Evidence map›Paper›PMID 31937313›Full record

ArticleLipids in health and disease2020

Triglyceride glucose index is a useful marker for predicting subclinical coronary artery disease in the absence of traditional risk factors.

Gyung-Min Park, Young-Rak Cho, Ki-Bum Won, Yu Jin Yang, Sangwoo Park, Soe Hee Ann, Yong-Giun Kim, Eun Ji Park, Shin-Jae Kim, Sang-Gon Lee and 7 more

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 2 pooled it
15.2field-weighted citation impact, top 1% of its field
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

74 citing papers in PubMed, 2 syntheses or guidelines pooled it, 161 citations in OpenAlex.

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  12. The Triglyceride-Glucose Index is associated with hospital and Intensive Care Unit Mortality in critically ill patients with Acute Coronary Syndrome.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2026
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14 more citing papers are in PubMed but not listed here.

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

17 authors at 3 institutions in 1 country.

Gyung-Min ParkDivision of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojinsunhwando-ro, Dong-gu, Ulsan, 44033, Republic of Korea.
Young-Rak ChoDivision of Cardiology, Dong-A University Hospital, Busan, Republic of Korea.
Ki-Bum WonDivision of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojinsunhwando-ro, Dong-gu, Ulsan, 44033, Republic of Korea. kbwon99@naver.com.ORCID http://orcid.org/0000-0001-5502-9933
Yu Jin YangDivision of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojinsunhwando-ro, Dong-gu, Ulsan, 44033, Republic of Korea.
Sangwoo ParkDivision of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojinsunhwando-ro, Dong-gu, Ulsan, 44033, Republic of Korea.
Soe Hee AnnDivision of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojinsunhwando-ro, Dong-gu, Ulsan, 44033, Republic of Korea.
Yong-Giun KimDivision of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojinsunhwando-ro, Dong-gu, Ulsan, 44033, Republic of Korea.
Eun Ji ParkMedical information Center, Ulsan University Hospital, Ulsan, Republic of Korea.
Shin-Jae KimDivision of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojinsunhwando-ro, Dong-gu, Ulsan, 44033, Republic of Korea.
Sang-Gon LeeDivision of Cardiology, Ulsan University Hospital, University of Ulsan College of Medicine, 877 Bangeojinsunhwando-ro, Dong-gu, Ulsan, 44033, Republic of Korea.
Dong Hyun YangDivision of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Joon-Won KangDivision of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Tae-Hwan LimDivision of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Hong-Kyu KimDivision of Health Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Jaewon ChoeDivision of Health Screening and Promotion Center, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Seung-Whan LeeDivision of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Young-Hak KimDivision of Cardiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Ulsan College · KRDong-A University Hospital · KRUlsan University Hospital · KR

Funding

National Research Foundation (KR) 2018R1D1A3B07043344
6 · The paper itself

Abstract

backgroundAtherosclerotic cardiovascular (CV) events commonly occur in individuals with a low CV risk burden. This study evaluated the ability of the triglyceride glucose (TyG) index to predict subclinical coronary artery disease (CAD) in asymptomatic subjects without traditional CV risk factors (CVRFs).

methodsThis retrospective, cross-sectional, and observational study evaluated the association of TyG index with CAD in 1250 (52.8 ± 6.5 years, 46.9% male) asymptomatic individuals without traditional CVRFs (defined as systolic/diastolic blood pressure ≥ 140/90 mmHg; fasting glucose ≥126 mg/dL; total cholesterol ≥240 mg/dL; low-density lipoprotein cholesterol ≥160 mg/dL; high-density lipoprotein cholesterol < 40 mg/dL; body mass index ≥25.0 kg/m

resultsThe prevalence of CAD increased with elevating TyG index tertiles (group I: 14.8% vs. group II: 19.3% vs. group III: 27.6%; P < 0.001). Multivariate logistic regression models showed that TyG index was associated with an increased risk of CAD (odds ratio [OR] 1.473, 95% confidence interval [CI] 1.026-2.166); especially non-calcified (OR 1.581, 95% CI 1.002-2.493) and mixed plaques (OR 2.419, 95% CI 1.051-5.569) (all P < 0.05). The optimal TyG index cut-off for predicting CAD was 8.44 (sensitivity 47.9%; specificity 68.5%; area under the curve 0.600; P < 0.001). The predictive value of this cut-off improved after considering the non-modifiable factors of old age and male sex.

conclusionsTyG index is an independent marker for predicting subclinical CAD in individuals conventionally considered healthy.

Indexed as

Blood GlucoseAgedAtherosclerosisBiomarkersCholesterol, LDLComputed Tomography AngiographyCoronary Artery DiseaseFemaleGlucoseHeartHumansMaleMiddle AgedMultivariate AnalysisRisk FactorsTriglyceridesBiomarkersBlood GlucoseCholesterol, LDLGlucoseTriglyceridesAtherosclerosisCoronary computed tomographic angiographyRisk factorTriglyceride glucose index

Identifiers

PMID31937313
PMCPMC6961240
OpenAlexW2998906305

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.