Use of nomograms to predict the risk of disease recurrence after definitive local therapy for prostate cancer Journal Article


Authors: DiBlasio, C. J.; Kattan, M. W.
Article Title: Use of nomograms to predict the risk of disease recurrence after definitive local therapy for prostate cancer
Abstract: The generally indolent nature of prostate cancer, as well as the impact that treatment can have on quality of life (QOL) and cancer control, makes the decision analysis difficult for patients facing the task of selecting a treatment for clinically localized disease. Instruments to aid patients and their physicians in this decision analysis are needed. Nomograms are instruments that predict outcomes using specific clinical parameters. Nomograms use algorithms that incorporate several variables to calculate the predicted probability that a patient will achieve a particular clinical end point. Nomograms tend to outperform both clinical experts and predictive models using methods of risk grouping. We briefly outline the uses and limitations of nomograms, principles of nomogram construction, and the available models for predicting the progression-free probability after local definitive therapy with radical prostatectomy, external-beam radiotherapy, or brachytherapy. There is a need for additional nomograms that predict outcomes after salvage therapy, as well other clinical end points, including QOL-adjusted survival. © 2003 Elsevier Inc.
Keywords: survival; cancer survival; treatment outcome; survival analysis; cancer surgery; disease course; review; cancer localization; cancer recurrence; salvage therapy; cancer growth; cancer risk; cancer radiotherapy; adenocarcinoma; prostate specific antigen; metastasis; quality of life; neoplasm recurrence, local; neoplasm proteins; cancer screening; pathology; algorithms; cancer therapy; risk; prostate cancer; prostate-specific antigen; prostatic neoplasms; blood; statistical analysis; algorithm; probability; prostatectomy; disease progression; tumor recurrence; prostate tumor; tumor protein; neoplasm metastasis; brachytherapy; cancer control; parameter; nomogram; actuarial analysis; humans; prognosis; human; male; priority journal
Journal Title: Urology
Volume: 62
Issue: Suppl. 1
ISSN: 0090-4295
Publisher: Elsevier Science, Inc.  
Date Published: 2003-12-29
Start Page: 9
End Page: 18
Language: English
DOI: 10.1016/j.urology.2003.09.029
PUBMED: 14747038
PROVIDER: scopus
DOI/URL:
Notes: Export Date: 25 September 2014 -- Source: Scopus
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  1. Michael W Kattan
    218 Kattan