Evidence map›Paper›PMID 41761858›Full record

ArticleInternational journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics2026

Causal effects of gestational hypertension on women's health: A Mendelian randomization analysis.

Haizhao Luo, Wen Mei, Jingwen Ye, Lei Liu, Weiqiang Liang, Yi Shu

Abstract read
In one paragraph

Article in International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics, 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
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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

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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

6 authors.

Haizhao LuoDepartment of Endocrinology, The Sixth Affiliated Hospital, South China University of Technology, Foshan, Guangdong, China.
Wen MeiDepartment of Endocrinology, The Sixth Affiliated Hospital, South China University of Technology, Foshan, Guangdong, China.
Jingwen YeDepartment of Endocrinology, The Sixth Affiliated Hospital, South China University of Technology, Foshan, Guangdong, China.
Lei LiuDepartment of Endocrinology, The Sixth Affiliated Hospital, South China University of Technology, Foshan, Guangdong, China.
Weiqiang LiangDepartment of Endocrinology, The Sixth Affiliated Hospital, South China University of Technology, Foshan, Guangdong, China.
Yi ShuDepartment of Endocrinology, The Sixth Affiliated Hospital, South China University of Technology, Foshan, Guangdong, China.ORCID https://orcid.org/0009-0002-8879-9250

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGestational hypertension (GH) is linked to complications impacting women's health, with confounded causal links in observational studies. This study used Mendelian randomization (MR) to investigate GH's effects on women's diseases.

methodsTo reduce confounding and identify robust GH associations, we selected 149 single-nucleotide polymorphisms (SNPs) as instrumental variables (IVs). The data were extracted from publicly accessible genome-wide association studies (GWAS). The inverse-variance weighted (IVW) method served as the primary MR analysis, with sensitivity verification conducted through MR-Egger, weighted median, weighted mode, and simple mode analyses.

resultsMR analysis found no significant causal links between GH and postpartum conditions, such as mental and behavioral disorders, postpartum hemorrhage, puerperal sepsis, or depression. However, GH significantly increased stroke risk in women (P

conclusionGH is causatively linked to higher stroke risk in women, underscoring the need for focused monitoring and interventions to mitigate long-term health risks in this group.

Indexed as

Hypertension, Pregnancy-InducedWomen's HealthFemaleGenome-Wide Association StudyHumansMendelian Randomization AnalysisPolymorphism, Single NucleotidePregnancyRisk FactorsStrokegestational hypertensionMendelian randomizationwomen's health

Identifiers

PMID41761858
PMCPMC13377379

What Socratic holds

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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 Socratic graph.