目的 综述国内外老年肌少症风险预警模型的构建及验证情况，评估其在临床应用中的潜力和可能性。 方法 按范围综述方法学框架，系统检索中国知网、万方、PubMed等数据库中有关老年肌少症风险预警模型的相关文献，检索时限为建库至2024年6月11日，并对文献进行筛选、提取及总结。 结果 共检索8279篇，最终纳入15篇，涵盖20个老年肌少症风险预警模型，主要文献建模方法为Logistic回归，高频建模预测因子包括年龄、体质量指数、小腿围及锻炼习惯等。 结论 现有老年肌少症风险预警模型的预测性能较好，但总体偏倚风险较高，未来应开展大规模、多中心的外部验证研究，促进模型临床转化，切实服务于老年人群。

Objective To review the construction and validation of risk early warning models for sarcopenia in the elderly at home and abroad,and to assess the potential and possibility in clinical application.Methods According to the methodological framework of the scope review,relevant literature on the risk early warning model of sarcopenia in the elderly was systematically retrieved from databases such as CNKI,Wanfang,and PubMed.The retrieval period was from the inception to June 11,2024,and the literature was screened,extracted,and summarized.Results A total of 8,279 articles was retrieved,and 15 were finally included,covering 20 risk early warning models of sarcopenia in the elderly.The main literature modeling method was Logistic regression,and the high-frequency modeling predictors included age,body mass index,calf circumference and exercise habits,etc.Conclusions The predictive performance of the existing risk early warning models for sarcopenia in the elderly is relatively good,but the overall risk of bias is relatively high.In the future,large-scale,multi-center external validation studies should be carried out to promote the clinical transformation of the models and truly serve the elderly population.

R47