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 treatment delay. RESULTS: There were 12,686 eligible patients included in this study. A total of 2,379 patients experienced an initial treatment delay. Initial treatment delay was related to worse survival. Sex, age, pathological grade, clinical stage, and surgery were associated with increased odds of initial treatment delay. In the patients with initial treatment delay, age, advanced stage, lymph node involvement, high pathological grades and metastasis were independent predictors of poor overall survival and cancer-specific survival, while marital status at diagnosis, surgery, chemotherapy, and radiotherapy were found to improve both overall survival and cancer-specific survival. CONCLUSIONS: Significant disparities in pathological/clinical variables could contribute to treatment delay. Surgery, chemotherapy, and radiotherapy benefited the survival of patients with treatment delays.