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Preoperative PROSTATE scoring system: a potential predictive tool for the risk of biochemical recurrence after radical prostatectomy

Authors Zhang ZN, Luo C, Xu B, Song HF, Ma BL, Zhang Q

Received 31 May 2018

Accepted for publication 20 August 2018

Published 16 October 2018 Volume 2018:10 Pages 4671—4677

DOI https://doi.org/10.2147/CMAR.S175869

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Ms Justinn Cochran

Peer reviewer comments 2

Editor who approved publication: Dr Beicheng Sun


Zhe-Nan Zhang,1,2,* Cheng Luo,1,2,* Ben Xu,1,2 Hai-Feng Song,1,2 Bing-Lei Ma,1,2 Qian Zhang1,2

1Department of Urology, Peking University First Hospital, Beijing 100034, People’s Republic of China; 2Institute of Urology, Peking University, National Urological Cancer Center, Beijing 100034, People’s Republic of China

*These authors contributed equally to this work

Purpose: To study the association between the preoperative PROSTATE scoring system and the prediction of biochemical recurrence (BCR) risk, after radical prostatectomy (RP) in prostate cancer patients.
Patients and methods: A total of 340 patients who underwent a laparoscopic radical prostatectomy in Peking University First Hospital between November 2007 and March 2016 were included in the study. The preoperative PROSTATE scoring system was measured and calculated. The performance of the scoring system to predict BCR risk was estimated using the receiver operating characteristic curve (ROC curve). BCR-free survival was analyzed using the Kaplan–Meier method, and the log-rank test was applied to compare the differences in risk among the patient groups. The Cox proportional hazards regression was used to analyze the performance of the grouped PROSTATE scores.
Results: Of the total population, 91 (26.8%) patients had BCR. The PROSTATE score was significantly different between the BCR-developed and BCR-free groups (P<0.001). The ROC curve analysis of the scoring system showed an accuracy of 70.7% (95% CI 0.643–0.771) (P<0.001). The percentage of BCR in the high-risk (10–15), moderate-risk (5–9) and low-risk (0–4) groups was 63.3%, 24.6% and 10.3% respectively (P<0.001). The Cox proportional hazards regression analysis revealed that the grouped score was an independent predictor of BCR after RP (HR=2.002; 95% CI 1.222–3.280) (P=0.006).
Conclusion: The PROSTATE scoring system performed adequately in predicting the risk of BCR after RP. The scoring system can assist in decision-making about the operation and postoperative follow-up for patients with high-risk.

Keywords: PROSTATE scoring system, biochemical recurrence, radical prostatectomy, predictive, prostate cancer, preoperative

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