Prognostic models for knee osteoarthritis: a protocol for systematic review, critical appraisal, and meta-analysis

Abstract Background Osteoarthritis is the most common degenerative joint disease. It associated with significant socioeconomic burden and poor quality of life, mainly due to knee osteoarthritis (KOA), related total arthroplasty (TKA). Since early detection method disease-modifying drug lacking, key KOA treatment shifting disease prevention progression slowing. The prognostic prediction models are called for guide clinical decision-making. aim our review identify characterize reported multivariable about three concerns: (1) risk developing in general population, (2) receiving TKA patients, (3) outcome patients who plan receive TKA. Methods electronic datasets (PubMed, Embase, Cochrane Library, Web Science, Scopus, SportDiscus, CINAHL) gray literature sources (OpenGrey, British Library Inside, ProQuest Dissertations & Theses Global, BIOSIS preview) will be searched from their inception onwards. Title abstract screening full-text accomplished by two independent reviewers. that concern on included. Data extraction instrument critical appraisal developed before formal assessment modified during a training phase advance. Study reporting transparency, methodological quality, bias assessed according TRIPOD statement, CHARMS checklist, PROBAST tool, respectively. Prognostic summarized qualitatively. Quantitative metrics predictive performance these synthesized meta-analyses if appropriate. Discussion Our systematic collate evidence can used through whole process KOA. may which capable allowing personalized preventative therapeutic interventions precisely targeted at those individuals highest risk. To accomplish cross translational gaps between an exploratory research valued addition precision medicine workflows, recommendations relating model development, validation, or impact made. Systematic registration PROSPERO CRD42020203543