Nomograms predicting survival for all four subtypes of breast cancer: a SEER-based population study.

ABSTRACT:

Background

The prognosis of female breast cancer (BC) patients is determined by many clinicopathological factors. In this study, we aimed to identify prognostic factors for BC and develop reliable nomograms to predict the 1-, 3-, and 5-year overall survival (OS) and breast cancer-specific survival (BCSS).

Methods

The Surveillance, Epidemiology, and End Results (SEER) database was used to screen 227,989 eligible patients as the study cohort. The whole cohort was randomly divided into a training cohort (n=113,996) and a testing cohort (n=113,993). The log-rank test and Cox proportional hazards analysis were applied to select variables and build nomogram models based on the training cohort. Internal and external validation were performed to evaluate the performance of the model

SUBMITTER: Chu J 

PROVIDER: S-EPMC7214914 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature