Evidence map›Paper›PMID 39493774›Full record

ArticleFrontiers in endocrinology2024

Triglyceride-glucose index prediction of stroke incidence risk in low-income Chinese population: a 10-year prospective cohort study.

Xiao Li, Juan Hao, Qingqing Han, Di Wang, Yuting Lu, Jun Tu, Lifeng Wang, Jinghua Wang, Xianjia Ning, Chunsheng Yang and 1 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

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10citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

What it found

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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

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

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4 · The record

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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

11 authors.

Xiao Li *Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.
Juan Hao *Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.
Qingqing HanCollege of Anesthesiology, Shanxi Medical University, Taiyuan, China.
Di WangCollege of Anesthesiology, Shanxi Medical University, Taiyuan, China.
Yuting LuSchool of Basic Medical Sciences, Tianjin Medical University, Tianjin, China.
Jun TuDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, China.
Lifeng WangInstitute of Clinical Epidemiology & Evidence-Based Medicine, Tianjin Jizhou People's Hospital, Tianjin, China.
Jinghua WangDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, China.
Xianjia NingDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, China.
Chunsheng YangDepartment of Neurology, Tianjin Medical University General Hospital, Tianjin, China.
Yan LiInstitute of Clinical Epidemiology & Evidence-Based Medicine, Tianjin Jizhou People's Hospital, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: The Triglyceride-Glucose (TyG) index, an indicator of insulin resistance, has been proposed as a predictor of cardiovascular diseases. However, its role in predicting stroke risk, particularly in low-income populations, is not well understood. This study aimed to investigate the predictive value of the TyG index for stroke incidence in a low-income Chinese population, with a focus on gender and age-specific differences. Methods: This 10-year prospective cohort study included 3,534 participants aged ≥45 years from rural areas in northern China. Baseline data on demographic characteristics, lifestyle factors, and clinical measurements were collected. Participants were followed for stroke incidence, categorized into ischemic and hemorrhagic stroke. Multivariate logistic regression models were used to assess the association between the TyG index and stroke incidence, adjusting for potential confounders. Results: During the follow-up period, 368 participants (10.4%) experienced a stroke, with 327 ischemic and 31 hemorrhagic strokes. TyG index was significantly associated with total and ischemic stroke incidence but not hemorrhagic stroke. After adjusting for confounding factors, for every one standard deviation increase in TyG index, the risk of stroke increased by 32% for overall stroke (RR: 1.32; 95% CI: 1.08-1.61; P=0.006) and 39% for ischemic stroke (RR: 1.39; 95% CI: 1.12-1.73; P=0.003). The risk of stroke in the highest TyG tertile levels (tertile 3) increased by 49% (RR: 1.49; 95% CI 1.11-1.99; P=0.007) for overall stroke, compared to those in the lowest tertile levels (tertile 1). For ischemic stroke, the risk of stroke increased by 53% (RR: 1.53; 95% CI 1.12-2.11; P=0.008) in the highest TyG tertile levels (tertile 3) compared to those in the lowest tertile levels (tertile 1). Conclusion: This 10-year prospective cohort study has established the TyG index as an independent predictor of both total and ischemic stroke incidence in a low-income Chinese population. The findings indicate that the TyG index is particularly effective in predicting stroke risk among women and older adults (≥60 years), but not for hemorrhagic stroke. These insights are crucial for improving clinical practice and stroke prevention strategies.

Indexed as

Blood GlucoseStrokeTriglyceridesAgedChinaCohort StudiesEast Asian PeopleFemaleFollow-Up StudiesHumansIncidenceInsulin ResistanceIschemic StrokeMaleMiddle AgedPovertyBlood GlucoseTriglyceridesepidemiologymetabolismrisk factorsstrokeTyG index

Identifiers

PMID39493774
PMCPMC11528446

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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.