Related Experiment Video
Updated: Jul 11, 2025
Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Establishment and assessment of a nomogram for predicting prognosis in bone-metastatic prostate cancer
Wenfei Liu1,2, Zhiyong Wang3, Yanying Wu4
1Department of Pain, The Second Hospital of Dalian Medical University, Dalian, Liaoning, P.R. China.
Objective:
For the purposes of patients' consultation, condition assessments, and guidance for clinicians' choices, we developed a prognostic predictive model to evaluate the 1-, 3-, and 5-year overall survival (OS) rates of bone-metastatic prostate cancer (PCa) patients.
Methods:
We gathered data from 5522 patients with bone metastatic PCa registered in the Surveillance, Epidemiology, and End Results (SEER) database to develop a nomogram. A total of 359 bone metastatic PCas were collected from 2 hospitals to validate the nomogram and assess its discriminatory ability. In addition, we plotted the actual survival against the predicted risk to assess the calibration accuracy. Moreover, we designed a web calculator to quickly obtain accurate survival probability outcomes.
Results:
Univariate and multivariate Cox hazard regression analyses suggested that age, marital status, prostate-specific antigen (PSA) level, Gleason score, clinical T stage, N stage, surgery, and chemotherapy were closely associated with OS rates. The calibration charts of the training and validation groups showed a high accuracy and reliability. The decision curve analysis (DCA) suggested a favorable clinical net benefit.
Conclusion:
Based on demography and clinical pathology, we developed a reliable nomogram to help clinicians more accurately predict the 1-, 3-, and 5-year OS rates of patients with bone metastatic PCa to guide evaluation and treatment.
