Validation Study of the Accuracy of a Postoperative Nomogram for Recurrence After Radical Prostatectomy for Localized Prostate Cancer

Author:

Graefen Markus1,Karakiewicz Pierre I.1,Cagiannos Ilias1,Klein Eric1,Kupelian Patrick A.1,Quinn David I.1,Henshall Susan M.1,Grygiel John J.1,Sutherland Robert L.1,Stricker Phillip D.1,de Kernion Jean1,Cangiano Thomas1,Schröder Fritz H.1,Wildhagen Mark F.1,Scardino Peter T.1,Kattan Michael W.1

Affiliation:

1. From the Departments of Urology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY; Cleveland Clinic, Cleveland, OH; Garvan Institute of Medical Research and St Vincent’s Hospital, Sydney, Australia; University of California Los Angeles, Los Angeles, CA; and Department of Urology, Erasmus University and Academic Hospital, Rotterdam, the Netherlands.

Abstract

PURPOSE: A postoperative nomogram for prostate cancer was developed at Baylor College of Medicine. This nomogram uses readily available clinical and pathologic variables to predict 7-year freedom from recurrence after radical prostatectomy. We evaluated the predictive accuracy of the nomogram when applied to patients of four international institutions. PATIENTS AND METHODS: Clinical and pathologic data of 2,908 patients were supplied for validation, and 2,465 complete records were used. Nomogram-predicted probabilities of 7-year freedom from recurrence were compared with actual follow-up in two ways. First, the area under the receiver operating characteristic curve (AUC) was calculated for all patients and stratified by the time period of surgery. Second, calibration of the nomogram was achieved by comparing the predicted freedom from recurrence with that of an ideal nomogram. For patients in whom the pathologic report does not distinguish between focal and established extracapsular extension (an input variable of the nomogram), two separate calculations were performed assuming one or the other. RESULTS: The overall AUC was 0.80 when applied to the validation data set, with individual institution AUCs ranging from 0.77 to 0.82. The predictive accuracy of the nomogram was apparently higher in patients who were operated on between 1997 and 2000 (AUC, 0.83) compared with those treated between 1987 and 1996 (AUC, 0.78). Nomogram predictions of 7-year freedom from recurrence were within 10% of an ideal nomogram. CONCLUSION: The postoperative Baylor nomogram was accurate when applied at international treatment institutions. Our results suggest that accurate predictions may be expected when using this nomogram across different patient populations.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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