Development and validation of a nomogram for predicting the overall survival of prostate cancer patients: a large population-based cohort study.

ABSTRACT:

Background

Prostate cancer (PC) is the second most common malignant tumor, and its survival is of great concern. However, the assessment of survival risk in current studies is limited. This study is to develop and validate a nomogram for the prediction of survival in PC patients using data from the Surveillance, Epidemiology, and End Results (SEER) database.

Methods

A total of 153,796 PC patients were included in this cohort study. Patients were divided into a training set (n=107,657) and a testing set (n=46,139). The 3-, 5- and 10-year survival of the PC patients were regarded as the outcomes. Predictors based on the demographic and pathological data for survival were identified by multivariate Cox regression analysis to develop the predictive nomogram. Internal and subgrou

SUBMITTER: Zhou Z 

PROVIDER: S-EPMC9547153 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature