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Benefit-risk Evaluation for Diagnostics: A Framework (BED-FRAME)
Author(s) -
Scott Evans,
Gene Pennello,
Norberto PantojaGalicia,
Hongyu Jiang,
Andrea M. Hujer,
Kristine M. Hujer,
Claudia Manca,
Carol Hill,
Michael R. Jacobs,
Liang Chen,
Robin Patel,
Barry N. Kreiswirth,
Robert A. Bonomo
Publication year - 2016
Publication title -
clinical infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.44
H-Index - 336
eISSN - 1537-6591
pISSN - 1058-4838
DOI - 10.1093/cid/ciw329
Subject(s) - medicine , frame (networking) , risk analysis (engineering) , diagnostic test , medical diagnosis , intensive care medicine , medical physics , computer science , pathology , pediatrics , telecommunications
The medical community needs systematic and pragmatic approaches for evaluating the benefit-risk trade-offs of diagnostics that assist in medical decision making. Benefit-Risk Evaluation of Diagnostics: A Framework (BED-FRAME) is a strategy for pragmatic evaluation of diagnostics designed to supplement traditional approaches. BED-FRAME evaluates diagnostic yield and addresses 2 key issues: (1) that diagnostic yield depends on prevalence, and (2) that different diagnostic errors carry different clinical consequences. As such, evaluating and comparing diagnostics depends on prevalence and the relative importance of potential errors. BED-FRAME provides a tool for communicating the expected clinical impact of diagnostic application and the expected trade-offs of diagnostic alternatives. BED-FRAME is a useful fundamental supplement to the standard analysis of diagnostic studies that will aid in clinical decision making.

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