SARC-CalF量表对亚洲老年人群肌肉减少症诊断价值的meta分析

Diagnostic value of SARC-CalF scale for sarcopenia in Asian elderly population:A meta-analysis

目的 系统评价SARC-CalF量表筛检亚洲老年人群肌肉减少症风险的效果。方法 检索PubMed、Web of Science、Embase、Cochrane Library、CINAHL、中国知网、中国生物医学文献数据库、维普、万方中使用SARC-CalF量表筛查亚洲老年人群肌肉减少症的诊断/筛检试验研究,检索时间为建库至2023年4月。采用诊断准确性研究质量评价工具(QUADAS-2)对纳入文献进行质量评价,资料分析采用STATA15.1。结果 共纳入12篇文献,筛查老年人肌肉减少症5 406例,meta分析结果显示,SARC-CalF量表筛查老年人群肌肉减少症的合并敏感度为0.63[95%可信区间(95%CI)0.54~0.71],合并特异度为0.82(95%CI 0.74~0.88),阳性似然比为3.40(95%CI 2.50~4.80),阴性似然比为0.45(95%CI 0.37~0.56),诊断比值比为8(95%CI 5~12),拟合受试者操作特征曲线下面积(AUC)为0.78(95%CI 0.74~0.81)。结论 SARC-CalF量表对亚洲老年人群肌肉减少症筛查具有一定准确性,且不同研究人群、地区的诊断价值存在差异,但具体情况仍需联用其他筛查工具以提高敏感度,避免漏诊。

Objective To systematically evaluate the effect of SARC-CalF scale on screening the risk of sarcopenia in Asian elderly population.Methods The PubMed,Web of Science,Embase,Cochrane Library,CINAHL,CNKI,CBM,VIP and Wanfang for diagnostic/screening trials of SARC-CalF for sarcopenia in Asian elderly population were searched from inception to April 2023.The diagnostic accuracy research quality evaluation tool(QUADAS-2) was used to evaluate the quality of the included literature,and STATA15.1 was used for data analysis.Results A total of 12 literatures were included,and 5 406 cases of sarcopenia in the elderly were screened.The results of meta-analysis showed that the combined sensitivity of SARC-CalF scale for screening sarcopenia in the elderly was 0.63[95% confidence interval(95%CI)0.54-0.71],the combined specificity was 0.82(95%CI 0.74-0.88),the positive likelihood ratio was 3.40(95%CI 2.50-4.80),the negative likelihood ratio was 0.45(95%CI 0.37-0.56),and the diagnostic odds ratio was 8(95%CI 5-12).The area under the receiver operating characteristic curve(AUC) was 0.78(95%CI 0.74-0.81).Conclusion SARC-CalF scale has certain accuracy in screening sarcopenia in Asian elderly population,and the diagnostic value of different research populations and regions is different.However,other screening tools are still needed to improve the sensitivity and avoid missed diagnosis.