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ABSTRACT: Background
Sarcopenia can severely affect patients undergoing maintenance hemodialysis. A high-quality prediction model could facilitate early identification and prevention. Despite the growing number of risk prediction models for sarcopenia in these patients, their quality and clinical utility remain uncertain.Objective
This study aims to systematically review existing studies on risk prediction models for sarcopenia in maintenance hemodialysis patients.Methods
A comprehensive literature search was conducted across PubMed, Web of Science, Embase, The Cochrane Library, CINAHL, CNKI, VIP, CBM, Wanfang databases, and Clinical Trials.gov from their inception until May 12, 2024. Studies on sarcopenia risk prediction models for maintenance hemodialysis patients were incl
SUBMITTER: Chen L
PROVIDER: S-EPMC12729000 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature