Evidence map›Paper›PMID 31281548›Full record

ArticleDisease markers2019

The Triglyceride-Glucose Index Predicts Coronary Artery Disease Severity and Cardiovascular Outcomes in Patients with Non-ST-Segment Elevation Acute Coronary Syndrome.

Qi Mao, Denglu Zhou, Youmei Li, Yuqing Wang, Shang-Cheng Xu, Xiao-Hui Zhao

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Disease markers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 128 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
128citing papers in PubMed, 7 pooled it
20.4field-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

128 citing papers in PubMed, 7 syntheses or guidelines pooled it, 243 citations in OpenAlex.

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68 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 1 institution in 1 country.

Qi MaoDepartment of Cardiovascular Medicine, Institute of Cardiovascular Research, Xinqiao Hospital, Army Medical University, Chongqing 400037, China.ORCID 0000-0002-6040-0116
Denglu ZhouDepartment of Cardiovascular Medicine, Institute of Cardiovascular Research, Xinqiao Hospital, Army Medical University, Chongqing 400037, China.
Youmei LiDepartment of Cardiovascular Medicine, Institute of Cardiovascular Research, Xinqiao Hospital, Army Medical University, Chongqing 400037, China.
Yuqing WangDepartment of Cardiovascular Medicine, Institute of Cardiovascular Research, Xinqiao Hospital, Army Medical University, Chongqing 400037, China.
Shang-Cheng XuDepartment of Occupational Health, Army Medical University, Chongqing 400038, China.
Xiao-Hui ZhaoDepartment of Cardiovascular Medicine, Institute of Cardiovascular Research, Xinqiao Hospital, Army Medical University, Chongqing 400037, China.ORCID 0000-0003-2867-2864
Army Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-ST-segment elevation acute coronary syndrome (NSTE-ACS) is the leading cause of morbidity and mortality from cardiovascular disease worldwide. Several recent studies have shown the relationship between the triglyceride-glucose (TyG) index and vascular disease; however, the role of the TyG index in NSTE-ACS has not been extensively assessed. Thus, we aimed to investigate the association of the TyG index with cardiovascular risk factors and outcomes in NSTE-ACS. Overall, 438 patients with NSTE-ACS were enrolled to examine the association of the TyG index with the SYNTAX score and major adverse cardiovascular events (MACEs). The TyG index was calculated as ln (fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2). The severity of coronary lesions was quantified by the SYNTAX score. MACEs included cardiac death, nonfatal myocardial infarction, target vessel revascularization, congestive heart failure, and nonfatal stroke. All the patients underwent a 12-month follow-up for MACEs after admission. Multivariate regression analysis identified metabolic risk factors as independent parameters correlated with the TyG index. The prevalence of glucose metabolism disorder, metabolic syndrome, and MACEs increased with increasing TyG index. The TyG index showed a strong diagnostic performance for cardiovascular risk factors and was independently associated with the SYNTAX score (OR 6.055, 95% CI 2.915-12.579,

Indexed as

Acute Coronary SyndromeAgedBiomarkersBlood GlucoseCoronary Artery DiseaseElectrocardiographyFemaleHumansMaleMiddle AgedTriglyceridesBiomarkersBlood GlucoseTriglycerides

Identifiers

PMID31281548
PMCPMC6594265
OpenAlexW2950683700

What OpenQuestion holds

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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.