Evidence map›Paper›PMID 41244524›Full record

ReviewPakistan journal of medical sciences2025

Can the triglyceride-glucose index predict stroke outcomes? A systematic review and meta-analysis.

Ying Zhou, Yusong Chen, Jiawei Wang

Abstract readReview
In one paragraph

Review in Pakistan journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Ying ZhouYing Zhou, Department of Rehabilitation Medicine, Changxing People's Hospital, Huzhou, Zhejiang Province 313100, P.R. China.
Yusong ChenYusong Chen, Department of Rehabilitation Medicine, Changxing People's Hospital, Huzhou, Zhejiang Province 313100, P.R. China.
Jiawei WangJiawei Wang, Department of Rehabilitation Medicine, Changxing People's Hospital, Huzhou, Zhejiang Province 313100, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To assess the link between the triglyceride-glucose (TyG) index and stroke-related outcomes. Methodology: PubMed, Embase and Scopus databases were searched between January 1, 2000 to November 15, 2024 for studies reporting association between TyG and stroke outcomes. Pooled effect sizes were calculated as relative risks (RR) with 95% confidence intervals (CI). Results: Twenty five studies were included. High TyG levels significantly correlated with increased mortality during hospital stay (RR 1.70, 95% CI: 1.15 to 2.52), at three months (RR 1.96, 95% CI: 1.12 to 3.45) and at 12 months (RR 1.43, 95% CI: 1.07 to 1.91) follow-ups. Similarly, high TyG levels were linked to higher recurrence risk at three months (RR 2.75, 95% CI: 1.31 to 5.78) and 12 months (RR 1.41, 95% CI: 1.18 to 1.68) post-stroke. Elevated TyG was also linked to an increased risk of early neurological deterioration (END) during hospital stay (RR 3.28, 95% CI: 1.71 to 6.30) and poor functional outcome at three months (RR 1.67, 95% CI: 1.18 to 2.37) follow-up. Subgroup analyses showed consistent results across study designs, geographic locations and sample sizes. Low to very low certainty of evidence across various outcomes was detected by GRADE. Conclusions: Elevated TyG index might be a significant predictor of mortality, recurrence, END and poor functional outcomes in stroke patients, emphasizing its potential as a prognostic biomarker. Further studies are needed to explore its utility in clinical decision-making.

Indexed as

Early neurological deteriorationMortalityStrokeStroke recurrenceTriglyceride-glucose index

Identifiers

PMID41244524
PMCPMC12616339

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.