title: Reply to the letter to the editor 'Do prostate cancer risk models improve the predictive accuracy of PSA screening? A meta-analysis' by Louie et al.
authors: Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK;. Electronic address: k.louie@qmul.ac.uk.
authors: K S
authors: KS
authors: Louie
authors: Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK;; Université Joseph Fourier Grenoble 1, CNRS, TIMC-IMAG UMR 5525, Grenoble;; Unité d'évaluation Médicale, Centre Hospitalier Universitaire de Grenoble, Grenoble, France.
authors: A
authors: A
authors: Seigneurin
authors: Department of Urology, University College Hospital London & St Bartholomew's Hospital London & Centre for Experimental Cancer Medicine, Bart's Cancer Institute, London, UK.
authors: P
authors: P
authors: Cathcart
authors: Wolfson Institute of Preventive Medicine, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
authors: P
authors: P
authors: Sasieni
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