Evidence map›Paper›PMID 37620954›Full record

ArticleCardiovascular diabetology2023

The triglyceride-glucose index is associated with atherosclerosis in patients with symptomatic coronary artery disease, regardless of diabetes mellitus and hyperlipidaemia.

Jiao Li, Zixian Dong, Hao Wu, Yue Liu, Yafang Chen, Si Li, Yufan Zhang, Xin Qi, Liping Wei

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 2 pooled it
17.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

67 citing papers in PubMed, 2 syntheses or guidelines pooled it, 88 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Jiao Li *Department of Cardiology, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin, 300121, China.
Zixian Dong *Nankai University School of Medicine, Tianjin, 300071, China.
Hao Wu *Department of Cardiology, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin, 300121, China.
Yue LiuDepartment of Cardiology, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin, 300121, China.
Yafang ChenSchool of Graduate Studies, Tianjin University of Traditional Chinese Medicine, Tianjin, 301677, China.
Si LiSchool of Graduate Studies, Tianjin University of Traditional Chinese Medicine, Tianjin, 301677, China.
Yufan ZhangKey Laboratory of Bioactive Materials Ministry of Education, College of Life Sciences, and State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300071, China.
Xin QiDepartment of Cardiology, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin, 300121, China. qixin2011@126.com.
Liping WeiDepartment of Cardiology, Tianjin Union Medical Center, Nankai University Affiliated Hospital, Tianjin, 300121, China. weilipingme@163.com.
Nankai University · CNTianjin University of Traditional Chinese Medicine · CNState Key Laboratory of Medicinal Chemical Biology

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes and hyperlipidaemia are both risk factors for coronary artery disease, and both are associated with a high triglyceride-glucose index (TyG index). The TyG index has been presented as a marker of insulin resistance (IR). Its utility in predicting and detecting cardiovascular disease has been reported. However, few studies have found it to be a helpful marker of atherosclerosis in patients with symptomatic coronary artery disease (CAD). The purpose of this study was to demonstrate that the TyG index can serve as a valuable marker for predicting coronary and carotid atherosclerosis in symptomatic CAD patients, regardless of diabetes mellitus and hyperlipidaemia.

methodsThis study included 1516 patients with symptomatic CAD who underwent both coronary artery angiography and carotid Doppler ultrasound in the Department of Cardiology at Tianjin Union Medical Center from January 2016 to December 2022. The TyG index was determined using the Ln formula. The population was further grouped and analysed according to the presence or absence of diabetes and hyperlipidaemia. The Gensini score and carotid intima-media thickness were calculated or measured, and the patients were divided into four groups according to TyG index quartile to examine the relationship between the TyG index and coronary or carotid artery lesions in symptomatic CAD patients.

resultsIn symptomatic CAD patients, the TyG index showed a significant positive correlation with both coronary lesions and carotid plaques. After adjusting for sex, age, smoking, BMI, hypertension, diabetes, and the use of antilipemic and antidiabetic agents, the risk of developing coronary lesions and carotid plaques increased across the baseline TyG index. Compared with the lowest quartile of the TyG index, the highest quartile (quartile 4) was associated with a greater incidence of coronary heart disease [OR = 2.55 (95% CI 1.61, 4.03)] and carotid atherosclerotic plaque [OR = 2.31 (95% CI 1.27, 4.20)] (P < 0.05). Furthermore, when compared to the fasting blood glucose (FBG) or triglyceride (TG) level, the TyG index had a greater area under the ROC curve for predicting coronary lesions and carotid plaques. The subgroup analysis demonstrated the TyG index to be an equally effective predictor of coronary and carotid artery disease, regardless of diabetes and hyperlipidaemia.

conclusionThe TyG index is a useful marker for predicting coronary and carotid atherosclerosis in patients with symptomatic CAD, regardless of diabetes mellitus and hyperlipidaemia. The TyG index is of higher value for the identification of both coronary and carotid atherosclerotic plaques than the FBG or TG level alone.

Indexed as

AtherosclerosisCarotid Artery DiseasesCoronary Artery DiseaseDiabetes MellitusHyperlipidemiasPlaque, AtheroscleroticCarotid Intima-Media ThicknessHumansCarotid atherosclerosisCoronary atherosclerosisDiabetes mellitusHyperlipidaemiaRisk factorsTriglyceride-glucose index

Identifiers

PMID37620954
PMCPMC10463708
OpenAlexW4386127141

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.