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Updated: Aug 29, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Use of nomograms for predicting survival in patients with castrate prostate cancer
Matt Galsky1, William Kevin Kelly
1Department of Medicine, Joan and Sanford I. Weill Medical College of Cornell University, New York, New York, USA.
Abstract:
Given the heterogeneity of prognoses in patients with castrate metastatic prostate cancer, the ability to accurately predict survival is vital for optimal patient counseling, selection of treatments, clinical trial design, and interpretation of clinical data. Over the past 20 years, several prognostic models have been developed in an attempt to refine the clinician's predictive ability. Early models were based on patients with more advanced disease. They included variables that are no longer regularly encountered today and involved cumbersome calculations that were not practical for everyday use in the clinic. Recently, 2 point-based nomograms have been developed based on pretreatment variables measured on a routine basis. These models provide a user-friendly format in which to make sophisticated predictions of survival. These models have improved our ability to predict the outcomes of patients with castrate metastatic disease. However, further work to identify novel prognostic markers to improve the accuracy of these predictions is needed.
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