Association between time to treatment and bladder cancer survival: a population-based analysis.

ABSTRACT:

Background

Cancer treatment delay is a global health system issue. However, data concerning the impact of treatment delays on survival in bladder cancer remain controversial. This study sought to evaluate the impact of time from diagnosis to treatment on survival outcomes of bladder cancer patients in the US Surveillance, Epidemiology, and End Results (SEER) database.

Methods

The SEER was searched from 2000 to 2020 for bladder cancer patients. Logistical regression was used to explore potential factors related to treatment delay. Kaplan-Meier curves were generated to investigate the overall and cancer-specific survival. Multivariate Cox proportional hazards regression models were used to evaluate the effects of covariables on survival outcomes in bladder cancer with treatmen

SUBMITTER: Hou X 

PROVIDER: S-EPMC11491207 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature