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JAMA Guide to Statistics and Methods
January 27, 2015

Decision Curve Analysis

Author Affiliations
  • 1Berry Consultants, Austin, Texas
  • 2Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee
  • 3Department of Emergency Medicine, Harbor-UCLA Medical Center, Torrance, California
  • 4Los Angeles Biomedical Research Institute, Torrance, California
  • 5David Geffen School of Medicine, University of California, Los Angeles
JAMA. 2015;313(4):409-410. doi:10.1001/jama.2015.37

Decision curve analysis (DCA) is a method for evaluating the benefits of a diagnostic test across a range of patient preferences for accepting risk of undertreatment and overtreatment to facilitate decisions about test selection and use.1 In this issue of JAMA, Siddiqui and colleagues2 used DCA to evaluate 3 prostate biopsy strategies: targeted magnetic resonance/ultrasound fusion biopsy, standard extended-sextant biopsy, or a combination, for establishing the diagnosis of intermediate- to high-risk prostate cancer. Their goal was to identify the best biopsy strategy to ensure prostatectomy is offered to patients with intermediate- and high-risk tumors and avoided for patients with low-risk tumors.

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