Development of a clinical prediction model for diagnosing adenomyosis

article OA: bronze CC0 ⤵ 35 in-corpus citations
AI-generated summary by claude@2026-06, 2026-06-09

This study aimed to develop a clinical prediction model to diagnose adenomyosis, and it identified key factors contributing to the diagnosis.

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Condition tags

adenomyosis

MeSH descriptors

Adenomyosis Adenomyosis Models, Theoretical Uterus Adenomyosis Adenomyosis Adult Female Humans Middle Aged Norway Norway Predictive Value of Tests Prospective Studies Uterus Uterus

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 (41)

Cited by (35)

Source provenance

europepmc
last seen: 2026-06-04T01:30:01.192114+00:00
openalex
last seen: 2026-06-10T17:14:06.276822+00:00
pubmed
last seen: 2026-05-13T22:19:31.300640+00:00
License: CC0 · commercial use OK