Clinical characterization and prognostic modeling of bladder cancer patients with a history of prior tumors: a SEER database analysis.

ABSTRACT:

Background

Bladder cancer is one of the most prevalent malignancies within the urinary system, with incidence and mortality rates showing a global upward trend. This study aims to examine the clinical characteristics of bladder cancer patients with a history of prior malignancies and to develop a prognostic model using extensive data from the Surveillance, Epidemiology, and End Results (SEER) database to inform clinical treatment strategies.

Methods

Data from bladder cancer patients diagnosed between 2011 and 2015 were extracted using SEER*Stat software. Statistical analyses, including Kaplan-Meier survival curves, and Cox regression, were conducted using R software version 3.6.1 to develop a nomogram model. The predictive performance of the nomogram was evaluated using the

SUBMITTER: Liu Z 

PROVIDER: S-EPMC11912062 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature