Evidence map›Paper›PMID 35859753›Full record

SynthesisFrontiers in nutrition2022

Prevalence of Sarcopenia in Patients With COVID-19: A Systematic Review and Meta-Analysis.

Ying Xu, Jia-Wen Xu, Peng You, Bing-Long Wang, Chao Liu, Ching-Wen Chien, Tao-Hsin Tung

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
4.2field-weighted citation impact, top 5% of its field
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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

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  9. Outcome Comparison in Hospitalized COVID-19 Patients With and Without AKI.Journal of community hospital internal medicine perspectives · 2024
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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

7 authors at 4 institutions in 1 country.

Ying XuInstitute for Hospital Management, Tsing Hua University, Shenzhen, China.
Jia-Wen XuInstitute for Hospital Management, Tsing Hua University, Shenzhen, China.
Peng YouInstitute for Hospital Management, Tsing Hua University, Shenzhen, China.
Bing-Long WangSchool of Health Policy and Management, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chao LiuInstitute for Hospital Management, Tsing Hua University, Shenzhen, China.
Ching-Wen ChienInstitute for Hospital Management, Tsing Hua University, Shenzhen, China.
Tao-Hsin TungEvidence-Based Medicine Centre, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Linhai, China.
Beijing Hua Xin Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNWenzhou Medical University · CNZhejiang Taizhou Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: It has been speculated that patients with sarcopenia are aggravated by the current novel coronavirus disease 2019 (COVID-19) epidemic. However, there is substantial uncertainty regarding the prevalence of sarcopenia in patients with COVID-19. Objectives: The purpose of the study was to systematically evaluate the prevalence of sarcopenia in patients with COVID-19, including stratification by gender, study location, study population, study design, and diagnostic criteria. Design: This is the systematic literature review and meta-analysis. Methods: An electronic search was performed in MEDLINE/PubMed, Embase, Cochrane Library, and Web of Science and Scopus to identify observational studies reporting a prevalence estimate for sarcopenia in patients with COVID-19. Studies were reviewed in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines and a meta-analysis was performed. Risk of bias (RoB) was assessed using the Newcastle-Ottawa Scale (NOS) for cohort studies and Joanna Briggs Institute (JBI) manual for cross-sectional studies, and Stata 14.0 was used to perform meta-analyses. Results: A total of 4,639 studies were initially identified. After removing the duplicates and applying the selection criteria, we reviewed 151 full-text studies. A total of 21 studies, including 5,407 patients, were eligible for inclusion in this review finally. The prevalence of sarcopenia in patients with COVID-19 in individual studies varied from 0.8 to 90.2%. The pooled prevalence of sarcopenia in COVID-19 was 48.0% (95% confidence interval, CI: 30.8 to 65.1%, Conclusion: To our knowledge, this is the first meta-analysis reporting on the prevalence of sarcopenia in patients with COVID-19. Sarcopenia is frequently observed in patients with COVID-19, with varying prevalence across population settings. This study would be useful for clinicians to prompt the increasing awareness of identifying sarcopenia and developing interventions at patients with COVID-19 with high risk of sarcopenia. Further prospective longitudinal studies to define the association of sarcopenia and its prognostic outcomes in COVID-19 survivors are urgently needed to propose the most appropriate treatment strategies during their admission and discharge. Systematic Review Registration: [www.crd.york.ac.uk/prospero/], identifier [CRD42022300431].

Indexed as

acute sarcopeniaCOVID-19meta-analysismuscle losssarcopenia

Identifiers

PMID35859753
PMCPMC9289534
OpenAlexW4283789196

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.