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

Journal Article

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.

Full Text

Duke Authors

Cited Authors

  • Liu, Y; Tsalik, EL; Jiang, Y; Ko, ER; Woods, CW; Henao, R; Evans, SR

Published Date

  • June 10, 2020

Published In

Volume / Issue

  • 70 / 12

Start / End Page

  • 2736 - 2742

PubMed ID

  • 31157863

Pubmed Central ID

  • 31157863

Electronic International Standard Serial Number (EISSN)

  • 1537-6591

Digital Object Identifier (DOI)

  • 10.1093/cid/ciz437

Language

  • eng

Conference Location

  • United States