Risk factors of frailty/sarcopenia in community older adults: Meta-analysis.

Xiaoyang Yan, Jiansong Zhou, Xia Cao

Abstract readReview

In one paragraph

Review in Open medicine (Warsaw, Poland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Can Unsupervised Machine Learning Support Malnutrition Risk Screening in Older Adults? A Preliminary Study Using Multidimensional Phenotyping and Hierarchical Clustering on Principal Components.Nutrients · 2026
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

3 authors.

Xiaoyang YanHealth Management Center, The Third Xiangya Hospital of Central South University, 410013, Changsha, China.

Jiansong ZhouDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, 410011, Changsha, China.

Xia CaoHealth Management Center, The Third Xiangya Hospital of Central South University, No. 138, Tongzipo Road, 410013, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to review the rates of physical frailty and sarcopenia, as well as associated risk factors, among adults aged 60 and older living in the community. Methods: A systematic literature search was conducted in PubMed, Wiley Library, Embase, Web of Science, and Cochrane Library for articles published from January 2000 to December 2024. The review followed PRISMA guidelines for meta-analysis. Results: Sixteen studies with 41,765 participants were included in the meta-analysis. The pooled prevalence of frailty/sarcopenia was 27% (95% CI: 19-35%). Specifically, the pooled prevalence of frailty was 25% (95% CI: 16-38%) and that of sarcopenia was 23% (95% CI: 13-37%). Age, malnutrition, depression, falls, and hypertension were identified as significant risk factors for frailty/sarcopenia. Conclusion: Nearly 30% of older adults in the community are affected by frailty/sarcopenia. Early identification of these risk factors is crucial for the prevention and management of frailty/sarcopenia. Further research is needed to determine effective interventions and strategies to reduce the incidence of frailty/sarcopenia.

Indexed as

elderly in the communityfrailtyprevalencerisk factorssarcopenia

Identifiers

PMID40989160

DOI10.1515/med-2025-1259

PMCPMC12452068

What OpenQuestion holds

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LicenceCC BY

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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.