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Updated: Jun 1, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Between-method differences in prostate-specific antigen assays affect prostate cancer risk prediction by nomograms.
Carsten Stephan1, Kerstin Siemssen, Henning Cammann
1Department of Urology, Charité - Universitätsmedizin Berlin, Berlin, Germany. carsten.stephan@charite.de
Prostate cancer (PCa) risk prediction nomograms show significant variation due to differences in prostate-specific antigen (PSA) assay methods. This impacts accuracy, necessitating cautious use of these tools for reliable PCa detection.
Area of Science:
- Urology
- Oncology
- Medical Diagnostics
Background:
- Prostate cancer (PCa) risk prediction nomograms currently do not account for variability between different prostate-specific antigen (PSA) assay methods.
- This oversight may impact the reliability of PCa risk assessments.
Purpose of the Study:
- To evaluate the impact of inter-assay variability in prostate-specific antigen (PSA) measurements on the accuracy of established PCa risk prediction nomograms.
- To assess how different PSA assays affect the calibration and discrimination capabilities of PCa nomograms.
Main Methods:
- Measured total PSA (tPSA) and free PSA in 780 biopsy-referred men using five distinct assays.
- Applied these measurements and other clinical data to five established PCa detection nomograms.
- Evaluated nomogram accuracy using discrimination and calibration criteria.
Main Results:
- Significant variations in nomogram calibration and discrimination were observed across different PSA assays.
- Median PCa probabilities varied from 0.59 to 0.76 within the same nomogram when different PSA assays were used.
- While areas under the ROC curve were comparable, sensitivities and specificities differed considerably at various probability cutoffs.
Conclusions:
- The agreement between different PSA assays limits the accuracy of PCa risk probabilities generated by nomograms.
- Inter-assay variability can lead to unacceptable variations in PCa risk prediction.
- A more cautious approach to applying PCa nomograms is recommended due to assay-dependent discrepancies.
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