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Tools were developed, using large datasets, to predict the outcome of hip and knee arthroplasty, but it would not currently be cost-effective to implement them in the NHS.

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Nigel Arden 1,*, Doug Altman 1, David Beard 1, Andrew Carr 1, Nicholas Clarke 2, Gary Collins 1, Cyrus Cooper 3, David Culliford 4, Antonella Delmestri 1, Stefanie Garden 1, Tinatin Griffin 1, Kassim Javaid 1, Andrew Judge 1, Jeremy Latham 5, Mark Mullee 6, David Murray 1, Emmanuel Ogundimu 1, Rafael Pinedo-Villanueva 1, Andrew Price 1, Daniel Prieto-Alhambra 1, James Raftery 7

1 Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
2 Developmental Origins of Health & Disease Division, University of Southampton, Southampton, UK
3 Medical Research Council, Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital, Southampton, UK
4 Faculty of Health Sciences, University of Southampton, Southampton, UK
5 Orthopaedic and Trauma Surgery, University Hospital Southampton NHS Foundation Trust, Southampton, UK
6 Research & Development Support Unit, University of Southampton, Southampton, UK
7 Wessex Institute for Health Research and Development, University of Southampton, Southampton, UK
* Corresponding author Email: nigel.arden@ndorms.ox.ac.uk

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