Average Weighted Accuracy: Pragmatic Analysis for a Rapid Diagnostics in Categorizing Acute Lung Infections (RADICAL) Study.
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 articlePermalink
https://hdl.handle.net/10161/21655Published Version (Please cite this version)
10.1093/cid/ciz437Publication 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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Show full item recordScholars@Duke
Ricardo Henao
Associate Professor in Biostatistics & Bioinformatics
Emily Ray Ko
Assistant Professor of Medicine
Clinical and translational research, COVID-19 therapeutics, clinical biomarkers for
infectious disease.
Ephraim Tsalik
Adjunct Associate Professor in the Department of Medicine
My research at Duke has 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 pre
Christopher Wildrick Woods
Wolfgang Joklik Distinguished Professor of Global Health
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
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