ArticleJournal of assisted reproduction and genetics2025
A prognostic nomogram for assessing the risk of recurrence after laparoscopic myomectomy.
Article in Journal of assisted reproduction and genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- A logistic regression model for predicting postoperative recurrence of cellular uterine leiomyoma.European journal of obstetrics & gynecology and reproductive biology: X · 2026Article
- Integrating reproductive and metabolic factors for uterine fibroid risk assessment: a two-center machine learning study with SHAP interpretability.Frontiers in oncology · 2026Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aimed to identify key predictors of uterine fibroid (UF) recurrence following laparoscopic myomectomy (LM) in reproductive-age women and to construct a predictive nomogram to support individualized clinical decision-making.
methodsThis retrospective cohort study included 459 women who underwent LM. Recurrence of UFs and risk of recurrence were analyzed. Time to recurrence, defined as the interval between surgery and imaging-confirmed regrowth, was the primary time-to-event outcome. Multivariate Cox regression and Kaplan-Meier analyses identified significant predictors of recurrence, which were used to develop a predictive nomogram.
resultsOut of 459 patients, 69 experienced recurrence during a median follow-up of 15.8 months. Significant recurrence predictors included age (30-40 years, HR = 1.74, p = 0.041; 18-30 years, HR = 1.88, p = 0.047); fibroid count (≥ 3 fibroids, HR = 2.73, p = 0.001); and fibroid size (≥ 5 cm, HR = 2.84, p < 0.001). The predictive nomogram, integrating age, number, and size of UFs, showed a C-index of 0.752 and area under the curve (AUC) values for 1-, 2-, and 3-year recurrence of 0.710, 0.783, and 0.797, respectively, reflecting robust predictive performance. Calibration curves confirmed the nomogram's accuracy in aligning predicted with observed outcomes.
conclusionThe study developed a validated nomogram for predicting recurrence in UFs patients after LM, incorporating age, number, and size of UFs to enhance clinical decision-making.
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