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Predicting Prostate Cancer Recurrence After Radical Prostatectomy
Author(s) -
Jeffers Abra,
Sochat Vanessa,
Kattan Michael W.,
Yu Changhong,
Melcon Erin,
Yamoah Kosi,
Rebbeck Timothy R.,
Whittemore Alice S.
Publication year - 2017
Publication title -
the prostate
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.295
H-Index - 123
eISSN - 1097-0045
pISSN - 0270-4137
DOI - 10.1002/pros.23268
Subject(s) - medicine , prostatectomy , prostate cancer , biochemical recurrence , receiver operating characteristic , confidence interval , body mass index , cohort , prostate , breakpoint cluster region , prostate specific antigen , cancer , urology , oncology , receptor
Prostate cancer prognosis is variable, and management decisions involve balancing patients' risks of recurrence and recurrence-free death. Moreover, the roles of body mass index (BMI) and race in risk of recurrence are controversial [1,2]. To address these issues, we developed and cross-validated RAPS (Risks After Prostate Surgery), a personal prediction model for biochemical recurrence (BCR) within 10 years of radical prostatectomy (RP) that includes BMI and race as possible predictors, and recurrence-free death as a competing risk.