Risk prediction models for Sarcopeniain maintenance hemodialysis patients:a systematic review
XIONG Lingling
GU Xujie
LI Ruitong
YUE Yuchuan
Abstract：Objective:To systematically evaluate the sarcopenia risk prediction model for maintenance hemodialysis patients and provide a basis for clinical practice.Methods:The studies on sarcopenia risk prediction models for maintenance hemodialysis patients were retrieved from CNKI,WanFang,VIP,CBM,The Cochrane Library,Pubmed,Web of Scinence,and Embase databases from the establishment of the database to November 30,2023.Two researchers independently screened the literature,extracted data,and evaluated the risk of bias and applicability of the included literature according to the CHARMS checklist and PROBAST assessment tool.Results:A total of 14 papers were included,including 19 models,with an area under curve(AUC)of 0.712-0.955.Age,sex,body mass index,grip strength,and nutritional status were the predictors that entered the model most frequently,and the risk of bias was high in the included studies.In terms of model applicability,one paper had low applicability.Conclusions:The research on risk prediction model of sarcopenia in maintenance hemodialysis patients in China is in a rapid development stage,with good predictive performance,but high risk of bias.In the future,attention should be paid to the normalization of model development,external validation and clinical practice transformation research,in order to provide an optimized and convenient personalized prediction model for clinical practice.
Keywords：maintenance hemodialysissarcopeniaprediction modelsystematic evaluation
Publication Date：2024-12-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 4380-4385 )