Evidence map›Paper›PMID 40739633›Full record

ArticleCardiovascular diabetology2025

Triglyceride glucose-weight-adjusted waist index as a cardiovascular mortality predictor: incremental value beyond the establishment of TyG-related indices.

Jiajun Qiu, Jin'e Li, Shan Xu, Jingqi Yang, Haixia Zeng, Yuying Zhang, Shiqi Yang, Lixuan Fang, Jiadian Huang, Hongtao Zhou and 4 more

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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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3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline 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

14 authors.

Jiajun QiuDepartment of Endocrinology and Metabolism of the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, 330006, Jiangxi, China.
Jin'e LiDepartment of Endocrinology and Metabolism of the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, 330006, Jiangxi, China.
Shan XuDepartment of Endocrinology and Metabolism of the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, 330006, Jiangxi, China.
Jingqi YangDepartment of Cardiovascular Medicine, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Haixia ZengDepartment of Endocrinology and Metabolism of the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, 330006, Jiangxi, China.
Yuying ZhangDepartment of Endocrinology and Metabolism of the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, 330006, Jiangxi, China.
Shiqi YangDepartment of Endocrinology and Metabolism of the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, 330006, Jiangxi, China.
Lixuan FangDepartment of Endocrinology and Metabolism of the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, 330006, Jiangxi, China.
Jiadian HuangDepartment of Endocrinology and Metabolism of the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, 330006, Jiangxi, China.
Hongtao ZhouDepartment of Endocrinology and Metabolism of the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, 330006, Jiangxi, China.
Jiaying FengDepartment of Endocrinology and Metabolism of the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, 330006, Jiangxi, China.
Yujie ZanDepartment of Endocrinology and Metabolism of the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, 330006, Jiangxi, China.
Jia ZhanDepartment of Endocrinology and Metabolism of the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, 330006, Jiangxi, China.
Jianping LiuDepartment of Endocrinology and Metabolism of the Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Nanchang, 330006, Jiangxi, China. ndefy14105@ncu.edu.cn.

Funding

Jiangxi Province Key Laboratory of Molecular Medicine No.2024SSY06231Key Research, Development Program of Jiangxi Province 20243BBI91008National Natural Science Foundation of China No.82160162Project of the Second Affiliated Hospital of Nanchang University 2022efyA04
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) remains the leading cause of mortality worldwide, emphasizing the need for enhanced risk stratification tools. The triglyceride‒glucose-weight adjusted waist index (TyG-WWI), which integrates insulin resistance and central obesity, has emerged as a potential predictor, but its performance relative to traditional TyG-related indices (TyG, TyG-WC, TyG-WHtR) requires further validation.

methodsWe analyzed data from 24,255 participants in the National Health and Nutrition Examination Survey (NHANES, 1999-2018). Weighted Cox proportional hazards models were used to assess the associations between TyG-related indices and cardiovascular mortality. Restricted cubic splines (RCSs) with four knots were employed to explore dose‒response relationships. Traditional and time-dependent receiver operating characteristic (ROC) analyses, net reclassification improvement (NRI) analyses, and subgroup and sensitivity analyses were conducted to evaluate predictive performance and robustness.

resultsOver a median follow-up of 9.67 years, 854 cardiovascular deaths were recorded. According to the fully adjusted models, each increase in the standard deviation of the TyG-WWI was associated with a 45% greater risk of cardiovascular mortality (HR = 1.45, 95% CI 1.31-1.60), which was stronger than the associations observed for TyG (HR = 1.24, 95% CI 1.12-1.38), TyG-WC (HR = 1.39, 95% CI 1.27-1.53), and TyG-WHtR (HR = 1.43, 95% CI 1.30-1.58). When stratified by quartiles, the TyG-WWI exhibited a clear dose‒response relationship. RCS analyses revealed that the TyG-WWI had a linear association with cardiovascular mortality (P-nonlinear = 0.491), whereas the TyG index exhibited a U-shaped association, and the TyG-WC index and TyG-WHtR showed L-shaped associations (all P-nonlinear < 0.05). Traditional ROC analysis revealed that the TyG-WWI had the highest AUC (0.694, 95% CI 0.678-0.710). Time-dependent ROC analyses demonstrated that the AUC for the TyG-WWI ranged from 0.706 to 0.751 across different follow-up time points, which was consistently greater than those of the other TyG-related indices. NRI analyses indicated significant improvements in risk reclassification when the TyG-WWI was used compared with traditional TyG-related indices (10.4% vs. TyG, 9.4% vs. TyG-WC, 9.1% vs. TyG-WHtR). Subgroup analyses revealed stronger associations in younger adults (≤ 60 years, HR = 2.03, 95% CI 1.78-2.32).

conclusionThe current study is the first to validate that the TyG-WWI is a reliable risk prediction tool for cardiovascular death in the general population and has greater predictive value than traditional TyG-related parameters. The results support its potential as a supplementary tool among TyG-derived markers for assessing cardiovascular death.

Indexed as

Blood GlucoseCardiovascular DiseasesObesity, AbdominalTriglyceridesWaist CircumferenceAdultAgedBiomarkersFemaleHeart Disease Risk FactorsHumansInsulin ResistanceMaleMiddle AgedNutrition SurveysPredictive Value of TestsBiomarkersBlood GlucoseTriglyceridesCardiovascular mortalityIncremental valueInsulin resistanceTyG indexTyG-WCTyG-WHtRTyG-WWI

Identifiers

PMID40739633
PMCPMC12312566

What Socratic holds

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LicenceCC BY-NC-ND
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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.