Evidence map›Paper›PMID 37020515›Full record

ArticleFrontiers in cardiovascular medicine2023

Twenty-three medication-taking traits and stroke: A comprehensive Mendelian randomization study.

Wenbo Shao, Taozhi Li, Yukun Wang, Shizhe Shan, Haiyu Zhang, Yanxing Xue

Abstract read
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Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Wenbo ShaoDepartment of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Taozhi LiDepartment of Oncology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yukun WangGraduate School of Beijing University of Chinese Medicine, Beijing, China.
Shizhe ShanDepartment of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Haiyu ZhangDepartment of Cardiology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yanxing XueDepartment of Geratology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Certain medication categories may increase the risk of stroke. Nonetheless, the evidence regarding the causal relationship of medication-taking in promoting stroke and subtypes is deficient. Methods: We evaluated the causal effect of a genetic predisposition for certain medication categories on stroke and subtypes (ischemic and hemorrhagic categories) by a two-sample Mendelian randomization (MR) analysis. Data for 23 medication categories were gathered from a genome-wide association study (GWAS) involving 318,177 patients. The Medical Research Council Integrative Epidemiology Unit Open GWAS database and the FinnGen consortium were used to gather GWAS data for stroke and subtypes. Inverse variance weighted, MR-Egger, and weighted median were used for the estimation of causal effects. Cochran's Results: Ten medication categories were linked to a high stroke risk. Nine categories were linked to a high-risk ischemic stroke. Five categories were associated with small vessel ischemic stroke. Nine categories were positively associated with large artery atherosclerotic ischemic stroke. Three categories causally increased the possibility of cardioembolic ischemic stroke. Four categories were associated with intracerebral hemorrhage. Four categories were associated with nontraumatic intracranial hemorrhage. Three categories were causally associated with subarachnoid hemorrhage (SAH). Four categories were associated with the combination of SAH, unruptured cerebral aneurysm, and aneurysm operations SAH. Conclusions: This study confirms that some medication categories lead to a greater risk of strokes. Meanwhile, it has an implication for stroke screening as well as direct clinical significance in the design of conduction of future randomized controlled trials.

Indexed as

causal effecthemorrhagic categoriesischemic categoriesmedication categoriesMendelian randomizationstroke

Identifiers

PMID37020515
PMCPMC10067629

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