Evidence map›Paper›PMID 42750797›Full record

ArticleiScience2026

Nine anthropometric insulin resistance indices predict mortality and life expectancy across glucose states.

Yi Tang, Yameng Xu, Zilong Yue, Wencai Wang, Song Wen, Haiyang Wang, Lingyun Liu, Juncang Wu, Zhonghua Sun

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yi TangDepartment of Neurology, Anhui Medical University, Hefei 230032, China.
Yameng XuDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Zilong YueDepartment of General Surgery, Guoyang Branch of Anhui Provincial Hospital, Bozhou 233600, China.
Wencai WangThe Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China.
Song WenDepartment of Cardiology, Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Haiyang WangCollege of Life Sciences, Anhui Normal University, Wuhu, Anhui 241000, China.
Lingyun LiuDepartment of Intensive Care Unit, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, China.
Juncang WuDepartment of Neurology, Anhui Medical University, Hefei 230032, China.
Zhonghua SunMedical School of Nanjing University, Nanjing 210093, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We compared the impact of insulin resistance indicators (triglyceride-glucose index, TyG) combined with different obesity metrics on long-term survival rates across varying states of glucose metabolism. In 11,787 U.S. adults aged ≥45 years from NHANES (1999-2018; mortality follow-up through December 31, 2019) and 12,915 participants from CHARLS for external validation, we examined nine TyG-derived indices using glycemic-status-stratified Cox models and flexible dose-response analyses, and assessed their predictive utility and clinical net benefit. The TyG index combined with a body shape index (TyG-ABSI) showed relatively consistent associations with all-cause and cardiovascular mortality and comparatively favorable incremental predictive performance; external validation in CHARLS supported its association with all-cause mortality, although its standalone discriminatory ability was modest. Higher TyG-ABSI was also associated with shorter life expectancy and a larger estimated population-attributable fraction, supporting its potential role in risk stratification across glucose metabolism states.

Indexed as

all-cause mortalitycardiovascular mortalitycentral obesityCHARLSinsulin resistancelife expectancyNHANEStriglyceride-glucose indexTyG-ABSI

Identifiers

PMID42750797
PMCPMC13577881

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.