Evidence map›Paper›PMID 41074193›Full record

ArticleDiabetology & metabolic syndrome2025

The association between insulin resistance assessed by estimated glucose disposal rate and stroke prevalence and mortality in non-diabetic people: evidence from two prospective cohorts.

Dandan Li, Yan Guo, Fanfan Cui, Yajing Cheng, Shufang Yan, Tong Yu, Xuejiao Li, Zhanju Liu, Hongwei Jiang

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2025. 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.

Dandan LiThe First Affiliated Hospital and Clinical Medicine College, Henan University of Science and Technology, 636 Guanlin Road, Luoyang, Henan Province, China.
Yan GuoThe First Affiliated Hospital and Clinical Medicine College, Henan University of Science and Technology, 636 Guanlin Road, Luoyang, Henan Province, China.
Fanfan CuiThe First Affiliated Hospital and Clinical Medicine College, Henan University of Science and Technology, 636 Guanlin Road, Luoyang, Henan Province, China.
Yajing ChengThe First Affiliated Hospital and Clinical Medicine College, Henan University of Science and Technology, 636 Guanlin Road, Luoyang, Henan Province, China.
Shufang YanHuaihe Hospital of Henan University, Kaifeng, Henan Province, China.
Tong YuHuaihe Hospital of Henan University, Kaifeng, Henan Province, China.
Xuejiao LiThe First Affiliated Hospital and Clinical Medicine College, Henan University of Science and Technology, 636 Guanlin Road, Luoyang, Henan Province, China.
Zhanju LiuShanghai Tenth People's Hospital, Tongji University School of Medicine, 301 Yanchang Road, Shanghai, China. zhanjuliu@tongji.edu.cn.
Hongwei JiangThe First Affiliated Hospital and Clinical Medicine College, Henan University of Science and Technology, 636 Guanlin Road, Luoyang, Henan Province, China. jianghw@haust.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe estimated glucose disposal rate (eGDR), serving as a measure of insulin resistance (IR), provides a simpler and more accessible method for assessing insulin sensitivity. However, its association with stroke and mortality in non-diabetic patients remains to be fully clarified.

methodsData from the National Health and Nutrition Examination Survey (NHANES) Study (2003-2014, n = 11,063, age ≥ 45) were examined. Participants with diabetes, coronary heart disease (CHD), or missing key data were excluded. eGDR was calculated based on waist circumference, hypertension status, and glycated hemoglobin (HbA1c). The primary outcomes were stroke prevalence and all-cause, cardiovascular, and cerebrovascular disease mortality. For stroke outcomes, a cross-sectional analysis was conducted and multivariate logistic regression was employed for assessment; whereas for all mortality outcomes, longitudinal analysis was performed using multivariate Cox proportional hazards models. The association between eGDR and these outcomes was investigated using Kaplan-Meier survival analysis, Cox proportional hazards regression models, restricted cubic splines (RCS), and mediation analysis, adjusted for demographic and clinical variables. An additional cohort of 6,873 participants from the China Longitudinal Health and Aging Study (CHARLS) was applied to evaluate the association further.

resultsBetween 2003 and 2014, the NHANES study documented 380 stroke cases. A higher eGDR showed a significant linked to lower stroke prevalence (OR 0.44, 95% CI: 0.31-0.62, P < 0.001), as well as reduced all-cause mortality (HR 0.78, 95% CI: 0.68-0.89), CVD mortality (HR 0.70, 95% CI: 0.53-0.94) and cerebrovascular diseases mortality (HR 0.54, 95% CI: 0.31-0.94) over a median 117.6 months. Each one-unit increase in eGDR was associated with a 15% decrease in stroke prevalence (OR 0.85, 95% CI 0.79-0.9). The protective impact of a higher eGDR against stroke was consistently observed across most subgroups, but significantly stronger in individuals < 60 years. CHARLS demonstrated the research findings.

conclusionsElevated eGDR levels showed an independent correlation with a significantly reduced prevalence of stroke and decreased risks of mortality in non-diabetic adults.

Indexed as

CHARLSEstimated glucose disposal rateInsulin resistanceMortalityNHANESNon-Diabetic peopleStroke

Identifiers

PMID41074193
PMCPMC12512985

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.