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World J Urol ; 36(8): 1225-1231, 2018 Aug.
Article in English | MEDLINE | ID: mdl-29549484

ABSTRACT

INTRODUCTION: Prostate cancer (PC) most of the time presents with an indolent course. Thus, delays in treatment due to any causes might not affect long-term survival and may not affect cancer cure rates. PURPOSE: In this study, we evaluated the effect of delay-time between PC diagnosis and radical prostatectomy regarding oncological outcomes: Gleason score upgrade on surgical specimen, pathologic extracapsular extension (ECE) on surgical specimen, and postoperative biochemical recurrence (BCR) on follow-up. METHODS: We evaluated PC patients who underwent radical prostatectomy (RP) regarding clinical and pathological findings and theirs respective interval between diagnosis and surgical treatment measured in days and months. We used univariate and multivariate logistic regression to evaluate the impact of interval-time. RESULTS: A total of 908 PC patients underwent RP between 2006 and 2014. Mean age was 61.5 years, the mean time-to-surgery was 191 days (> 6 months) and 187 (20.5%) patients had BCR, with a mean follow-up of 44 months. According to our analysis, no statistically significant maximum cut-off time interval between diagnostic biopsy and surgery could be established (p = 0.215). Regardless of interval-time: ≤ 6 months (56.5%), 6-12 months (38.5%), and > 12 months (5.1%) after biopsy, we found no time interval correlated with poor oncological outcomes. This study has several limitations. It was retrospective and had a mean follow-up of 4 years. Additional follow-up is necessary to determine whether these findings will be maintained over time. CONCLUSIONS: We showed that the time between diagnosis and surgical treatment did not affect the oncological outcomes in our study.


Subject(s)
Prostatectomy , Prostatic Neoplasms/diagnosis , Prostatic Neoplasms/surgery , Time-to-Treatment , Delayed Diagnosis , Humans , Male , Middle Aged , Neoplasm Grading , Neoplasm Recurrence, Local , Prostate-Specific Antigen , Prostatic Neoplasms/pathology , Regression Analysis , Retrospective Studies , Treatment Outcome
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