Evidence map›Paper›PMID 39223272›Full record

ArticleScientific reports2024

Association of triglyceride-glucose index with severity of coronary artery disease among male patients.

Lujing Tang, Xiaodong Xu, Mengsha Chen, Jiahao Li, Xiangyuan Pu

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

5 authors.

Lujing Tang *Department of Gastroenterology, The Children's Hospital Zhejiang University School of Medicine, 79 Qingchun Road, Hangzhou, 310003, China.
Xiaodong Xu *Department of Cardiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Mengsha Chen *School of Public Health, Zhejiang University School of Medicine, Hangzhou, China.
Jiahao LiDepartment of Cardiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xiangyuan PuDepartment of Cardiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China. x_pu@zju.edu.cn.

Funding

National Natural Science Foundation of China 81600339Natural Science Foundation of Zhejiang Province LY19H020009
6 · The paper itself

Abstract

The correlation between diabetes and coronary artery disease (CAD) is well established. Insulin resistance (IR) is considered a primary contributor to elevated CAD risk in diabetic individuals. The triglyceride-glucose (TyG) index serves as a straightforward surrogate marker for insulin resistance. However, few studies have explored their correlations with myocardial infarction and CAD severity. Therefore, our study aimed to investigate the association between the TyG index and the occurrence of myocardial infarction, as well as the severity of coronary artery disease. We conducted a retrospective study involving 3865 consecutive patients who underwent coronary angiography at the First Affiliated Hospital of Zhejiang University, School of Medicine. Of these, 1724 patients were diagnosed with coronary artery disease. Demographic, biochemical, clinical, and angiographic data were gathered. A robust correlation exists between the TyG index and CAD subtypes, suggesting its potential as an independent clinical diagnostic marker. Moreover, the TyG index exhibited a significant positive correlation with disease severity, as assessed by the Gensini score. Elevated TyG index was associated with an increased predisposition to severe CAD, as indicated by the Gensini score, and myocardial infarction, even after adjusting for well-established cardiovascular risk factors.

Indexed as

Blood GlucoseCoronary AngiographyCoronary Artery DiseaseSeverity of Illness IndexTriglyceridesAgedBiomarkersHumansInsulin ResistanceMaleMiddle AgedMyocardial InfarctionRetrospective StudiesRisk FactorsBiomarkersBlood GlucoseTriglyceridesCoronary artery diseaseInsulin resistanceMyocardial infarctionTyG index

Identifiers

PMID39223272
PMCPMC11369095

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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.