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Average Weighted Accuracy: Pragmatic Analysis for a Rapid Diagnostics in Categorizing Acute Lung Infections (RADICAL) Study.

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Date
2020-06
Authors
Liu, Ying
Tsalik, Ephraim L
Jiang, Yunyun
Ko, Emily R
Woods, Christopher W
Henao, Ricardo
Evans, Scott R
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Abstract
Patient management relies on diagnostic information to identify appropriate treatment. Standard evaluations of diagnostic tests consist of estimating sensitivity, specificity, positive/negative predictive values, likelihood ratios, and accuracy. Although useful, these metrics do not convey the tests' clinical value, which is critical to informing decision-making. Full appreciation of the clinical impact of a diagnostic test requires analyses that integrate sensitivity and specificity, account for the disease prevalence within the population of test application, and account for the relative importance of specificity vs sensitivity by considering the clinical implications of false-positive and false-negative results. We developed average weighted accuracy (AWA), representing a pragmatic metric of diagnostic yield or global utility of a diagnostic test. AWA can be used to compare test alternatives, even across different studies. We apply the AWA methodology to evaluate a new diagnostic test developed in the Rapid Diagnostics in Categorizing Acute Lung Infections (RADICAL) study.
Type
Journal article
Subject
average weighted accuracy (AWA)
diagnostic test
diagnostic yield
prevalence
relative importance
Permalink
https://hdl.handle.net/10161/21655
Published Version (Please cite this version)
10.1093/cid/ciz437
Publication Info
Liu, Ying; Tsalik, Ephraim L; Jiang, Yunyun; Ko, Emily R; Woods, Christopher W; Henao, Ricardo; & Evans, Scott R (2020). Average Weighted Accuracy: Pragmatic Analysis for a Rapid Diagnostics in Categorizing Acute Lung Infections (RADICAL) Study. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 70(12). pp. 2736-2742. 10.1093/cid/ciz437. Retrieved from https://hdl.handle.net/10161/21655.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Henao

Ricardo Henao

Associate Professor in Biostatistics & Bioinformatics
Ko

Emily Ray Ko

Assistant Professor of Medicine
Clinical and translational research, COVID-19 therapeutics, clinical biomarkers for infectious disease, hospitalist
Tsalik

Ephraim Tsalik

Adjunct Associate Professor in the Department of Medicine
My research is focused on understanding the dynamic between host and pathogen so as to discover and develop host-response markers that can diagnose and predict health and disease.  This new and evolving approach to diagnosing illness has the potential to significantly impact individual as well as public health considering the rise of antibiotic resistance. With any potential infectious disease diagnosis, it is difficult, if not impossible, to determine at the time of presentation
Woods

Christopher Wildrick Woods

Professor of Medicine
1. Emerging Infections 2. Global Health 3. Epidemiology of infectious diseases 4. Clinical microbiology and diagnostics 5. Bioterrorism Preparedness 6. Surveillance for communicable diseases 7. Antimicrobial resistance
Alphabetical list of authors with Scholars@Duke profiles.
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