZ + MTX | ETN + MTX | GOL + MTX | IFX + MTX | TCZ + MTX |
2 | GLD | RTX + MTXa | RTX + MTXa | RTX + MTXa | RTX + MTXa | RTX + MTXa | RTX + MTXa | RTX + MTXa | RTX + MTXa |
3 | CYC | TCZ + MTXb | TCZ + MTXb | TCZ + MTXb | TCZ + MTXb | TCZ + MTXb | TCZ + MTXb | TCZ + MTXb | LEF |
4 | AZA | LEF | LEF | LEF | LEF | LEF | LEF | GLD | GLD |
5 | PC | GLD | GLD | GLD | GLD | GLD | GLD | CYC | CYC |
6 | CYC | CYC | CYC | CYC | CYC | CYC | AZA | AZA | |
7 | AZA | AZA | AZA | AZA | AZA | AZA | PC | PC | |
8 | PC | PC | PC | PC | PC | PC |
The analyses assumed that if a patient had an AE within the first 6 months that a randomly sampled (and previously unused) bDMARD would be used instead.
If RTX was contraindicated, then a randomly sampled (and previously unused) bDMARD would be used instead.
From the model structure it appears that if there is a good response to RTX then TCZ would not be used as a third-line treatment option.
Merck Sharp & Dohme Corp.
For brevity, the strategies for GOL and IFX have been discussed jointly as they are identical. The strategies employed in the MSD submissions are contained in Table 58. It is noted that these do not allow TCZ to be used as a third-line biologic as allowed within NICE guidance. MSD assumes that the first- and second-line treatment options have been used prior to the decision point. The Assessment Group comment that the use of RTX in the MTX arm is outside of licence as a bDMARD must have been provided prior to RTX.
Treatment number | IFX arm | GOL arm | Other biologic DMARD arm | MTX arm |
---|---|---|---|---|
1 | IFX + MTX | GOL + MTX | Biologic DMARD + MTX | MTX |
2 | RTX | RTX | RTX | RTX |
3 | LEF | LEF | LEF | LEF |
4 | GLD | GLD | GLD | GLD |
5 | AZA | AZA | AZA | AZA |
6 | CYC | CYC | CYC | CYC |
7 | PC | PC | PC | PC |
All patients were assumed to have previous lines of MTX and SSZ plus MTX.
The other bDMARDs evaluated were ETN, ADA, CTZ, TCZ, ABT i.v. and ABT s.c.
Pfizer
The strategies employed in the Pfizer submission are contained in Tables 59 and 60. It is noted that the strategy with TCZ first does not follow NICE guidance in that ABT i.v. is used as a third-line treatment.
Treatment number | Sequences | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
1 | ETN | ABT i.v. | ABT s.c. | CTZ | ADA | IFX | TCZ | GOL | cDMARD | Combination cDMARD |
2 | RTX | RTX | RTX | RTX | RTX | RTX | RTX | RTX | RTX | RTX |
3 | TCZ | TCZ | TCZ | TCZ | TCZ | TCZ | ABT i.v. | TCZ | TCZ | TCZ |
4 | SSZ | SSZ | SSZ | SSZ | SSZ | SSZ | SSZ | SSZ | SSZ | SSZ |
5 | LEF | LEF | LEF | LEF | LEF | LEF | LEF | LEF | LEF | LEF |
6 | PC | PC | PC | PC | PC | PC | PC | PC | PC | PC |
Treatment sequences applied by analysis | ||||||||||
Analysis 1 | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | |
Analysis 2 | ✓ | ✓ | ||||||||
Analysis 3 | ✓ | ✓ | ✓ |
Treatment number | Sequences | ||||
---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | |
1 | ETN | ADA | TCZ | TCZ | cDMARD |
2 | ADA | ETN | ETN | ADA | ETN |
3 | SSZ | SSZ | SSZ | SSZ | SSZ |
4 | LEF | LEF | LEF | LEF | LEF |
5 | PC | PC | PC | PC | PC |
Roche
Roche evaluated a very limited set of sequences, which consisted of inserting TCZ before a standard sequence of care. This is replicated in Figure 30. Roche evaluated only a sequence of MTX-intolerant or -contraindicated RA population. It is noted that Roche assumes that the standard of care sequence has three lines of bDMARD treatments (followed by palliative care), which is not in accordance with current NICE guidance. Roche evaluated only one sequence in which TCZ was inserted as the first-line treatment to create four lines of bDMARDs.
