Letter to the editor concerning 'Do prostate cancer risk models improve the predictive accuracy of PSA screening? A meta-analysis'

Ann Oncol. 2015 May;26(5):1031. doi: 10.1093/annonc/mdv038. Epub 2015 Feb 2.

Authors

S Carlsson¹, M Assel², A Vickers²

Affiliations

¹ 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: [email protected].
² Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering, New York, USA.

Abstract

Calibration more important statistic than discrimination.

Publication types

Letter
Comment

MeSH terms

Decision Support Techniques*
Humans
Kallikreins / blood*
Male
Models, Biological*
Models, Statistical*
Prostate-Specific Antigen / blood*
Prostatic Neoplasms / blood*

Substances

Kallikreins
Prostate-Specific Antigen

Grants and funding

P30 CA008748/CA/NCI NIH HHS/United States