Prediction Models for Stroke-Associated Sarcopenia: A Scoping Review
Abstract
Background and Purpose: To systematically map the study designs, model development methods, predictive performance, and predictors of risk prediction models for sarcopenia in stroke patients, and to identify current research status, gaps, and future directions in this field. Methods: This review followed the Arksey and O'Malley five-stage framework. Nine databases (PubMed, Web of Science, Cochrane Library, Embase, CINAHL, CNKI, Wanfang, VIP and SinoMed) were searched from inception to October 2025. Two reviewers independently screened and extracted data using a form based on the JBI Manual, with methodological classification guided by the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement. A narrative synthesis approach was adopted. Expected/Actual Outcomes:The review provides a comprehensive overview of the heterogeneity in SAS definitions and sarcopenia diagnostic criteria across studies. These findings highlight the need for standardized criteria in future stroke-related sarcopenia research and may inform clinical screening and intervention strategies. Registration Note: This is a retrospective registration.
