The Nomograms for Predicting Cancer-specific Survival in Patients With Ovarian Cancer After Surgery

Abstract Objectives: Clear cell adenocarcinoma of the ovary (CCAO) and mixed cell adenocarcinoma of the ovary (MACO) were one of the gynecological malignancies.Methods: Univariate and multivariate cox regression analysis were used to determine prognostic factors. Drawing nomograms, the receiver operating characteristic (ROC) curve and the calibration curve was applied to evaluate the agreement of the nomogram. The survival analysis was constructed to the high-risk factors.Results: The nomogram was constructed and had a better discrimination. The calibration curves indicated that the nomograms had good calibration capabilities.4 or more regional lymph nodes removed by surgery was beneficial to the patient's prognosis. Conclusions: Our study analyzed the prognosis of CCAO or MACO patients, and constructed a predictive nomogram with good accuracy.