Evidence map›Paper›PMID 40949739›Full record

SynthesisPeerJ2025

Can the triglyceride-glucose index predict the risk of stroke? A meta-analysis of high-quality studies with 12.8 million participants.

Gang Xin, Huiya Li, Ji Jiang

Abstract readMeta-Analysis
In one paragraph

Synthesis in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Gang XinEmergency Department, The Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang, China.
Huiya LiEmergency Department, The Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang, China.
Ji JiangEmergency Department, The Affiliated People's Hospital of Ningbo University, Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The triglyceride-glucose index (TyG) has been actively researched for predicting several diseases. However, high-quality evidence assessing its ability to predict stroke is lacking. We conducted a meta-analysis of high-quality studies examining if TyG can predict stroke in the general population. Methods: Embase, PubMed, CENTRAL, Web of Science, and Scopus databases were searched until 13th January 2025. Cohort studies on the general population, excluding those with baseline stroke or cardiovascular disease, with a minimum follow-up of four years and reporting an adjusted association between TyG and stroke were included. TyG was assessed as both a categorical and continuous variable. Results: A total of 13 studies with 12,898,434 individuals were eligible. The overall incidence of stroke was 0.89%. Meta-analysis indicated a statistically significant increased risk of stroke between higher vs lower values of TyG (risk ratio (RR): 1.27 95% confidence interval (CI) [1.19-1.35] Conclusion: High TyG is associated with increased risk of stroke in the general population.

Indexed as

Blood GlucoseStrokeTriglyceridesFemaleHumansIncidenceMaleRisk FactorsBlood GlucoseTriglyceridesBiomarkerCerebrovascular diseaseInsulin resistanceLipidsRisk

Identifiers

PMID40949739
PMCPMC12428551

What OpenQuestion holds

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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.