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Letter to the editor concerning 'Do prostate cancer risk models improve the predictive accuracy of PSA screening? A meta-analysis'.
Carlsson, S; Assel, M; Vickers, A.
Affiliation
  • Carlsson S; 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.
  • Assel M; Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering, New York, USA.
  • Vickers A; Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering, New York, USA.
Ann Oncol ; 26(5): 1031, 2015 May.
Article in En | MEDLINE | ID: mdl-25646367
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Kallikreins / Models, Statistical / Decision Support Techniques / Prostate-Specific Antigen / Models, Biological Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies / Systematic_reviews Limits: Humans / Male Language: En Journal: Ann Oncol Year: 2015 Document type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Prostatic Neoplasms / Kallikreins / Models, Statistical / Decision Support Techniques / Prostate-Specific Antigen / Models, Biological Type of study: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies / Screening_studies / Systematic_reviews Limits: Humans / Male Language: En Journal: Ann Oncol Year: 2015 Document type: Article