Evidence map›Paper›PMID 40328907›Full record

ArticleScientific reports2025

Association between triglyceride glucose weight adjusted waist index and stroke risk in different glucose metabolism status.

Guijun Huo, Ziyi Tan, Yao Tang, Jian Huang, Junjie Cao, Dayong Zhou

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

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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.

Guijun Huo *The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, No. 26 Daoqian Street, Suzhou, Jiangsu, China.
Ziyi Tan *The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, No. 26 Daoqian Street, Suzhou, Jiangsu, China.
Yao Tang *The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, No. 26 Daoqian Street, Suzhou, Jiangsu, China.
Jian HuangThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, No. 26 Daoqian Street, Suzhou, Jiangsu, China.
Junjie CaoThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, No. 26 Daoqian Street, Suzhou, Jiangsu, China.
Dayong ZhouThe Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, No. 26 Daoqian Street, Suzhou, Jiangsu, China. zhoudy@njmu.edu.cn.

Funding

Jiangsu Medical Association Interventional Medicine Phase III Special Fund Project SYH-3201140-0089Suzhou "Science and Education Revitalize Health" Youth Science and Technology Project KJXW2021031
6 · The paper itself

Abstract

The triglyceride glucose-weight adjusted waist index (TyG-WWI) has emerged as a straightforward and reliable alternative for assessing insulin resistance (IR). However, the relationship between the TyG-WWI index and the incidence of stroke, especially in individuals with different glucose metabolism status, is still unclear. The data for this study was obtained from the China Health and Retirement Longitudinal Study (CHARLS). The primary endpoint was the occurrence of stroke events. We utilized multivariate Cox proportional hazard models and restricted cubic spline (RCS) analysis to examine the relationship between the TyG-WWI index and the risk of stroke in individuals with different glycemic metabolic states. A total of 8895 participants were included in this study, 831 (9.3%) stroke events were recorded during the follow-up period. After fully adjusting for covariates, per SD increase in the TyG-WWI index was associated with a 11% increase in stroke risk (HR: 1.11, 95% CI 1.02, 1.20) in all participants. The TyG-WWI index was further categorized into quartiles, the adjusted HRs (95% CIs) for Q2, Q3, and Q4 compared to Q1 being 1.37 (95% CI 1.09, 1.72), 1.42 (95% CI 1.13, 1.78), and 1.50 (95% CI 1.17, 1.93), respectively. Furthermore, high levels of the TyG-WWI index were found to be linked to an increased risk of stroke in prediabetes mellitus (Pre-DM) participants across Cox models. However, this association was not observed in participants with normal glucose regulation (NGR) and diabetes mellitus (DM) (all P > 0.05). RCS analysis also demonstrated that higher baseline TyG-WWI index levels were associated with higher HRs for stroke in all participants and those with Pre-DM. The TyG-WWI index significantly associates with stroke risk in middle-aged and elderly Chinese populations. Moreover, this relationship exhibits distinct characteristics influenced by the individual's glucose metabolism status.

Indexed as

Blood GlucoseGlucoseStrokeTriglyceridesWaist CircumferenceAgedChinaFemaleHumansIncidenceInsulin ResistanceLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRisk FactorsBlood GlucoseGlucoseTriglyceridesCHARLSInsulin resistanceStrokeTriglyceride glucose indexWeight-adjusted waist index

Identifiers

PMID40328907
PMCPMC12056119

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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.