Predicting biopsy outcomes during active surveillance for prostate cancer: External validation of the Canary Prostate Active Surveillance Study Risk Calculators in five large active surveillance cohorts Journal Article


Authors: Drost, F. J. H.; Nieboer, D.; Morgan, T. M.; Carroll, P. R.; Roobol, M. J.; the Movember Foundations Global Action Plan Prostate Cancer Active Surveillance (GAP) Consortium
Contributors: Ehdaie, B.; Benfante, N.
Article Title: Predicting biopsy outcomes during active surveillance for prostate cancer: External validation of the Canary Prostate Active Surveillance Study Risk Calculators in five large active surveillance cohorts
Abstract: Background: Men with prostate cancer (PCa) on active surveillance (AS) are followed through regular prostate biopsies, a burdensome and often unnecessary intervention, not without risks. Identifying men with at a low risk of disease reclassification may help reduce the number of biopsies. Objective: To assess the external validity of two Canary Prostate Active Surveillance Study Risk Calculators (PASS-RCs), which estimate the probability of reclassification (Gleason grade >= 7 with or without >34% of biopsy cores positive for PCa) on a surveillance biopsy, using a mix of months since last biopsy, age, body mass index, prostate-specific antigen, prostate volume, number of prior negative biopsies, and percentage (or ratio) of positive cores on last biopsy. Design, setting, and participants: We used data up to November 2017 from the Movember Foundation's Global Action Plan (GAP3) consortium, a global collaboration between AS studies. Outcome measurements and statistical analysis: External validity of the PASS-RCs for estimating reclassification on biopsy was assessed by calibration, discrimination, and decision curve analyses. Results and limitations: Five validation cohorts (Prostate Cancer Research International: Active Surveillance, Johns Hopkins, Toronto, Memorial Sloan Kettering Cancer Center, and University of California San Francisco), comprising 5105 men on AS, were eligible for analysis. The individual cohorts comprised 429-2416 men, with a median follow-up between 36 and 84 mo, in both community and academic practices mainly from western countries. Abilities of the PASS-RCs to discriminate between men with and without reclassification on biopsy were reasonably good (area under the receiver operating characteristic curve values 0.68 and 0.65). The PASS-RCs were moderately well calibrated, and had a greater net benefit than most default strategies between a predicted 10% and 30% risk of reclassification. Conclusions: Both PASS-RCs improved the balance between detecting reclassification and performing surveillance biopsies by reducing unnecessary biopsies. Recalibration to the local setting will increase their clinical usefulness and is therefore required before implementation. Patient summary: Unnecessary prostate biopsies while on active surveillance (AS) should be avoided as much as possible. The ability of two calculators to selectively identify men at risk of progression was tested in a large cohort of men with low-risk prostate cancer on AS. The calculators were able to prevent unnecessary biopsies in some men. Usefulness of the calculators can be increased by adjusting them to the characteristics of the population of the clinic in which the calculators will be used. (C) 2019 European Association of Urology. Published by Elsevier B.V. All rights reserved.
Keywords: biopsy; prostate; active surveillance; complications; men; models; update; external validation; net benefit; prias; fusion biopsy; decision curve analyses; disease reclassification; low-risk prostate cancer; risk calculator
Journal Title: European Urology
Volume: 76
Issue: 5
ISSN: 0302-2838
Publisher: Elsevier Science, Inc.  
Date Published: 2019-11-01
Start Page: 693
End Page: 702
Language: English
ACCESSION: WOS:000490122200040
DOI: 10.1016/j.eururo.2019.07.041
PROVIDER: wos
PUBMED: 31451332
Notes: Article -- Source: Wos
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  1. Behfar Ehdaie
    174 Ehdaie
  2. Nicole E Benfante
    161 Benfante