UCB Pharma
The strategies modelled by UCB Pharma are given in Table 61 and 62. The Assessment Group notes that in the MTX-experienced populations with DAS> 5.1, the continuing use of cDMARDs was not a comparator strategy, which is a serious deviation from the published scope.
Set-up | Interventions/regimens |
---|---|
Comparators | Combination with MTX |
CTZ | |
ADA | |
ETN | |
GOL | |
TCZ | |
IFX | |
ABT | |
Monotherapies | |
CTZ | |
ADA | |
ETN | |
TCZ | |
Follow-on interventions | RTX + MTX |
AZA | |
CYC | |
GLD | |
HCQ | |
LEF | |
Penicillamine | |
Palliation |
Set-up | Parameter |
---|---|
Comparators | CTZ + MTX |
CTZ + cDMARDs | |
PBO + MTX | |
PBO + cDMARDs | |
Follow-on interventions | MTX + SSZ |
MTX + SSZ + HCQ | |
MTX + HCQ | |
MTX + LEF | |
SSZ + HCQ | |
CYC | |
Penicillamine | |
Palliation |
Model structure/time cycle
This section details the model structure employed by each manufacturer. The two submissions from MSD have been assessed jointly as they have the same structure.
Broad summary
Four individual patient models and two cohort models were submitted. Of the four individual patient-level models, three used discrete event simulation (DES) techniques, which do not need time cycles, with the remainder using a 6-month cycle. Of the two cohort models, one used a 6-month time cycle, whereas the other adopted this after the initial year, with either three cycles of 6, 3 and 3 months in the first year, or 3, 4.5 and 4.5 months depending on the user input. Both cohort models used a half-cycle correction.
Four of the models were constructed in Microsoft Excel (Microsoft Corporation, Redmond, WA, USA); one in Arena (©Rockwell Automation, Milwaukee, WI, USA); and one in SIMUL8 (Simul8 Corporation, Boston, MA, USA).
AbbVie
The model is an individual-patient simulation based within Arena run for a cohort of 1000 patients, each with specific baseline characteristics, which are sampled from distributions specified in an Excel input shell. One hundred and fifty replications are done for each analysis to create 150,000 patients per treatment sequence. The overview of the model logic is shown in Figure 31. The model uses a DES approach; thus, there are no time cycles, although all patients are assumed to stay on treatment for 6 months (unless an AE occurs).
Bristol-Myers Squibb
Bristol-Myers Squibb reproduced the individual patient model built by Malottki et al. 171 but added first-line biologics to the beginning of the model. This was implemented in SIMUL8 and does not require time cycles. The model logic is shown in Figure 32.
Merck Sharp & Dohme Corp.
A Markov model constructed in Excel was used to estimate the expected costs and QALYs of patients with RA. A time cycle of 6 months was used with half-cycle correction.
The model structure is depicted in Figure 33.
Pfizer
The model was developed in Excel with visual basic for applications and uses a DES approach to model individual patients. As the model uses a DES approach, no time cycles were necessary.
Time on treatment and disease progression are time dependent, whereas modelling the effects of treatment withdrawal and any subsequent rebound effect requires knowledge of patients’ disease status prior to treatment.
The model structure is summarised in Figure 34 and is applicable to each decision problem evaluated.
Roche
The manufacturer reports that the design of the economic analysis follows guidelines set by the Outcome Measures in Rheumatoid Arthritis Clinical Trials (OMERACT) Economics Working Group. 212,213
The economic analysis is based on an individual patient model designed in Excel with the use of Visual Basic applications. The model tracks the characteristics of the individuals and maintains a history in particular of a patient’s response to treatment in their assigned drug sequence and change in HAQ score over time.
The model algorithm is presented in Box 2.
