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Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
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A nomogram predicting metastatic progression after radical prostatectomy.

Christopher R Porter1, Nazareno Suardi, Koichi Kodama

  • 1Department of Urology, Virginia Mason Medical Center, Seattle, Washington, USA.

International Journal of Urology : Official Journal of the Japanese Urological Association
|July 30, 2008
PubMed
Summary
This summary is machine-generated.

This study developed a nomogram to predict prostate cancer metastatic progression after surgery. The tool accurately estimates the probability of cancer spread up to 20 years post-radical prostatectomy.

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Area of Science:

  • Urology
  • Oncology
  • Medical Statistics

Background:

  • Metastatic progression is a critical indicator of poor prognosis in prostate cancer patients.
  • Accurate prediction of metastatic progression is essential for personalized treatment strategies post-radical prostatectomy.

Purpose of the Study:

  • To develop and internally validate a nomogram for predicting individual metastatic progression risk after radical prostatectomy.
  • To assess the nomogram's accuracy in estimating the conditional probability of metastatic progression over time.

Main Methods:

  • Cox regression and competing risks analysis were used to model metastatic progression in 752 patients.
  • Predictors included pathological stage T3, Gleason sum, adjuvant radiotherapy, and co-morbidities.
  • Internal validation was performed using 200 bootstrap resamples.

Main Results:

  • 11.3% of patients developed metastatic progression over a mean follow-up of 11.6 years.
  • The nomogram demonstrated predictive accuracy ranging from 80.2% at 5 years to 76.0% at 20 years.
  • Pathological stage T3, Gleason sum, adjuvant radiotherapy, and co-morbidities were independent predictors.

Conclusions:

  • The developed nomogram accurately predicts the probability of metastatic progression up to 20 years after radical prostatectomy.
  • This tool can aid in risk stratification and clinical decision-making for prostate cancer patients.