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Second-look resection for primary stage T1 bladder cancer: a population-based study
Oliver Patschan1, Sten Holmäng2, Abolfazl Hosseini3
1a Department of Translational Medicine , Lund University and Department of Urology, Skåne University Hospital , Malmö , Sweden.
Scandinavian Journal of Urology
|April 12, 2017
Summary
Second-look resection (SLR) for stage T1 bladder cancer (BC) shows varied use across Sweden. SLR is associated with improved cancer-specific survival (CSS), despite residual tumors, suggesting potential selection bias.
Area of Science:
- Urology
- Oncology
- Cancer Research
Background:
- Stage T1 bladder cancer (BC) requires careful management to optimize outcomes.
- Second-look resection (SLR) is a surgical approach that may improve staging and treatment efficacy.
- Understanding the utilization and impact of SLR in a real-world setting is crucial for clinical practice.
Purpose of the Study:
- To evaluate the utilization patterns of second-look resection (SLR) in stage T1 bladder cancer (BC).
- To assess the association between SLR and cancer-specific survival (CSS) in a population-based cohort.
- To identify factors influencing the use of SLR and its impact on patient outcomes.
Main Methods:
- A population-based cohort of 903 patients diagnosed with stage T1 BC between 2008-2009 in Sweden was identified.
- Data on TNM stage, grade, primary treatment, and SLR findings were collected and validated.
- Cancer-specific survival (CSS) was the primary endpoint, with statistical analysis to determine the impact of SLR.
Main Results:
- SLR was performed in 55% of patients, with significant regional variation (18%-77%).
- Patients undergoing SLR had a lower risk of BC mortality (HR 0.62, P < .0022).
- Five-year CSS rates were higher for patients with T0 (90%), Ta/Tis (90%), and T1 (82%) tumors at SLR compared to T2-4 (56%).
Conclusions:
- Significant geographical disparities exist in SLR use for stage T1 BC in Sweden, likely due to local treatment variations.
- SLR is associated with improved CSS, although selection bias related to patient age and residual tumor rates may influence outcomes.
- Further research is warranted to standardize SLR protocols and optimize its application in T1 BC management.