BACKGROUND: Risk stratification of patients with urothelial carcinoma of the bladder (UCB) after cystectomy has important clinical and research implications. The authors assessed the relative effect of tumor stage and lymph node status on cancer-specific survival (CSS) after cystectomy and developed a simplified risk-assessment tool. METHODS: In total, 14,828 patients who underwent cystectomy with lymph node dissection for UCB were identified from the Surveillance, Epidemiology, and End Results database (1988-2011). The relative importance of tumor stage and lymph node status with regard to CSS was assessed using stratified Kaplan-Meier and Cox proportional-hazards analyses. The patients were split randomly into development and validation cohorts. Additional validation using overall survival was performed on 19,362 patients from the National Cancer Data Base. The Cancer of Bladder Risk Assessment (COBRA) tool was created using a Cox model incorporating age, tumor stage, and lymph node density. Performance was validated using observed versus expected survival plots and the Harrell concordance index. RESULTS: Patients with muscle invasive (T2), lymph node-positive disease had a survival curve similar to that in patients with extravesical (T3 and T4), lymph node-negative disease (2-year CSS, 67% and 70%, respectively). Each point increase in the COBRA score (range, 0-7) was associated with a 1.61-fold increase (95% confidence interval, 1.56-fold to 1.65-fold increase) in the risk of bladder cancer death in the development cohort. The model accurately stratified patients across risk levels in the development cohort and the 2 validation cohorts (C-index, 0.712, 0.705, and 0.68, respectively). CONCLUSIONS: The COBRA score offers a straightforward, validated risk-stratification tool that incorporates the relative contribution of tumor stage and lymph node involvement to patient prognosis after cystectomy for UCB. Cancer 2017;123:4574-4582.
BACKGROUND: Risk stratification of patients with urothelial carcinoma of the bladder (UCB) after cystectomy has important clinical and research implications. The authors assessed the relative effect of tumor stage and lymph node status on cancer-specific survival (CSS) after cystectomy and developed a simplified risk-assessment tool. METHODS: In total, 14,828 patients who underwent cystectomy with lymph node dissection for UCB were identified from the Surveillance, Epidemiology, and End Results database (1988-2011). The relative importance of tumor stage and lymph node status with regard to CSS was assessed using stratified Kaplan-Meier and Cox proportional-hazards analyses. The patients were split randomly into development and validation cohorts. Additional validation using overall survival was performed on 19,362 patients from the National Cancer Data Base. The Cancer of Bladder Risk Assessment (COBRA) tool was created using a Cox model incorporating age, tumor stage, and lymph node density. Performance was validated using observed versus expected survival plots and the Harrell concordance index. RESULTS:Patients with muscle invasive (T2), lymph node-positive disease had a survival curve similar to that in patients with extravesical (T3 and T4), lymph node-negative disease (2-year CSS, 67% and 70%, respectively). Each point increase in the COBRA score (range, 0-7) was associated with a 1.61-fold increase (95% confidence interval, 1.56-fold to 1.65-fold increase) in the risk of bladder cancer death in the development cohort. The model accurately stratified patients across risk levels in the development cohort and the 2 validation cohorts (C-index, 0.712, 0.705, and 0.68, respectively). CONCLUSIONS: The COBRA score offers a straightforward, validated risk-stratification tool that incorporates the relative contribution of tumor stage and lymph node involvement to patient prognosis after cystectomy for UCB. Cancer 2017;123:4574-4582.
Authors: Lisa M Lines; Julia Cohen; Justin Kirschner; Michael T Halpern; Erin E Kent; Michelle A Mollica; Ashley Wilder Smith Journal: Int J Med Inform Date: 2020-10-21 Impact factor: 4.046
Authors: Juan Carlos Pardo; Tamara Sanhueza; Vicenç Ruiz de Porras; Olatz Etxaniz; Helena Rodriguez; Anna Martinez-Cardús; Enrique Grande; Daniel Castellano; Miquel A Climent; Tania Lobato; Lidia Estudillo; Mireia Jordà; Cristina Carrato; Albert Font Journal: J Clin Med Date: 2022-01-19 Impact factor: 4.241