A nomogram of predicting of recurrence of ovarian endometrioma after surgery for a 5-year follow-up

Yayun Zhang, Yan Zhang, Zhang Y, Liu M, Meng Liu, Zhao Z, Zihan Zhao, Tianyue Cao, Cao T, Shunyu Hou, Hou S, Aifen Wang
European journal of obstetrics, gynecology, and reproductive biology · 2026 · vol. 321 , pp. 115073 · doi:10.1016/j.ejogrb.2026.115073 · PMID:41855692
Observational OA: closed public-domain-us
View on PubMed View at publisher
⚙ AI-generated summary by gemini-2.5-flash-lite, 2026-06-08 ⓘ

This study identified younger age, menstruation duration, dysmenorrhea severity, endometrioma diameter, and fewer postoperative deliveries as independent risk factors for ovarian endometrioma recurrence and developed a nomogram for predicting it.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

Abstract

OBJECTIVE: There is currently no consensus on the risk factors for recurrent ovarian endometrioma after surgery. This study aimed to identify independent risk factors and develop a clinical nomogram to predict postoperative recurrence. METHODS: A retrospective study was conducted on 589 patients who underwent ovarian endometrioma excision at a tertiary institute between March 2013 and December 2018. Clinical variables were compared between patients with and without recurrence using logistic multiple regression analysis to identify independent predictors. A nomogram was subsequently constructed and validated. RESULTS: Of the 589 patients, 82 (13.92%) experienced recurrence. Multivariate analysis identified five independent risk factors: younger age at surgery, longer duration of menstruation, higher dysmenorrhea severity (VRS-5 scores), larger endometrioma diameter, and fewer postoperative deliveries (p < 0.05). Based on these factors, a nomogram was developed, yielding an area under the curve (AUC) of 0.703 in the development cohort and 0.719 in the validation cohort. Calibration curves and decision curve analysis (DCA) demonstrated the model's good fit and clinical net benefit. CONCLUSION: Younger age, menstruation duration, dysmenorrhea severity, cyst diameter, and postoperative deliveries are key determinants of recurrence. The novel nomogram serves as a practical tool for clinicians to estimate risk and personalize postoperative management.

My notes (saved in your browser only)

Condition tags

dysmenorrheaendometriosisendometrioma

MeSH descriptors

Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis Endometriosis

Citation neighborhood (2-hop)

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. Outer rings show 2-hop neighbours — papers reached through the immediate citers/citees. [ collapse to 1-hop ]

References (31)

Source provenance

crossref
last seen: 2026-05-18T01:00:08.646173+00:00
europepmc
last seen: 2026-10-18T09:30:06.152893+00:00
pubmed
last seen: 2026-10-22T06:03:18.627767+00:00
unpaywall
last seen: 2026-05-11T08:34:28.763810+00:00
License: public-domain-us · commercial use OK · attribution required
Courtesy of the U.S. National Library of Medicine