Prognostic analysis of breast cancer in Xinjiang based on Cox proportional hazards model and two-step cluster method.

ABSTRACT:

Objective

To examine the factors that affect the prognosis and survival of breast cancer patients who were diagnosed at the Affiliated Cancer Hospital of Xinjiang Medical University between 2015 and 2021, forecast the overall survival (OS), and assess the clinicopathological traits and risk level of prognosis of patients in various subgroups.

Method

First, nomogram model was constructed using the Cox proportional hazards models to identify the independent prognostic factors of breast cancer patients. In order to assess the discrimination, calibration, and clinical utility of the model, additional tools such as the receiver operating characteristic (ROC) curve, calibration curve, and clinical decision curve analysis (DCA) were used. Finally, using two-step cluster analysis (T

SUBMITTER: Wu M 

PROVIDER: S-EPMC9887128 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature