Evidence map›Paper›PMID 42504250›Full record

SynthesisPeerJ2026

Association between triglyceride-glucose index and sarcopenia: a meta-analysis.

Shuying Zou, Yuzhou Li, Xiangnan Zhu, Li Tang, Qianqian Zhang, Caixia Xie

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Shuying ZouSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Yuzhou LiDepartment of Nursing, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Xiangnan ZhuDepartment of Nursing, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Li TangDepartment of Nursing, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Qianqian ZhangSchool of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China.
Caixia XieDepartment of Nursing, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: With accelerating population aging, sarcopenia has become increasingly common in the elderly. Because the triglyceride-glucose index is correlated with sarcopenia, this study aims to investigate the association between the triglyceride-glucose index and sarcopenia. Methods: A systematic search of PubMed, Web of Science, Embase, and Cochrane Library databases was conducted for relevant studies published up to June 15, 2025. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using a random-effects model in STATA 15.0. Results: Analysis of 14 studies ( Conclusions: This meta-analysis confirms a significant association between the TyG index and sarcopenia. The prevalence of sarcopenia increases with the elevation of the TyG index. This highlights the potential value of the TyG index as a key indicator for sarcopenia screening and early intervention. Trial registration:CRD420251067364, June 25, 2025.

Indexed as

Blood GlucoseSarcopeniaTriglyceridesAgedHumansOdds RatioBlood GlucoseTriglyceridesMeta-analysisSarcopeniaTriglyceride-glucose body mass indexTriglyceride-glucose index

Identifiers

PMID42504250
PMCPMC13401845

What Socratic 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 Socratic graph.