title: Letter to the editor concerning 'Do prostate cancer risk models improve the predictive accuracy of PSA screening? A meta-analysis'.
authors: Department of Urology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden;; Department of Urology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden;. Electronic address: carlssos@mskcc.org.
authors: S
authors: S
authors: Carlsson
authors: Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering, New York, USA.
authors: M
authors: M
authors: Assel
authors: Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering, New York, USA.
authors: A
authors: A
authors: Vickers
mesh_terms: D003661:Decision Support Techniques; D006801:Humans; D007610:Kallikreins / Q000097:blood*; D008297:Male; D008954:Models, Biological; D015233:Models, Statistical; D017430:Prostate-Specific Antigen / Q000097:blood*; D011471:Prostatic Neoplasms / Q000097:blood*
chemical_list: D007610:Kallikreins; D017430:Prostate-Specific Antigen
references: Epidemiology. 2010 Jan;21(1):128-38
references: 20010215
references: J Clin Oncol. 2014 Dec 20;32(36):4033-4
references: 25366689
references: Ann Oncol. 2015 May;26(5):848-864
references: 25403590