Evidence mapPaperPMID 37296457Full record

ArticleCardiovascular diabetology2023

The change of triglyceride-glucose index may predict incidence of stroke in the general population over 45 years old.

Yaoling Wu, Yongbiao Yang, Jinsheng Zhang, Shuo Liu, Weiduan Zhuang

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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 77 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 1 pooled it
field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

77 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yaoling WuShantou University Medical College, Shantou, Guangdong, China.
Yongbiao YangShantou University Medical College, Shantou, Guangdong, China.
Jinsheng ZhangShantou University Medical College, Shantou, Guangdong, China.
Shuo LiuNeurology Department, First Affiliated Hospital of Shantou University Medical College, No.57, ChangPing Road, JinPing District, ShanTou City, 515041, Guangdong Province, China.
Weiduan ZhuangNeurology Department, First Affiliated Hospital of Shantou University Medical College, No.57, ChangPing Road, JinPing District, ShanTou City, 515041, Guangdong Province, China. weiduanzhuang9@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStroke has been found to be highly correlated with the triglyceride-glucose (TyG) index. The relation between the TyG index changes and stroke, however, has seldom been reported, and current researches mentioning the TyG index concentrate on individual values. We aimed to investigate whether the level and the change of TyG index was associated with the incidence of stroke.

methodsSociodemographic, medical background, anthropometric and laboratory information were retrospectively collected. Classification was conducted using k-means clustering analysis. Logistic regressions were to determine the relationship between different classes with changes in the TyG index and incidence of stroke, taking the class with the smallest change as a reference. Meanwhile, restricted cubic spline regression was applied to examine the links of cumulative TyG index and stroke.

results369 (7.8%) of 4710 participants had a stroke during 3 years. Compared to class 1 with the best control of the TyG Index, the OR for class 2 with good control was 1.427 (95% CI, 1.051-1.938), the OR for class 3 with moderate control was 1.714 (95% CI, 1.245-2.359), the OR for class 4 with worse control was 1.814 (95% CI, 1.257-2.617), and the OR for class 5 with consistently high levels was 2.161 (95% CI, 1.446-3.228). However, after adjusting for multiple factors, only class 3 still had an association with stroke (OR 1.430, 95%CI, 1.022-2.000). The relation between the cumulative TyG index and stroke was linear in restricted cubic spline regression. In subgroup analysis, similar results were shown in participants without diabetes or dyslipidemia. There is neither additive nor multiplicative interaction between TyG index class and covariates.

conclusionA constant higher level with worst control in TyG index indicated a higher risk of stroke.

Indexed as

GlucoseStrokeBiomarkersBlood GlucoseHumansIncidenceMiddle AgedRetrospective StudiesRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesAssociationCHARLSK-means clusteringStrokeTriglyceride-glucose index

Identifiers

PMID37296457
PMCPMC10257314

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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 Socratic graph.