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Time Interval to Diagnosis of Bladder Cancer and Its Associated Outcomes

by Suh, Lara K.

Abstract (Summary)
The purpose of this study is to investigate whether a prolonged delay in diagnosis of bladder cancer will result in worse outcomes for those patients, compared to those patients with a shorter diagnostic time interval. Data was collected on 247 patients newly diagnosed with transitional cell carcinoma of the bladder from January 1996 to December 2006 (10 years). The medical records of these patients were reviewed for demographics, pathological stage, date of consultation to the genitourinary (GU) service, and date of diagnosis by transurethral resection of bladder tumor (TURBT). The specialty delay was calculated as the time between the date of consultation to the GU service to the establishment of a diagnosis by TURBT. Univariate analyses were performed to test the association of specialty delay with clinical features and all-cause mortality. The median specialty delay in this study was 100 days. There was a trend towards a longer specialty delay for muscle-invasive disease (T2-T4) in comparison to superficial disease (Ta and T1). There was a significant correlation between all-cause mortality and increasing clinical stage (p=0.01). There was a paradoxical finding that patients with a specialty delay greater than 100 days had a significant reduction in all-cause death in comparison to patients with a specialty delay of 100 days or less (relative risk=0.59; 95% CI 0.36-0.90; p=0.01). In conclusion, this study did not confirm the hypothesis that a prolonged specialty delay in patients diagnosed with bladder cancer would result in a worse prognosis. In fact, there was a paradoxical finding that patients with a specialty delay greater than the median delay of 100 days had a better prognosis.
Bibliographical Information:

Advisor:Edward Uchio, M.D.

School:Yale University

School Location:USA - Connecticut

Source Type:Master's Thesis

Keywords:urinary bladder neoplasms carcinoma transitional cell time factors diagnosis therapy prognosis cancer

ISBN:

Date of Publication:09/08/2008

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