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Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

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Development and external validation of an extended repeat biopsy nomogram.

Felix K-H Chun¹, Alberto Briganti, Markus Graefen

¹Cancer Prognostics and Health Outcomes Unit, University of Montreal, Montreal, Quebec, Canada.

The Journal of Urology

|January 16, 2007

Summary

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This study developed a new nomogram to predict prostate cancer in repeat biopsies, achieving 76% accuracy. The tool shows better performance in European men compared to American men.

Area of Science:

Urology
Oncology
Medical Statistics

Background:

Repeat prostate biopsies are crucial for diagnosing cancer missed in initial assessments.
Accurate prediction of repeat biopsy outcomes can optimize patient management and reduce unnecessary procedures.

Purpose of the Study:

To develop and validate a predictive model (nomogram) for the outcome of repeat prostate biopsies.
To assess the accuracy of the developed nomogram in contemporary European and American cohorts.

Main Methods:

A nomogram was developed using data from 1,082 men in Hamburg, Germany.
Predictors included age, digital rectal examination, prostate-specific antigen, free prostate-specific antigen percentage, prior negative biopsies, and sampling density.
Multivariate logistic regression and bootstrap validation were employed.

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Main Results:

Prostate cancer was detected in 30.2% of men undergoing repeat biopsy.
The developed nomogram achieved 76% accuracy after internal validation.
External validation showed accuracies of 74% (Hamburg), 78% (Milan), and 68% (Seattle).

Conclusions:

The new 6-predictor nomogram demonstrates superior accuracy over previous models in European men.
Predictive accuracy was lower in American men, potentially due to racial, clinical, or biochemical differences.
This tool aids in predicting repeat prostate biopsy outcomes, particularly in European populations.