Zhao L, et al. - Researchers sought to establish a prognostic nomogram to predict the survival rate of ovarian cancer patients, by integrating multiple independent risk factors. The nomogram was developed using Cox analysis. A total of 3277 patients who belong to different races formed the basis for model derivation. For age, the best threshold was 51, 59, and 67 year old and the older the people, the worse their survival. Meanwhile, they observed a favorable survival in correlation with more lymph node examinations; they split lymph nodes in two groups (negative and positive group) and the positive set had worse survival than of that. Furthermore, the optional threshold for tumor size was 64 mm and a better survival was recorded for the set larger than 64 mm than that less than 64 mm. In univariate Cox proportional hazards regression model, black race, advanced grade, stage T3, stage M1, lymph nodes positive, and CA125 positive linked with similar worse outcomes when compared with the first group. The number of lymph nodes examined and tumor size were noted to have an inverse correlation with its corresponding score of cancer-specific survival in training cases with bulking surgery and chemotherapy. The developed model led to relatively accurate prediction of the prognosis of ovarian cancer by multiple univariate analysis, at the same time, the proposed nomograms showed superior prognostic discrimination and survival prediction.