Evidence map›Paper›PMID 34524719›Full record

ArticleClinical endocrinology2022

Causal relationship between polycystic ovary syndrome and coronary artery disease: A Mendelian randomisation study.

Pomme I H G Simons, Merel E B Cornelissen, Olivier Valkenburg, N Charlotte Onland-Moret, Yvonne T van der Schouw, Coen D A Stehouwer, Stephen Burgess, Martijn C G J Brouwers

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Determinants and Assessment of Menstrual Blood Flow.Current epidemiology reports · 2023
    Article
  7. Article
  8. 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

8 authors at 3 institutions in 2 countries.

Pomme I H G SimonsDepartment of Internal Medicine, Division of Endocrinology and Metabolic Diseases, Maastricht University Medical Center, Maastricht, The Netherlands.ORCID 0000-0003-4929-8330
Merel E B CornelissenJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Olivier ValkenburgDepartment of Reproductive Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
N Charlotte Onland-MoretJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Yvonne T van der SchouwJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Coen D A StehouwerLaboratory for Metabolism and Vascular Medicine, Maastricht University, Maastricht, The Netherlands.
Stephen BurgessDepartment of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Martijn C G J BrouwersDepartment of Internal Medicine, Division of Endocrinology and Metabolic Diseases, Maastricht University Medical Center, Maastricht, The Netherlands.
Maastricht University Medical Centre · NLUtrecht University · NLUniversity of Cambridge · GB

Funding

British Heart Foundation CH/12/2/29428British Heart Foundation RG/13/13/30194British Heart Foundation RG/18/13/33946Medical Research Council MC_UU_00002/7Wellcome Trust 204623Wellcome Trust 204623/Z/16/Z
6 · The paper itself

Abstract

objectivePolycystic ovary syndrome (PCOS) has been associated with an increased risk of coronary artery disease (CAD). However, it remains uncertain whether this increased risk is the result of PCOS per se or, alternatively, is explained by obesity, a common feature of PCOS. The aim of this study was to assess the causal association between PCOS and CAD and the role of obesity herein. DESIGN AND

methodsWe conducted two-sample Mendelian randomisation analyses in large-scale, female-specific datasets to study the association between genetically predicted (1) risk of PCOS and risk of CAD, (2) body mass index (BMI) and risk of PCOS and (3) BMI and risk of CAD. Primary analyses were conducted with the inverse-variance weighted (IVW) method. Simple median, penalized weighted median and contamination mixture analyses were performed to assess the robustness of the outcomes.

resultsIVW analyses did not show a statistically significant association between PCOS and CAD (odds ratio [OR]: 0.99, 95% confidence interval [CI]: 0.89, 1.11). In contrast, genetically predicted BMI was statistically significantly associated with an increased odds of PCOS (OR: 3.21, 95% CI: 2.26, 4.56) and CAD (OR: 1.38, 95% CI: 1.14, 1.67). Similar results were obtained when secondary analyses were performed.

conclusionThese sex-specific analyses show that the genetically predicted risk of PCOS is not associated with the risk of CAD. Instead, the genetically predicted risk of obesity (and its downstream metabolic effects) is the common denominator of both PCOS and CAD risk.

Indexed as

Coronary Artery DiseasePolycystic Ovary SyndromeFemaleGenome-Wide Association StudyHumansMendelian Randomization AnalysisObesitycoronary artery diseaseMendelian randomisationobesitypolycystic ovary syndrome

Identifiers

PMID34524719
PMCPMC7612926
OpenAlexW3200572507

What OpenQuestion 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 OpenQuestion graph.