Affiliation:
1. VA and Duke University Medical Centers, Durham, NC
Abstract
AbstractObjectivesTo form a composite predictor variable that combines the effects of tumor length, serum prostate-specific antigen (PSA), and International Society of Urologic Pathologists (ISUP) grade on the observation of adverse prostatectomy pathology.MethodsLogistic regression analysis was used to demonstrate how tumor length, serum PSA, and ISUP grade related to adverse prostatectomy results and to derive weighting factors for a composite variable, cx.ResultsThe composite variable, cx, relates closely to adverse prostatectomy results as well as to observed PSA failure.ConclusionsThe composite variable cx uses preoperative information that may allow the sorting of patients into low, intermediate, and high risk for adverse outcomes after prostatectomy.
Publisher
Oxford University Press (OUP)
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献