Start the simulation.
For patients i = 1, 2, . . . , n, cycles k = 1, 2, . . . , n a random number drawn by a continuous uniform distribution θ ∼ U[0,1], and the relevant risk factor p.
Determine the path of patient i through the model by θi,k ≤ pk
Determine cost ci and utility ui for individual i.
End the simulation.
Estimate the mean cost and utility E[(C, U)] by
a^n=1n∑i=1n(ci,ui).
The model implements a 6-month cycle length, which is in line with timing of available efficacy evidence (ACR data). Patients transition through the model by sequentially moving on to each treatment. Once patients exhaust all treatments in the sequence, they move into palliative care where they remain until death.
UCB Pharma
The cost-effectiveness model is a Markov (cohort health state transition) structure constructed in Excel.
The first model cycle is either 3 or 6 months (12 or 24 weeks), depending on the definition of response selected in the model and reflective of the published clinical guidance [6 months (24 weeks) is used in the base case]. The model allows for clinical response to be measured by either ACR response criteria (developed by the ACR) or EULAR response criteria (developed by the EULAR).
Two further model cycles in the first year are common to both the severe and moderate disease activity populations. Where the first model cycle has been chosen to be 3 months, the subsequent two time steps are each 4.5 months long. Where the first model cycle has been chosen to be 6 months, the subsequent two time steps are each 3 months long. The maximum time step length in the model is 6 months.
At the end of the next and following cycles, patients may remain in the same Markov state, discontinue treatment owing to an AE, discontinue treatment owing to lack of efficacy or intolerance, or die. There are no state transitions other than discontinuation of treatment and death. Discontinuation of treatment was assumed to be the same for all comparators, which was deemed to be a conservative assumption. Transition probabilities were calculated to appropriately reflect the varying length of time steps in the first model year. After the first 12 months, the cycle length is 6 months, reflecting the frequency of monitoring recommended by NICE and the British Society of Rheumatology. A half-cycle correction was employed.
The model structure based on ACR response is depicted in Figure 35 and the model structure based on EULAR response is depicted in Figure 36.
Time horizon
The time horizon for each model is detailed below. In summary, all models adopted a lifetime, or approximately lifetime, time horizon.
AbbVie
The AbbVie model used a lifetime horizon.
Bristol-Myers Squibb
The Bristol-Myers Squibb model used a lifetime horizon.
Merck Sharp & Dohme Corp.
The MSD model used a time horizon of 45 years, assuming that patients with moderate to severe RA would die at a maximum 95 years and those with severe RA would die at a maximum age of 96 years. Shorter analysis time frames were used in the sensitivity analyses.
Pfizer
The Pfizer model used a lifetime horizon. Shorter analysis timeframes were used in the sensitivity analyses.
Roche
The Bristol-Myers Squibb model used a lifetime horizon.
UCB Pharma
The time horizon in the base-case analysis was an approximation of the lifetime of a patient. UCB Pharma stated that analysis of BSRBR data has revealed an average age of patients starting on TNF inhibitors of 55 years. 214 A time frame of 45 years would assume that patients would die at a maximum age of 100 years. Shorter analysis timeframes were used in the sensitivity analyses.
Perspective
The perspectives adopted in the submissions are detailed below. In summary, all submissions used an NHS and Personal Social Services perspective.
AbbVie
The base-case analysis of the economic evaluation was conducted from a NHS and Personal Social Services perspective. AbbVie note that resource use data related to Personal and Social Services for the management of RA in the UK were not available for costing purposes.
Bristol-Myers Squibb
Although not explicitly stated, the Bristol-Myers Squibb model adopts a NHS and Personal Social Services perspective.
Merck Sharp & Dohme Corp.
The MSD analysis is conducted from the UK NHS perspective. Direct costs included the drug cost, administration cost and heath-care resource use.
Pfizer
The current analysis was conducted from the perspective of the UK NHS and Personal Social Services.
Roche
The Roche submission used an NHS and Personal Social Services perspective.
UCB Pharma
The model takes a payer perspective (i.e. that of the NHS and Personal Social Services), as per NICE guidance, and includes direct medical costs such as hospital care (inpatient and outpatient), primary care and home visits. Sensitivity analyses were conducted using a societal perspective.
Discounting
The discount rates used within the submissions are shown in Table 63. In summary, each submission used the appropriate discount rate in the base-case analysis.
Manufacturer | Base case | Sensitivity analyses | ||
---|---|---|---|---|
Costs | QALYs | Costs | QALYs | |
AbbVie | 3.5% | 3.5% | 6.0% | 1.5% |
1.5% | 1.5% | |||
Bristol-Myers Squibb | 3.5% | 3.5% | ||
MSD | 3.5% | 3.5% | 0.0% | 3.5% |
3.5% | 0.0% | |||
0.0% | 0.0% | |||
Pfizer | 3.5% | 3.5% | 6.0% | 1.5% |
Roche | 3.5% | 3.5% | ||
UCB Pharma | 3.5% | 3.5% | 6.0% | 1.5% |
1.5% | 6.0% | |||
1.5% | 1.5% | |||
6.0% | 6.0% |
Population characteristics
The population characteristics for each submission are detailed in this section. In summary, the manufacturers often use drug-specific data from the BSRBR, or from the trials related to their intervention. Typically no comment is made regarding the correlation between parameters with the exception of Pfizer’s model.
AbbVie
The baseline characteristics for patients considered within the AbbVie analyses come from different sources, of which it was stated that wherever possible the source was chosen to reflect the composition of the treated population for RA in the UK. For MTX-experienced patients with moderate disease activity the source was the ReAct study. 215 Data from the BSRBR for this patient population could not be used, because historically patients in the UK have always required a DAS28 of > 5.1 to receive an antiTNF; as such, any patients in the BSRBR with a DAS28 of < 5.1 who received an antiTNF are very select group of patients with non-normal characteristics. For MTX-experienced patients with severe disease activity the source was the BSRBR data. AbbVie report that analysis was undertaken on BSRBR data for ADA from the raw BSRBR. This analysis was presented as AiC data. For MTX-naive patients with severe disease activity the source was the PREMIER trial. 109 The characteristics of patients for each of those populations are outlined in Tables 64–66. No comment is made on the correlation of parameters.
Patient characteristic | Value (SD) |
---|---|
Sex (% female) | 81.4 |
Age (years) | 54.6 |
Baseline HAQ-DI | 1.5 (0.65) |
Disease duration (years) | 10.65 (8.56) |
Patient characteristic | Value (SD) |
---|---|
Sex (% female) | AiC information has been removed |
Age (years) (males/females) | AiC information has been removed |
Baseline HAQ-DI (males/females) | AiC information has been removed |
Disease duration (years) | AiC information has been removed |
Patient characteristic | Value (SD) |
---|---|
Sex (% female) | 75.0 |
Age (years) (males/females) | 60.8/58.0 |
Baseline HAQ-DI (males/females) | 1.38 (0.62)/1.58 (0.65) |
Disease duration (years) | 11.28 (9.07) |
For each subpopulation several sensitivity analyses were conducted, to take into account the effect in the cost-effectiveness estimates of applying the sequences to a fully male or fully female population; a population with average starting age of 55 years or 65 years; a population with average baseline HAQ score of 1.0, 1.5 or 2.0. There is no comment on the correlation assumed between the distributions.
Bristol-Myers Squibb
The Bristol-Myers Squibb patient-level simulation model generates a group of virtual patients, who are assigned individual characteristics, such that each patient has their own sex, age and HAQ score. These values were taken from Chen et al. ,123 and are reproduced in Tables 67 and 68. It is not commented whether or not the age and sex distributions are assumed to be correlated with HAQ distribution.
Sex | Age (years) | |||||||
---|---|---|---|---|---|---|---|---|
15–24 | 25–34 | 35–44 | 45–54 | 55–64 | 65–74 | 75–84 | Total | |
Male | 0.9% | 2.5% | 5.4% | 8.3% | 9.0% | 6.8% | 5.1% | 38% |
Female | 1.5% | 4.0% |