Evidence map›Paper›PMID 39497808›Full record

ArticleFrontiers in endocrinology2024

Hypertensive disorders of pregnancy and stroke: a univariate and multivariate Mendelian randomization study.

Kang Qu, Mingxi Li, Peng Yu, Wei Jiang, Ming Dong

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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

5 authors.

Kang QuDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, China.
Mingxi LiDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, China.
Peng YuDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, China.
Wei JiangDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, China.
Ming DongDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertensive disorders of pregnancy (HDP) are associated with an increased risk of stroke later in life in multiparous women. However, causality of these associations remains unclear. This study employed 2-sample univariate and multivariate Mendelian randomization (MR) to assess the causal connection between HDP and stroke. Methods: Genetic variants for HDP and two subtypes were identified from recent large-scale genome-wide association studies and the FinnGen consortium. Stroke summary data were obtained from the MEGASTROKE consortium. The primary analytical approach for univariate MR was the inverse variance weighting method. Sensitivity analyses incorporated methods such as MR-Egger regression, weighted median, and maximum likelihood to ascertain the robustness of the results. Additionally, multivariable MR analyses were conducted to account for potential associative effects of hypertension and type 2 diabetes. Results: Genetically predicted HDP was associated with a high risk of large artery atherosclerosis (odds ratio [OR]=1.50, 95% confidence interval [CI]: 1.17-1.91, Conclusions: This study provides genetic evidence supporting an association between HDP and increased stroke risk bolstering HDP as a cerebrovascular risk factor.

Indexed as

Genome-Wide Association StudyHypertension, Pregnancy-InducedMendelian Randomization AnalysisStrokeFemaleGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotidePregnancyRisk Factorsgestational hypertensionhypertensive disorders of pregnancyMendelian randomizationpreeclampsiastroke

Identifiers

PMID39497808
PMCPMC11532165

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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.