Evidence map›Paper›PMID 39915878›Full record

ArticleCardiovascular diabetology2025

Assessment of six insulin resistance surrogate indexes for predicting stroke incidence in Chinese middle-aged and elderly populations with abnormal glucose metabolism: a nationwide prospective cohort study.

Luqing Jiang, Tengxiao Zhu, Wenjing Song, Ying Zhai, Yu Tang, Fengxia Ruan, Zichen Xu, Lei Li, Xia Fu, Daoqin Liu and 2 more

Abstract readComparative Study
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 58 papers, 1 of them a synthesis that pooled it.

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58citing 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

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

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Luqing JiangDepartment of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
Tengxiao ZhuDepartment of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
Wenjing SongDepartment of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
Ying ZhaiDepartment of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
Yu TangDepartment of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
Fengxia RuanDepartment of Laboratory, The Second People's Hospital of Wuhu, Wuhu, Anhui, China.
Zichen XuDepartment of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
Lei LiDepartment of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
Xia FuDepartment of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
Daoqin LiuDepartment of Nephrology, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China.
Aidong ChenThe Key Laboratory of Targeted Intervention of Cardiovascular Disease, Collaborative Innovation Center for Cardiovascular Disease Translational Medicine, Department of Physiology, Nanjing Medical University, Nanjing, Jiangsu, China. aidongchen@njmu.edu.cn.
Qiwen WuDepartment of Laboratory, The First Affiliated Hospital of Wannan Medical College, Wuhu, Anhui, China. 20141283@wnmc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEstimate glucose disposal rate (eGDR), Chinese visceral adiposity index (CVAI), triglyceride-glucose (TyG), TyG-body mass index (TyG-BMI), metabolic score for insulin resistance (METS-IR), and atherogenic index of plasma (AIP) are considered surrogate indexes of insulin resistance (IR). There is a lack of studies comparing the predictive values of different IR surrogate indexes for stroke risk among individuals with abnormal glucose metabolism. This study aimed to investigate the relationships between six IR surrogate indexes and stroke risk in individuals with abnormal glucose metabolism, evaluate their predictive abilities for stroke risk.

methodsData from the China Health and Retirement Longitudinal Study (CHARLS) were analysed in this study. Multivariate logistic regression models were applied to analyse the relationships of IR surrogate indexes with stroke risk. The dose-response relationships between IR surrogate indexes and stroke risk were explored using restricted cubic splines. The areas under the curve (AUCs) of IR surrogate indexes were calculated by receiver operating characteristic (ROC) analysis.

resultsAfter adjusting for potential confounders, we observed that each standard deviation (SD) increase in eGDR was associated with a reduced risk of stroke, with an adjusted odds ratio (OR) of 0.746 [95% confidence interval (CI): 0.661-0.842]. In contrast, each SD increase in CVAI, TyG, TyG-BMI, METS-IR, and AIP were associated with an increased risk of stroke, with adjusted ORs (95% CIs) of 1.232 (1.106-1.373), 1.246 (1.050-1.479), 1.186 (1.022-1.376), 1.222 (1.069-1.396), and 1.193 (1.050-1.355), respectively. Dose-response analyses showed that eGDR, CVAI, TyG-BMI and METS-IR were linearly associated with stroke risk (P

conclusionThe six IR surrogate indexes were closely associated with high risk of stroke in individuals with abnormal glucose metabolism. The eGDR showed promising potential in predicting stroke risk in Chinese middle-aged and elderly populations with abnormal glucose metabolism.

Indexed as

Blood GlucoseGlucose Metabolism DisordersInsulin ResistanceStrokeAdiposityAgedAge FactorsBiomarkersChinaEast Asian PeopleFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedBiomarkersBlood GlucoseTriglyceridesAbnormal glucose metabolismCHARLSInsulin resistance surrogate indexStroke

Identifiers

PMID39915878
PMCPMC11804005

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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.