Evidence map›Paper›PMID 34542800›Full record

ArticleEndocrine2022

Triglyceride-glucose index associated with the risk of cardiovascular disease: the Kailuan study.

Qian Liu, Haozhe Cui, Yihan Ma, Xu Han, Zhiwei Cao, Yuntao Wu

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Article in Endocrine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 5 pooled it
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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

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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

44 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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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

6 authors.

Qian Liu *Graduate School, North China University of Science and Technology, Tangshan, China.
Haozhe Cui *School of Medicine, Nankai University, Tianjin, China.
Yihan MaGraduate School, North China University of Science and Technology, Tangshan, China.
Xu HanGraduate School, North China University of Science and Technology, Tangshan, China.
Zhiwei CaoDepartment of Cardiology, Luanzhou People's Hospital, Tangshan, China.
Yuntao WuDepartment of Cardiology, Kailuan General Hospital, North China University of Science and Technology, Tangshan, China. wyt0086@163.com.ORCID http://orcid.org/0000-0003-0331-0285

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrevious studies suggest that triglyceride-glucose index (TyG) index, as a marker of insulin resistance, may have associations with the risk of cardiovascular diseases (CVD) in elderly population. Given the paucity of data, it remains controversial, especially in general Chinese population. We aimed to further assess whether TyG index is an independent risk factor for CVD.

methodsWe conducted a prospective cohort study that enrolled a total of 96,541 participants from the Kailuan Study. TyG index was calculated as ln (fasting triglyceride [mg/dL] × fasting glucose [mg/dL]/2). Participants were divided into four groups (Q1, Q2, Q3, and Q4) by quartiles of the TyG index. Any CVD events occurred during 2006-2017 were recorded, including myocardial infarction (MI) and stroke. We assessed the association of TyG index with the risk of CVD and the subtypes of CVD by using Cox models estimated hazard ratios (HRs) and 95% confidence interval (CIs).

resultsDuring a median follow-up of 10.33 years, totally 6421 CVD events, 1493 MIs, and 5083 stroke events occurred. Multivariate Cox regression analysis showed that compared with Q1, HR (95% CI) for CVD events was 1.12 (95%, 1.03-1.21) in Q2, 1.28 (95%, 1.18-1.38) in Q3, and 1.34 (95%, 1.23-1.45) in Q4. In a time-dependent Cox Model we also found that compared with Q1, HR (95% CI) for CVD events was 1.09 (95%, 1.02-1.18) in Q2, 1.18 (95%, 1.09-1.27) in Q3, and 1.20 (95%, 1.11-1.30) in Q4. Similar results were showed in MI and stroke.

conclusionsTyG index as a marker of insulin resistance was an independent risk factor for CVD. This may help in the early identification of people at high risk of CVD and be applicable to the primordial and primary prevention.

Indexed as

Cardiovascular DiseasesAgedBiomarkersBlood GlucoseGlucoseHumansProspective StudiesRisk AssessmentRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesCardiovascular diseaseProspective cohort studyRisk factorsTriglyceride-glucose index

Identifiers

PMID34542800

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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.