Nomogram for predicting 5-year disease-specific mortality after primary surgery for epithelial ovarian cancer☆

摘要: Abstract Objective To develop a nomogram based on established prognostic factors to predict the probability of 5-year disease-specific mortality after primary surgery for patients with all stages epithelial ovarian cancer (EOC) and compare predictive accuracy currently used International Federation Gynecology Obstetrics (FIGO) staging system. Methods Using prospectively kept database, we identified EOC who had their at our institution between January 1996 December 2004. Disease-specific was estimated using Kaplan–Meier method. Twenty-eight clinical pathologic were analyzed. Significant univariate analysis included in Cox proportional hazards regression model, which utilized nomogram. The concordance index (CI) as an measure, bootstrapping correct optimistic bias. Calibration plots constructed. Results A total 478 included. most constructed seven variables: age, FIGO stage, residual disease status, preoperative albumin level, histology, family history suggestive hereditary breast/ovarian (HBOC) syndrome, American Society Anesthesiologists (ASA) status. This internally validated shown have excellent calibration bootstrap-corrected CI 0.714. alone significantly less 0.62 ( P =0.002). Conclusion We developed all-stage cancer. tool is more accurate than should be useful patient counseling, trial eligibility, postoperative management, follow-up.