Evidence map›Paper›PMID 42607038›Full record

ArticlePloS one2026

Triglyceride-glucose index is associated with the severity of coronary artery disease.

Di Wang, Ying Wang, Fangfang Li, Zhenyu Wang, Kangde Zeng, Shujun Yan, Danyang Liu, Degen Pei, Ling Weng, Enze Jin

Abstract read
In one paragraph

Article in PloS one, 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

10 authors.

Di WangThe Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Ying WangThe Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Fangfang LiThe Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Zhenyu WangThe Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Kangde ZengThe Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Shujun YanThe Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Danyang LiuThe Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Degen PeiThe Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Ling WengThe Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Enze JinThe Fourth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.ORCID https://orcid.org/0000-0003-2127-2083

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease(CVD) remains a leading cause of mortality worldwide. Among CVDs, coronary heart disease (CHD) is the most prevalent and represents the primary contributor to chronic disease-related deaths globally. The triglyceride-glucose (TyG) index has been shown to correlate significantly with both mortality and cardiovascular events, indicating its potential as an independent prognostic marker for cardiovascular outcomes. This study aimed to investigate variations in the TyG index among patients stratified by disease severity using Gensini scores and to evaluate the association between the TyG index and disease severity, as well as its diagnostic efficacy in combination with serum biomarkers. A total of 861 patients diagnosed with CHD who underwent coronary angiography were included. All participants were admitted to the Fifth Ward, Department of Cardiovascular Medicine, at the Fourth Affiliated Hospital of Harbin Medical University between June 2022 and June 2024. Comprehensive data, including demographics, laboratory findings, and medical history, were collected from medical records. Based on the Gensini scores derived from coronary angiography, patients were categorized into three groups-low, moderate, and high stenosis-representing the severity of coronary artery occlusion. Multivariate logistic regression analysis was performed to assess the relationship between the TyG index and coronary artery disease severity. TyG levels differed significantly between the mild and severe stenosis groups (p = 0.0021), and between the moderate and severe groups (p = 0.0173). The TyG index, treated as a continuous variable, was significantly associated with coronary stenosis (odds ratio [OR] = 1.591; 95% confidence interval [CI]: 1.237-1.866). After adjusting for confounding factors including age, sex, diabetes, and hypertension, individuals in the second, third, and fourth TyG quartiles exhibited higher odds ratios for severe coronary stenosis compared to the reference group (OR = 0.932; 95% CI: 0.642-1.351; OR = 1.045; 95% CI: 0.691-1.581; OR = 1.101; 95% CI: 0.605-2.004). These findings indicate that the TyG index is positively associated with the extent of coronary artery stenosis and may serve as an indicator of atherosclerosis severity.

Indexed as

Blood GlucoseCoronary Artery DiseaseTriglyceridesAgedBiomarkersCoronary AngiographyFemaleHumansMaleMiddle AgedPrognosisSeverity of Illness IndexBiomarkersBlood GlucoseTriglycerides

Identifiers

PMID42607038
PMCPMC13480658

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.