Evidence mapPaperPMID 34866342Full record

ArticleJournal of cachexia, sarcopenia and muscle2022

Muscle-to-fat ratio identifies functional impairments and cardiometabolic risk and predicts outcomes: biomarkers of sarcopenic obesity.

Pei-Chin Yu, Chia-Chia Hsu, Wei-Ju Lee, Chih-Kuang Liang, Ming-Yueh Chou, Ming-Hsien Lin, Fei-Yuan Hsiao, Li-Ning Peng, Liang-Kung Chen

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

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  14. Exploring obesity phenotypes: a longitudinal perspective.Reviews in endocrine & metabolic disorders · 2025
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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

9 authors at 2 institutions in 1 country.

Pei-Chin YuCenter for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan.
Chia-Chia HsuCenter for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan.
Wei-Ju LeeAging and Health Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Chih-Kuang LiangAging and Health Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Ming-Yueh ChouAging and Health Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Ming-Hsien LinCenter for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan.
Fei-Yuan HsiaoGraduate Institute of Clinical Pharmacy, National Taiwan University, Taipei, Taiwan.
Li-Ning PengCenter for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan.
Liang-Kung ChenCenter for Geriatrics and Gerontology, Taipei Veterans General Hospital, Taipei, Taiwan.ORCID 0000-0002-2387-8508
National Yang Ming Chiao Tung University · TWNational Taiwan University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenic obesity aims to capture the risk of functional decline and cardiometabolic diseases, but its operational definition and associated clinical outcomes remain unclear. Using data from the Longitudinal Aging Study of Taipei, this study explored the roles of the muscle-to-fat ratio (MFR) with different definitions and its associations with clinical characteristics, functional performance, cardiometabolic risk and outcomes.

methods(1) Appendicular muscle mass divided by total body fat mass (aMFR), (2) total body muscle mass divided by total body fat mass (tMFR) and (3) relative appendicular skeletal muscle mass (RASM) were measured. Each measurement was categorized by the sex-specific lowest quintiles for all study participants. Clinical outcomes included all-cause mortality and fracture.

resultsData from 1060 community-dwelling older adults (mean age: 71.0 ± 4.8 years) were retrieved for the study. Overall, 196 (34.2% male participants) participants had low RASM, but none was sarcopenic. Compared with those with high aMFR, participants with low aMFR were older (72 ± 5.6 vs. 70.7 ± 4.6 years, P = 0.005); used more medications (2.9 ± 3.3 vs. 2.1 ± 2.5, P = 0.002); had a higher body fat percentage (38 ± 4.8% vs. 28 ± 6.4%, P < 0.001), RASM (6.7 ± 1.0 vs. 6.5 ± 1.1 kg/m

conclusionsOlder adults identified with low MFR had unfavourable body composition, poor functional performance, high cardiometabolic risk and a high risk for the clinical outcome.

Indexed as

Cardiovascular DiseasesSarcopeniaAdipose TissueAgedBiomarkersFemaleHand StrengthHumansMaleMusclesObesityBiomarkersCardiovascular diseaseFallsMuscle-to-fat ratioSarcopeniaSarcopenic obesity

Identifiers

PMID34866342
PMCPMC8818605
OpenAlexW4200591490

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.