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Sarcopenia in end-stage lung disease patients: a systematic review and meta-analysis

Li Sheng, Pei-Pei Gu, Lingyun Cai, Yan Zhu, Meijun Dong, Fei Zeng

Frontiers in Medicine, 2025

6,800 participants · 3 citations

Abstract

Sarcopenia is usually an age-related disease in the elderly, which also affects patients with end-stage lung disease (ELD), such as chronic obstructive pulmonary disease, interstitial lung disease, and pulmonary hypertension, significantly affects disease progression and clinical outcomes. Currently, there are various methods for quantifying sarcopenia through muscle mass assessment. This study aimed to evaluate the prevalence of sarcopenia in patients with end-stage lung diseases using meta-analysis and to explore its influencing factors and clinical implications. A systematic search was conducted in English databases, including PubMed, Web of Science (WOS), Embase, Cochrane Library, CINAHL, and Scopus. Two researchers independently assessed study quality using the JBI Critical Appraisal Checklist for Analytical Cross Sectional Studies. Data analysis was performed using Stata 18.0 and R 4.4.3 software. The pooled prevalence of sarcopenia in ELD patients was calculated using a random-effects model, with subgroup analyses to identify sources of heterogeneity. Twenty-four cross-sectional studies involving 6,800 patients were included. The pooled prevalence of sarcopenia in ELD patients was 31.6% (95% CI: 26.5–36.8%). Subgroup analyses revealed higher sarcopenia prevalence in patients aged ≥70 years (vs. <70 years), males (vs. Females), those diagnosed using AWGS2019 criteria (vs.other criteria), dual-energy X-ray absorptiometry (DXA; vs. bioelectrical impedance analysis…

How strong is the evidence?

Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid. Reported size: 6,800 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

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