Evidence map›Paper›PMID 42700051›Full record

ArticleMedicine2026

Causal relationship between sex hormones and ischemic stroke risk: A Mendelian randomization study.

Qiang Huang, Qiong Li, Jun-Hong Guo

Abstract read
In one paragraph

Article in Medicine, 2026. 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

3 authors.

Qiang HuangDepartment of Neurology, The First People's Hospital of Jinzhong, Jinzhong, Shanxi, China.
Qiong LiDepartment of Endocrinology, The First People's Hospital of Jinzhong, Jinzhong, Shanxi, China.
Jun-Hong GuoDepartment of Neurology, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China.

Funding

2024 Shanxi Province Health and Wellness Research Project 2024218Science and Technology Innovation 2030â€"Major program of “Brain Science and Brain-like Research†2021ZD0201801
6 · The paper itself

Abstract

Ischemic stroke (IS) exhibits notable sex-related differences, indicating a potentially important role for sex hormones such as sex hormone-binding globulin (SHBG), estradiol, and testosterone. This study employed 2-sample Mendelian randomization (MR) to investigate the causal relationships between these sex hormones and the risk of IS and its subtypes. Genetic instrumental variables for SHBG, estradiol, and testosterone were obtained from the IEU OpenGWAS database. These instruments were analyzed to assess their causal effects on IS and its subtypes using MR methods. Sensitivity analyses were performed using several complementary MR approaches. SHBG was inversely associated with the risk of IS (OR = 0.92; 95% CI = 0.87-0.97; P = .007) and with the small-artery occlusion subtype (OR = 0.84; 95% CI = 0.75-0.94; P = .002), whereas no associations were observed for the large-artery atherosclerosis or cardioembolism subtypes. No causal effects of estradiol or testosterone on IS were identified. Our findings suggest that higher SHBG levels may reduce the risk of IS and could represent a potential therapeutic target. Further studies are needed to elucidate the mechanisms by which SHBG may confer protection against IS.

Indexed as

EstradiolGonadal Steroid HormonesIschemic StrokeMendelian Randomization AnalysisSex Hormone-Binding GlobulinTestosteroneFemaleHumansMaleRisk FactorsEstradiolGonadal Steroid HormonesSex Hormone-Binding GlobulinSHBG protein, humanTestosteronecausal inferenceischemic strokeMendelian randomizationsex hormonesSHBG

Identifiers

PMID42700051
PMCPMC13549640

What OpenQuestion holds

Textmetadata
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.