Evidence map›Paper›PMID 40552782›Full record

SynthesisAnnals of medicine2025

Prevalence and prognosis of sarcopenia in acute COVID-19 and long COVID: a systematic review and meta-analysis.

Ying Xu, Jia-Wen Xu, You Wu, Li-Juan Rong, Li Ye, Oscar H Franco, Ching-Wen Chien, Xiao-Ru Feng, Jia-Yu Chen, Tao-Hsin Tung

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Ying XuEvidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang Province, China.ORCID 0000-0001-9994-9889
Jia-Wen XuInstitute for Hospital Management, School of Medicine, Tsinghua University, Beijing, China.
You WuInstitute for Hospital Management, School of Medicine, Tsinghua University, Beijing, China.ORCID 0000-0001-9672-6129
Li-Juan RongInstitute for Hospital Management, School of Medicine, Tsinghua University, Beijing, China.
Li YeInstitute for Hospital Management, School of Medicine, Tsinghua University, Beijing, China.
Oscar H FrancoDepartment of Global Public Health, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands.ORCID 0000-0002-4606-4929
Ching-Wen ChienInstitute for Hospital Management, School of Medicine, Tsinghua University, Beijing, China.
Xiao-Ru FengInstitute for Hospital Management, School of Medicine, Tsinghua University, Beijing, China.
Jia-Yu ChenDepartment of Environmental Systems Science (D-USYS), Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland.
Tao-Hsin TungEvidence-Based Medicine Center, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, Zhejiang Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA comprehensive investigation delineating the prevalence of sarcopenia across different infection phases, from acute COVID-19 to long COVID, is lacking. Meanwhile, the relationship between sarcopenia and adverse outcomes among COVID-19 patients remains inconsistent. MATERIALS AND

methodsA systematic search of MEDLINE/PubMed, Embase, Cochrane Library, Web of Science, and Scopus, before 22nd February 2025, was conducted to identify studies assessing sarcopenia prevalence in acute COVID-19 and long COVID. Random effects meta-analyses were performed to estimate the pooled prevalence of sarcopenia for acute COVID-19 and long COVID patients. Subgroup analyses stratified by assessment tool, region, income, hospitalization status, and age were performed. The associations between sarcopenia and COVID-19-related clinical outcomes were further quantified.

resultsA total of 39 studies with 6,982 individuals were included. The pooled prevalence of sarcopenia was 48.7% (95% confidence interval (CI): 39.6-57.9%) in acute COVID-19 and 23.5% (95% CI: 12.7-39.4%) in long COVID. In acute COVID-19 patients, sarcopenia was not significantly associated with length of stay (mean difference = 2.215, 95% CI: -0.004 to 4.433), mechanical ventilation (Odds ratio (OR) = 1.80, 95% CI: 0.84-3.85), admission to the intensive care unit (OR = 1.05, 95% CI: 0.63-1.77), or mortality (OR = 1.41, 95% CI: 0.86-2.32), but was significantly associated with tracheostomy (OR = 2.48, 95% CI: 1.28-4.82).

conclusionIn conclusion, our findings indicate that sarcopenia is highly prevalent in acute COVID-19 and persists in a substantial proportion of long COVID patients, suggesting prolonged muscle loss beyond the acute phase. Future well-designed studies are needed to further investigate the association between sarcopenia and short-term and long-term prognostic outcomes in both acute and long COVID patients.

Indexed as

COVID-19SarcopeniaHospitalizationHumansLength of StayPrevalencePrognosisSARS-CoV-2COVID-19long COVIDmeta-analysisprevalenceprognosisSarcopeniasystematic review

Identifiers

PMID40552782
PMCPMC12931308

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.