Bias versus causality: interpreting recent evidence of association between endometriosis and ovarian cancer

article OA: closed CC0 ⤵ 45 in-corpus citations
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AI-generated summary by claude@2026-06, 2026-06-07

This paper discusses the challenges of distinguishing bias from causality when interpreting associations between endometriosis and ovarian cancer, highlighting the need for careful analysis of recent evidence.

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Condition tags

mesh:D004715endometriosis

MeSH descriptors

Endometriosis Ovarian Neoplasms Case-Control Studies Cohort Studies Endometriosis Female Humans Observer Variation Ovarian Neoplasms Patient Selection Probability Reproducibility of Results Risk Factors

Citation neighborhood

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (53)

Cited by (45)

Source provenance

europepmc
last seen: 2026-06-04T01:30:01.192114+00:00
openalex
last seen: 2026-06-04T00:00:01.174412+00:00
pubmed
last seen: 2026-05-13T22:15:00.519696+00:00
License: CC0 · commercial use OK