Diagnostic Prediction Models for Sarcopenia: A Systematic Review and Meta-Analysis.

Journal: Journal of the American Medical Directors Association
Published Date: Jun 16, 2025

Abstract

OBJECTIVES: Early detection and diagnosis of sarcopenia remain challenging. Despite significant progress in predictive modeling, there is no comprehensive evaluation of their diagnostic performance and methodologic quality across different modeling approaches and populations. This study aims to systematically evaluate the diagnostic accuracy of prediction models for sarcopenia across different modeling approaches and reference standards.

Authors

  • Xiangyu Zhang
    Department of Geriatrics, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
  • Rongna Lian
    Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
  • Huiyu Tang
    Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
  • Shuyue Luo
    Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China.
  • Xiaoyan Chen
  • Jing Lu
    Department of Nephrology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
  • Ming Yang
    Wuhan Institute for Food and Cosmetic Control, Wuhan 430014, China.

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