Background: Biochemical recurrence (BCR) can be seen in the early or late period after radical prostatectomy (RP). Various models have been developed to predict BCR. Objective: In our study we evaluated accuracy of four pre-operative models (GP score, PRIX, D’Amico risk classification, CAPRA) in predicting BCR after RP in Turkish patients. Methods: Age, preoperative total prostate specific antigen (PSA) values, clinical stages, total number of cores taken in biopsy, number of positive cores, preoperative biopsy Gleason score (GS), follow-up time and presence of BCR after RP were recorded. BCR was defined as a total PSA value > 0.2 ng / dl twice consecutively after RP. Classifications or scoring was performed according to pre-operative models. The 1, 3 and 5 year (yr) BCR-free rates of the patients were determined for each model. Also the accuracy of four predictive models for predicting 1, 3 and 5-yr BCR was evaluated. Results: For all pre-operative models there was statistically significant difference between risk groups in BCR free rates at 1, 3 and 5-yr after RP (p<0.001). The Harrell’s concordance index for 1-yr BCR predictions was 0,802, 0,831, 0,773 and 0,745 for the GP score, PRIX, CAPRA and D’Amico and respectively. For 3-yr BCR predictions it was 0,798, 0,791, 0,723 and 0,714 for the GP score, PRIX, CAPRA and D’Amico and respectively. Finally, The Harrell’s concordance index for 5-yr BCR predictions was 0,778, 0,771, 0,702 and 0,693 for the GP score, PRIX, CAPRA and D’Amico and respectively. Conclusion: In prediction of BCR, accuracy of GP scoring and PRIX seems slightly higher than CAPRA and D’Amico risk classification. Surely our results should be supported by head to head comparisons with in other larger cohorts
