Nomogram aids clinical decision making after radical cystectomy


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Abstract

Accurate estimates of treatment success, complications and long-term morbidity are essential for patients to make informed medical decisions regarding treatment. Several multivariate prediction models have been developed to predict patient outcome after radical cystectomy (RC) for bladder cancer. The IBCNC postcystectomy nomogram can improve clinical decision making and therefore patient outcome. The inclusion of biomarkers might improve the accuracy of nomogram predictions in the future.

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