Endometriosis and cardiovascular disease risk: a meta-analysis of cohort studies
meta-analysis
OA: gold
CC0
Abstract
OBJECTIVES: This meta-analysis aimed to evaluate the association between endometriosis (EM) and cardiovascular disease (CVD) risk by synthesizing evidence from large-scale cohort studies, with emphasis on subtype-specific risks and geographic disparities.
METHODS: We systematically searched PubMed, Embase, and Cochrane Library for cohort studies published until December 2024. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using random-effects models. Subgroup analyses stratified CVD subtypes (e.g. ischemic heart disease, atrial fibrillation), continents, and country development levels. Heterogeneity and publication bias were assessed via I2 statistics, sensitivity analyses, and Egger's test.
RESULTS: Eleven cohort studies (n = 3,100,610 participants) were included. EM was associated with a 22% increased risk of all-cause CVD (HR = 1.22; 95% CI: 1.08-1.38; I2 = 94.6%). Subgroup analyses revealed elevated risks for myocardial infarction (HR = 1.29; 95% CI: 1.10-1.50), coronary artery disease (HR = 1.47; 95% CI: 1.29-1.67), and cerebrovascular events (HR = 1.18; 95% CI: 1.12-1.25), but not heart failure. Geographic disparities were significant, with higher CVD risks in Asian (HR = 1.36; 95% CI: 1.25-1.48) and North American cohorts (HR = 1.37; 95% CI: 1.16-1.61) compared to European populations (HR = 0.93; 95% CI: 0.64-1.34).
CONCLUSIONS: EM is independently associated with an elevated risk of CVD, particularly for coronary artery disease and myocardial infarction. These findings underscore the need for targeted cardiovascular monitoring in EM patients, particularly in high-risk populations.
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SciLite annotations
organisms 9
men 2004071
noordeloos 2009062
noordeloos 2009062
noordeloos 2009062
noordeloos 2009062
rodents
transgenic mice
mus sp.
noordeloos 2009062
chemicals 7
oxygen
estrogen
progestin
estrogen
progestin
estrogen
acetylcholine
Source provenance
- europepmc
- last seen: 2026-07-12T06:14:43.533933+00:00
- openalex
- last seen: 2026-07-12T06:07:59.157904+00:00
- pubmed
- last seen: 2026-07-12T06:09:42.940347+00:00
- scilite
- last seen: 2026-06-28T09:31:30.222730+00:00
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