Nomograms and scoring system for forecasting overall and cancer-specific survival of patients with prostate cancer.

ABSTRACT:

Background

Estimated life expectancy is one of the most important factors in determining treatment options for prostate cancer (PCa) patients. However, clinicians have few effective prognostic tools to individually assess survival in patients with PCa.

Methods

We screened 283,252 patients diagnosed with PCa from the Surveillance, Epidemiology, and End Results (SEER) database between 2004 and 2015, and randomly divided them into the training and validation groups. We used univariate and multivariate Cox analyses to identify independent prognostic factors and further established nomograms to predict 1-, 3-, 5-, and 10-year overall survival (OS) and cancer-specific survival (CSS) for PCa patients. The prediction performance of nomograms was tested and externally validated by Co

SUBMITTER: Zhou Y 

PROVIDER: S-EPMC9939188 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature