Objective To test the prognostic role of treatment delay in patients affected by prostate cancer (PCa). Materials and methods The study included 2,653 patients treated with radical prostatectomy (RP) at a single institution between 2006 and 2011. The evaluated outcomes were biochemical recurrence (BCR) and clinical recurrence (CR). Multivariable Cox regression analysis was used to test the association between time from diagnosis to RP and oncological outcomes. Nonparametric curve fitting methods were used to graphically explore the relationship between time from diagnosis to RP and oncological outcomes. Sensitivity analyses were repeated in the subgroups of low-, intermediate-, and high-risk patients. Results At median follow-up of 56 months (interquartile range: 26, 92), 283 patients experienced BCR, and 84 patients developed CR. Median time from PCa diagnosis to surgery was 2.8 months (interquartile range: 1.6, 4.7). At multivariable Cox regression analysis, time from biopsy to RP was significantly associated with an increased risk of BCR (hazard ratio = 1.02, P = 0.0005) and CR (hazard ratio = 1.03, P = 0.0002). Using Nonparametric curve fitting methods, a significant increased risk of BCR and CR after approximately 18 months was observed. However, when sensitivity analyses were repeated according to risk groups, this effect was maintained in high-risk patients only, and such time interval was reduced to 12 months. Conclusions Despite the overall trend on higher rate of cancer relapse after RP, the effect of treatment delay from biopsy to RP was significantly evident in high-risk patients only. Even in high-risk patients surgical treatment can be postponed safely, but not beyond the 12-month landmark.
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|Titolo:||Evaluating the effect of time from prostate cancer diagnosis to radical prostatectomy on cancer control: Can surgery be postponed safely?|
|Data di pubblicazione:||2017|
|Appare nelle tipologie:||01.01 - Articolo su rivista|