Construction of a clinical predictive model for risk factors after laparoscopic surgery in patients with endometriosis based on pathologic characteristics
Year: 2025
Type: article
Study design: Observational Study
Abstract: OBJECTIVE: To investigate the correlation between preoperative pathologic characteristics and the risk of postoperative recurrence in endometriosis (EMs) patients, and to develop a clinical predictive model. METHODS: A retrospective analysis was conducted on 164 EMs patients who underwent laparoscopic surgery between January 2022 and December 2023 at Peking University First Hospital Ningxia Women and Children's Hospital. Demographic and clinicopathologic data were collected, and patients were stratified by one-year recurrence status. Multivariable logistic regression identified independent recurrence risk factors, and a predictive nomogram was constructed. Model performance was evaluated using ROC curves, the Hosmer-Lemeshow goodness-of-fit test (HLGOF), calibration curves, and decision curve analysis. RESULTS: ) demonstrated an AUC of 0.802, with 71% sensitivity and 76% specificity. The HLGOF and calibration curves indicated that the predicted values were not significantly different from the observed values, showing good model fit (H-L, P>0.05). CONCLUSION: Preoperative pathologic features are significant predictors of recurrence after laparoscopic surgery for EMs. Monitoring these markers can help clinicians identify high-risk patients and provide more targeted treatment.
DOI: 10.62347/pinl7923
Author: Fang Li
Institution: Peking University First Hospital
Language: English
Subfield: Reproductive Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4410903787