Evidence map›Paper›PMID 40474525›Full record

ArticleCNS neuroscience & therapeutics2025

Associations of Estimated Glucose Disposal Rate With Stroke Risk and Poststroke Adverse Outcomes: A Prospective Cohort Study.

Xiaxuan Huang, Peina Dong, Yixian Xu, Yitong Ling, Shanyuan Tan, Zihong Bai, Si Shen, Jun Lyu, Hao Wang

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Observational
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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

9 authors.

Xiaxuan HuangDepartment of Anesthesiology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Peina DongDepartment of Anesthesiology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Yixian XuDepartment of Anesthesiology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Yitong LingDepartment of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Shanyuan TanDepartment of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Zihong BaiDepartment of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Si ShenMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong Province, China.
Jun LyuDepartment of Clinical Research, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID 0000-0002-2237-8771
Hao WangDepartment of Anesthesiology, The First Affiliated Hospital of Jinan University, Guangzhou, China.ORCID 0000-0003-2169-1712

Funding

Guangdong Basic and Applied Basic Research Foundation, China 2025A1515011285"Guangdong Special Support Plan" Provincial Health Commission (Health Talent) Project, China 0720240108Guangzhou Key Research and Development Program (Agricultural and Social Development Science and Technology Project), China 2023B03J1353Guangzhou Regional Clinical High-tech, Major and Characteristic Technology Project, China 2023P-TS28
6 · The paper itself

Abstract

aimsThis study investigated the relationship between estimated glucose disposal rate (eGDR), a validated marker of insulin resistance, and stroke subtypes and poststroke outcomes. Despite eGDR's established role in predicting cardiovascular outcomes, its impact on stroke risk and prognosis has not been fully explored.

methodsThis study included 462,550 participants from the UK Biobank with eGDR assessments, and participants were stratified into three categories based on tertiles of eGDR. The primary outcomes were stroke and its subtypes (ischemic and hemorrhagic stroke). Cox proportional hazard models and restricted cubic spline regression were used to analyze associations between eGDR and outcomes. Secondary analyses investigated poststroke adverse events (depression, disability, epilepsy, and delirium). Mediation analyses were conducted to explore the underlying mechanisms driven by inflammatory markers, eGDR, and stroke.

resultsDuring a median follow-up of 13.9 years, 12,325 stroke cases were recorded. Compared to the lowest eGDR tertile (< 6.525 mg/kg/min), individuals in the highest tertile (> 8.494 mg/kg/min) demonstrated a significantly reduced risk of stroke (HR = 0.53, 95% CI: 0.50-0.56), particularly ischemic stroke (HR = 0.53, 95% CI: 0.50-0.57). Higher eGDR levels were also associated with a decreased risk of poststroke adverse outcomes (HR = 0.83, 95% CI: 0.73-0.94), with similar risk estimates observed for depression, disability, epilepsy, and delirium. Furthermore, inflammatory markers partially mediated the relationship between eGDR and stroke risk.

conclusionsElevated eGDR levels were associated with decreased risks of stroke and poststroke adverse outcomes. These findings suggest improving insulin sensitivity, as reflected by higher eGDR, maybe a potential therapeutic target for stroke prevention or stroke rehabilitation.

Indexed as

Blood GlucoseGlucoseInsulin ResistanceStrokeAgedCohort StudiesFemaleFollow-Up StudiesHumansIschemic StrokeMaleMiddle AgedProspective StudiesRisk FactorsUnited KingdomBlood GlucoseGlucosedeliriumdepressiondisabilityepilepsyestimated glucose disposal ratestroke

Identifiers

PMID40474525
PMCPMC12141760

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Registered trials

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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.