External validation of the SEARCH model for predicting aggressive recurrence after radical prostatectomy: results from the Duke Prostate Center Database
Article first published online: 26 AUG 2010
© 2010 THE AUTHORS. JOURNAL COMPILATION © 2010 BJU INTERNATIONAL
Volume 106, Issue 6, pages 796–800, September 2010
How to Cite
Teeter, A. E., Sun, L., Moul, J. W. and Freedland, S. J. (2010), External validation of the SEARCH model for predicting aggressive recurrence after radical prostatectomy: results from the Duke Prostate Center Database. BJU International, 106: 796–800. doi: 10.1111/j.1464-410X.2010.09214.x
- Issue published online: 26 AUG 2010
- Article first published online: 26 AUG 2010
- Accepted for publication 27 November 2009
- prostate cancer;
- doubling time;
- biochemical recurrence;
- tumour markers
Study Type – Prognosis (retrospective cohort) Level of Evidence 2b
To validate a model previously developed using the Shared Equal Access Regional Cancer Hospital (SEARCH) database to predict the risk of aggressive recurrence after surgery, defined as a prostate-specific antigen (PSA) doubling time (DT) of <9 months, incorporating pathological stage, preoperative PSA level and pathological Gleason sum, that had an area under the curve (AUC) of 0.79 using a cohort of men from the Duke Prostate Center (DPC).
PATIENTS AND METHODS
Data were included from 1989 men from the DPC database who underwent RP for node-negative prostate cancer between 1987 and 2003. Of these men, 100 had disease recurrence, with a PSADT of <9 months, while 1889 either did not have a recurrence but had ≥36 months of follow-up or had a recurrence with a PSADT of ≥9 months. We examined the ability of the SEARCH model to predict aggressive recurrence within the DPC cohort, and examined the correlation between the predicted risk of aggressive recurrence and the actual outcome within DPC.
The SEARCH model predicted aggressive recurrence within DPC with an AUC of 0.82. There was a strong and significant correlation between the predicted risk of aggressive recurrence based on the SEARCH tables and the actual outcomes within DPC (r= 0.68, P < 0.001), although the model predictions tended to be slightly higher than the actual risk.
The SEARCH model to predict aggressive recurrence after RP predicted aggressive recurrence in an external dataset with a high degree of accuracy. These tables, now validated, can be used to help select men for adjuvant therapy and clinical trials.