Prediction for 2-year mortality of metastatic ovarian cancer patients based on surveillance, epidemiology, and end results database.

ABSTRACT:

Aim

To establish prediction models for 2-year overall survival of ovarian cancer patients with metastasis.

Methods

In total, 4,929 participants from Surveillance, Epidemiology, and End Results (SEER) database were randomly divided into the training set (n = 3,451) and the testing set (n = 1,478). Univariate and multivariable regression were conducted in the training set to identify predictors for 2-year overall survival of metastatic ovarian cancer patients. The C-index was calculated for assessing the performance of the models. The nomogram for the model was plotted. The prediction value of the model was validated in the testing set. Subgroup analysis were performed concerning surgery and chemotherapy status of patients and the metastatic site of ovarian cance

SUBMITTER: Wang Y 

PROVIDER: S-EPMC9632980 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature