Evidence map›Paper›PMID 40459442›Full record

ArticleBalkan medical journal2025

Triglyceride-Glucose Index Predicts Major Adverse Cardiovascular and Cerebrovascular Events in Non-Diabetic Individuals

Cangtuo Li, Qi Qi, Wansong Li, Xuechao Zhang, Lei Li, Jie Deng, Quanle Han, Shouling Wu, Kangbo Li

Abstract read
In one paragraph

Article in Balkan medical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
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  4. Observational
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.

Cangtuo LiDepartment of Vascular and Interventional Radiology, Tangshan Gongren Hospital, Tangshan, ChinaORCID 0009-0003-8526-9593
Qi QiHebei Medical University, Shijiazhuang, ChinaORCID 0009-0005-5107-7168
Wansong LiHebei Medical University, Shijiazhuang, ChinaORCID 0009-0000-8875-1615
Xuechao ZhangDepartment of Cardiology, Tangshan Gongren Hospital, Tangshan, ChinaORCID 0009-0002-7546-7425
Lei LiDepartment of Cardiology, Tangshan Gongren Hospital, Tangshan, ChinaORCID 0009-0000-7420-5496
Jie DengDepartment of Cardiology, Tangshan Gongren Hospital, Tangshan, ChinaORCID 0009-0004-4109-9075
Quanle HanDepartment of Cardiology, Tangshan Gongren Hospital, Tangshan, ChinaORCID 0000-0002-3200-9224
Shouling WuDepartment of Cardiology, Kailuan General Hospital, Tangshan, ChinaORCID 0000-0002-2921-7583
Kangbo LiSchool of Clinical Medicine, North China University of Science and Technology, Tangshan, ChinaORCID 0000-0003-0186-3265

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association between the triglyceride-glucose (TyG) index and the occurrence of major adverse cardiovascular and cerebrovascular events (MACCEs) in individuals without diabetes has not been clearly established. Aims: To investigate the potential of the TyG index to predict MACCEs in a non-diabetic population. Study Design: Prospective cohort study. Methods: This study analyzed data from 88,946 participants without diabetes, who were divided into four groups based on their TyG index values. The primary outcome was the occurrence of MACCEs, defined as myocardial infarction (MI) or stroke. Multivariable Cox proportional hazards regression models were used to assess the association between the TyG index and MACCEs. Results: Participants in the higher TyG index quartiles exhibited a greater risk of MACCEs. Moreover, a significant interaction between the TyG index and sex was identified, with a stronger association observed in women than in men. A significant interaction was also found between the TyG index and age in relation to MI risk, indicating a stronger associations in individuals younger than 60 compared to those aged 60 or older. Conclusion: The TyG index may serve as a useful prognostic marker for MACCEs among individuals without diabetes.

Indexed as

Blood GlucoseCardiovascular DiseasesCerebrovascular DisordersTriglyceridesAdultAgedBiomarkersCohort StudiesFemaleHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesRisk FactorsBiomarkersBlood GlucoseTriglycerides

Identifiers

PMID40459442
PMCPMC12240227

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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.