Prediction of progression: Nomograms of clinical utility Journal Article


Authors: Kattan, M. W.; Scardino, P. T.
Article Title: Prediction of progression: Nomograms of clinical utility
Abstract: It is difficult to determine the pathologic stage of a clinically localized prostate cancer by physical examination or imaging studies. Consequently, clinicians rely on predictive models that estimate the probability of lymph node metastases and other pathologic features from clinical factors such as the clinical T stage, the grade in the biopsy specimen, and the serum prostate-specific antigen level. These models do not, however, directly predict prognosis. In developing a tool for predicting the probability that prostate cancer might recur after treatment, we took a novel approach that focused on the risk for the individual patient. In particular, we chose to develop a tool that calculates a continuous probability of recurrence rather than placing the patient in a risk group. This represents a fundamental departure from the classical goal of staging; a departure we argue is long overdue. Clinically localized prostate cancer patients deserve the most accurate and tailored predictions available, which current staging systems do not provide. Such an individualized approach should add value in medical decision making whenever an accurate prediction of the outcome may guide treatment selection.
Keywords: immunohistochemistry; aged; middle aged; clinical feature; review; cancer staging; lymph node metastasis; neoplasm staging; cancer grading; sensitivity and specificity; medical decision making; prostate specific antigen; neoplasm recurrence, local; practice guideline; diagnostic imaging; cancer therapy; prediction; prostate cancer; prostate-specific antigen; prostatic neoplasms; probability; prostatectomy; biopsy, needle; disease progression; prostate biopsy; predictive value of tests; gleason grade; outcomes research; physical examination; high risk population; guidelines; nomogram; model; pathologic features; humans; prognosis; human; male; clinical features
Journal Title: Clinical Prostate Cancer
Volume: 1
Issue: 2
ISSN: 1540-0352
Publisher: Elsevier Inc.  
Date Published: 2002-09-01
Start Page: 90
End Page: 96
Language: English
PUBMED: 15046699
PROVIDER: scopus
DOI: 10.3816/CGC.2002.n.010
DOI/URL:
Notes: Export Date: 14 November 2014 -- Source: Scopus
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  1. Peter T Scardino
    671 Scardino
  2. Michael W Kattan
    218 Kattan