Development of risk prediction model for chronic pain after knee replacement surgery: protocol for an individual patient data meta-analysis
Study context
- Population
- Adults undergoing elective total knee arthroplasty (TKA) in prospective studies assessing perioperative risk factors for chronic post-surgical pain (CPSP), with knee pain measured at least 3 months post-surgery
- Primary endpoint
- CPSP after TKA (development and validation of a risk prediction model)
Methodological detailsone-stage individual patient data (IPD) meta-analysis, prediction model development and validation, Online calculator planned for the risk assessment model, Search of MEDLINE, CINAHL, EMBASE, Cochrane CENTRAL, January 2005 to August 2025, Paired independent screening; IPD requested from authors of eligible studies under a data sharing agreement
- One-stage IPD meta-analysis
- Prediction model development and validation
- Online calculator planned for the risk assessment model
- Search of MEDLINE, CINAHL, EMBASE, Cochrane CENTRAL, January 2005 to August 2025
- Paired independent screening; IPD requested from authors of eligible studies under a data sharing agreement
No results yet. This paper sets out the design of a trial; its results are to come.
Original publication
Development of risk prediction model for chronic pain after knee replacement surgery: protocol for an individual patient data meta-analysis. Perioper Med (Lond). Published 19 March 2026. doi:10.
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