Journal article

Developing prediction models for total knee replacement surgery in patients with osteoarthritis: Statistical analysis plan

Sharmala Thuraisingam, Michelle Dowsey, Jo-Anne Manski-Nankervis, Tim Spelman, Peter Choong, Jane Gunn, Patty Chondros

Osteoarthritis and Cartilage Open | Elsevier BV | Published : 2020

Abstract

Background Approximately 12–20% of those with osteoarthritis (OA) in Australia who undergo total knee replacement (TKR) surgery do not report any clinical improvement. There is a need to develop prediction tools for use in general practice that allow early identification of patients likely to undergo TKR and those unlikely to benefit from the surgery. First-line treatment strategies can then be implemented and optimised to delay or prevent the need for TKR. The identification of potential non-responders to TKR may provide the opportunity for new treatment strategies to be developed and help ensure surgery is reserved for those most likely to benefit. This statistical analysis plan (SAP) deta..

View full abstract