Evidence map›Paper›PMID 39552109›Full record

ArticleBrain and behavior2024

Diabetes Mellitus and Risk of Future Stroke: Evidence From CHARLS and Mendelian Randomization Analyses.

Zetai Bai, Zheyi Wang, Mei Li, Deyuan Kong, Guanzhao Wu

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Article in Brain and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zetai BaiDepartment of Central Laboratory and Mitochondrial Medicine Laboratory, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China.
Zheyi WangDepartment of Central Laboratory and Mitochondrial Medicine Laboratory, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China.
Mei LiDepartment of Central Laboratory and Mitochondrial Medicine Laboratory, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China.
Deyuan KongDepartment of Central Laboratory and Mitochondrial Medicine Laboratory, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China.
Guanzhao WuDepartment of Central Laboratory and Mitochondrial Medicine Laboratory, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China.ORCID 0000-0002-8170-7993

Funding

the Qilu Young Scholars Program of Shandong University SDQLQN2021-01the Young Taishan Scholars tsqn 202306352
6 · The paper itself

Abstract

objectivesThis study leveraged the China Health and Retirement Longitudinal Study (CHARLS) to explore the association between diabetes and stroke in middle-aged and older adults in East Asia and assess the causality of this relationship using Mendelian randomization.

methodsData from the 2011-2020 CHARLS cohort identified individuals with diabetes at baseline. Stroke incidence was self-reported through standardized questionnaires. Logistic regression and restricted cubic spline analysis examined the relationship between diabetes and stroke risk alongside nonlinear correlations between glucose levels and stroke. Mendelian randomization clarified the causal link and analyzed the mediating effect between diabetes and stroke using genetic methods.

resultsIn the study population aged 45 and above, stroke incidence was 5.99% in normoglycemic, 6.82% in prediabetic, and 9.93% in diabetic individuals. Over 7 years, 473 strokes occurred. Diabetes was associated with a 1.35-fold increased stroke risk compared to normoglycemia (OR = 1.35; 95% CI: 1.03-1.79). Subgroup analyses highlighted higher stroke risks in middle-aged women, nonsmokers, and nondrinkers. Mendelian randomization supports a genetic causal relationship between diabetes and stroke. Diabetes may indirectly lead to stroke through the mediating effects of hypertension and high cholesterol.

conclusionThe findings confirm a significant association and causal link between diabetes and stroke risk in an East Asian population. In addition, the results indicate that controlling blood glucose in prediabetic individuals reduces stroke risk, with no similar benefits in diabetes.

Indexed as

Mendelian Randomization AnalysisStrokeAgedChinaDiabetes MellitusFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedPrediabetic StateRisk Factorsdiabetes mellitushemoglobin A1cMendelian randomization analysisstrokevascular diseases

Identifiers

PMID39552109
PMCPMC11570678

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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.