The Range of Uncertainty: A Tool for Efficiently Addressing Result Variability around Clinical Decision Points for Hepatitis C Response-guided Therapy
Author(s) -
Paul Jülicher,
Jens Dhein
Publication year - 2014
Publication title -
biomarker insights
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.075
H-Index - 31
ISSN - 1177-2719
DOI - 10.4137/bmi.s14481
Subject(s) - medicine , context (archaeology) , chronic hepatitis , hepatitis c , clinical practice , hepatitis c virus , medical physics , viral load , artificial intelligence , intensive care medicine , machine learning , computer science , virology , virus , physical therapy , biology , paleontology
Despite efforts to standardize molecular diagnostic tests, performance differences are not rare. Laboratories are challenged in situations where treatment rules have been established using a reference assay that is different from the assays being used in daily practice. Assessing the viral load status of patients with chronic hepatitis C under modern triple therapy is a recognized example. We demonstrate the use of the range of uncertainty as an easy and efficient tool that can provide information on the certainty of a test result's interpretation in the context of making hepatitis C virus treatment decisions.
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