Objective: [corrected] This paper presents a review of the concept of "nomogram" applied to prostate cancer, and specifically as a staging tool.
Methods/results: We describe the essential parameters for the evaluation of such type of predictive models: Calibration, discrimination and clinical usefulness. Such requisites are analyzed using a real clinical case in our clinical setting, comparing the "Partin's tables" and the "Miguel Servet University Hospital's nomogram". We demonstrate its correct calibration, discrimination and clinical usefulness after previous selection of proper cut points.
Conclusion: The application of the predictive model to our clinical practice has achieved a clinical understaging of 17.3% after radical prostatectomy.