Evidence mapPaperPMID 40646267Full record

ArticleNature cardiovascular research2025

Premenstrual disorders and risk of cardiovascular diseases.

Yihui Yang, Emma Bränn, Jing Zhou, Dang Wei, Jacob Bergstedt, Fang Fang, Unnur A Valdimarsdóttir, Elizabeth Bertone-Johnson, Donghao Lu

Abstract read
In one paragraph

Article in Nature cardiovascular research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  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

9 authors.

Yihui YangUnit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. yihui.yang.2@ki.se.ORCID http://orcid.org/0009-0002-0657-485X
Emma BrännUnit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-9664-7973
Jing ZhouUnit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-6663-2674
Dang WeiUnit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Jacob BergstedtUnit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-9279-6936
Fang FangUnit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3310-6456
Unnur A ValdimarsdóttirUnit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-5382-946X
Elizabeth Bertone-JohnsonDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA.
Donghao LuUnit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. donghao.lu@ki.se.ORCID http://orcid.org/0000-0002-4186-8661

Funding

China Scholarship Council (CSC) 202106100010Vetenskapsrådet (Swedish Research Council) 2020-01003
6 · The paper itself

Abstract

Several lines of evidence indicate a potential link between premenstrual disorders (PMDs) and cardiovascular diseases (CVDs). However, it remains unclear whether women with PMDs have a higher risk of CVDs. Here we present a Swedish nationwide population-based matched cohort study from 2001 to 2022 and a sibling matched cohort to address familial confounding. A total of 99,411 women with PMDs were included in the population analysis and 36,061 women with PMDs in the sibling analysis. Compared with individuals without PMDs, women with PMDs had a higher risk of any CVD (adjusted hazard ratio = 1.11 (95% confidence interval: 1.08-1.13) in the population analysis and 1.10 (95% confidence interval: 1.06-1.15) in the sibling analysis). The risk was particularly pronounced for PMDs diagnosed before 25 years of age and PMDs with comorbid perinatal depression. Our study shows that women who received a PMD diagnosis in specialist or primary care are at a higher risk of CVDs.

Indexed as

Cardiovascular DiseasesPremenstrual SyndromeAdultAge FactorsComorbidityFemaleHeart Disease Risk FactorsHumansMiddle AgedRegistriesRisk AssessmentRisk FactorsSiblingsSwedenTime FactorsYoung Adult

Identifiers

PMID40646267
PMCPMC12343293

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.