Evidence mapPaperPMID 42213040Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2026

First Comparative Evaluation of TyG-ABSI Versus Traditional TyG-Related Indices for Cardiovascular Disease and Mortality Prediction in Hypertensive Patients: TyG-ABSI Versus Traditional TyG-Related Indices.

Qiang Su, Yan Qin, Wan-Zhong Huang, Li-Rong Mo, Hua-Feng Yang, Qiang Wu

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qiang SuDepartment of Cardiology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Yan QinDepartment of Cardiology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Wan-Zhong HuangDepartment of Cardiology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Li-Rong MoDepartment of Cardiology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region, Nanning, Guangxi, China.
Hua-Feng YangCardiothoracic Surgery Intensive Care Unit, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Qiang WuSenior Department of Cardiology, Chinese PLA General Hospital, Beijing, China.

Funding

Guangxi Medical and Healthcare Appropriate Technology Development and Promotion Application Project S2024095Key Research and Development Program of Guangxi Zhuang Autonomous Region GuikeAB24010071
6 · The paper itself

Abstract

Hypertension contributes substantially to the global burden of cardiovascular disease (CVD) and mortality. TyG-ABSI is a novel composite marker integrating insulin resistance and central obesity, both closely related to hypertensive pathophysiology. However, its predictive value in hypertensive populations remains unclear. This study investigated the association between TyG-ABSI and CVD and mortality among hypertensive adults and compared its predictive ability with traditional TyG-related indices. Data were obtained from the NHANES cycles from 2003 to 2018, including 7,775 participants with hypertension (mean age 56.68 ± 0.26 years; 50.42% male). Weighted Cox proportional hazards models and logistic regression were used to analyze associations with mortality outcomes and CVD, respectively. Kaplan-Meier curves and restricted cubic spline analyses were also conducted. Model performance was evaluated using ROC curves, continuous NRI, and IDI, with subgroup and sensitivity analyses assessing robustness. TyG-ABSI was significantly associated with increased risks of CVD, all-cause mortality, and cardiovascular mortality. Each 1-unit increase in TyG-ABSI was linked to a 38% higher risk of CVD (OR 1.38, 95% CI: 1.15-1.67), 84% higher all-cause mortality (HR 1.84, 95% CI: 1.51-2.24), and 83% higher cardiovascular mortality (HR 1.83, 95% CI: 1.37-2.45). Dose-response relationships were observed in tertile analyses and RCS models. Compared with traditional TyG-related indices, TyG-ABSI showed better predictive performance with higher AUC and significant improvements in NRI and IDI. These findings suggest that TyG-ABSI may serve as an effective tool for risk stratification in hypertensive patients.

Indexed as

cardiovascular diseasehypertensionmortalitytraditional TyG‐related indicesTyG‐ABSI

Identifiers

PMID42213040
PMCPMC13239319

What Socratic holds

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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.