Evidence map›Paper›PMID 28830471›Full record

Observational studyCardiovascular diabetology2017

Relationship between the triglyceride glucose index and coronary artery calcification in Korean adults.

Min Kyung Kim, Chul Woo Ahn, Shinae Kang, Ji Sun Nam, Kyung Rae Kim, Jong Suk Park

2 registry-linked trialsOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in Cardiovascular diabetology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 145 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 6 pooled it
12.6field-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.

NCT07042321 recruitingnot on this mapstarted 2024, after this paper: background citation

Triglyceride Glucol Index for Predicting the Value of No-Reflow in Patients Undergoing Emergency PCI for Acute Myocardial Infarction

Typeobservational_patient_registrySponsorThe Third Xiangya Hospital of Central South UniversityRan2024 to 2025Enrolled300ConditionsAcute Myocardial Infarction (AMI)
NCT07130188 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

The Significance of Triglyceride Index and TG/HDL-C Ratios as Predictors of Acute Coronary Syndromes in Young Population and the Complexity of Coronary Artery Disease

TypeobservationalSponsorAssiut UniversityRan2025 to 2026Enrolled130ConditionsTG Index, TG/HDL-C Ratio, Young PopulationArmsPCI
3 · Its place in the literature

Who cites it

145 citing papers in PubMed, 6 syntheses or guidelines pooled it, 273 citations in OpenAlex.

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85 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

6 authors at 2 institutions in 1 country.

Min Kyung KimDivision of Endocrinology, Department of Internal Medicine, Hallym University Kangdong Sacred Heart Hospital, 150, Seongan-ro, Gangdong-gu, Seoul, South Korea.
Chul Woo AhnDepartment of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, South Korea.
Shinae KangDepartment of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, South Korea.
Ji Sun NamDepartment of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, South Korea.
Kyung Rae KimDepartment of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, South Korea.
Jong Suk ParkDepartment of Internal Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, South Korea. PJS00@yuhs.ac.ORCID 0000-0002-5385-1373
Yonsei University · KRHallym University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe triglyceride glucose (TyG) index has been considered a simple surrogate marker of insulin resistance. However, few studies have investigated the relationship between the TyG index and coronary artery calcification (CAC). Thus, we investigated the relationship between the TyG index and CAC in healthy Korean adults.

methodsIn total, 4319 participants who underwent cardiac computed tomography (CT) in a health promotion center were enrolled. Anthropometric profiles and multiple cardiovascular risk factors were measured. The TyG index was calculated as ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2], and the insulin resistance index of homeostasis model assessment (HOMA-IR) was estimated. The CAC was measured using multidetector CT, and CAC presence was defined as an Agatston score of >0.

resultsAll subjects were stratified into four groups based on their TyG indices. Significant differences were observed in cardiovascular parameters among the groups, and the prevalence of CAC significantly increased with increasing TyG index. In the logistic regression analysis after adjustment for multiple risk factors, the odds ratio for the prevalence of CAC, when comparing the highest and lowest quartiles of the TyG index was 1.95 (95% CI 1.23-3.11; P for trend = 0.01); the odds ratio for the prevalence of CAC, when comparing the highest and lowest quartiles of HOMA-IR was 1.64 (95% CI 1.12-2.40; P for trend = 0.04). In the receiver operating characteristics analysis, the TyG index was superior to HOMA-IR in predicting CAC.

conclusionThe TyG index is more independently associated with the presence of coronary artery atherosclerosis than is HOMA-IR in healthy Korean adults.

Indexed as

AdultAgedBiomarkersCoronary Artery DiseaseCross-Sectional StudiesFemaleGlucoseHumansMaleMiddle AgedRepublic of KoreaTriglyceridesVascular CalcificationBiomarkersGlucoseTriglyceridesAtherosclerosisCoronary artery calcificationHOMA-IRTyG index

Identifiers

PMID28830471
PMCPMC5568209
OpenAlexW2746448199

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.