Implementing the use of nomograms by choosing threshold points in predictive models: 2012 updated Partin Tables vs a European predictive nomogram for organ-confined disease in prostate cancer

摘要

Cohort of 1285 patients with prostate cancer treated with RP at Institute Valenciano de Oncologia (IVO) between 1986 and 2011.The predictive value of the nomograms was assessed by means of calibration curves, discrimination ability (area under the receiver operating characteristic (ROC) curve (AUC) and probability density functions). The clinical utility was evaluated through Vickers' decision curves and thresholds were chosen through probability density functions.