Reporting standards for diagnostic testing. Guidance for authors from editors of respiratory, sleep, and critical care journals

David E. Ost*, David J. Feller-Kopman, Anne V. Gonzalez, Horiana B. Grosu, Felix Herth, Peter Mazzone, John E.S. Park, José M. Porcel, Samira Shojaee, Ioana Tsiligianni, Anil Vachani, Jonathan Bernstein, Richard Branson, Patrick A. Flume, Cezmi A. Akdis, Martin Kolb, Esther Barreiro Portela, Alan Smyth

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)
17 Downloads (Pure)

Abstract

Diagnostic testing is fundamental to medicine. However, studies of diagnostic testing in respiratory medicine vary significantly in terms of their methodology, definitions, and reporting of results. This has led to often conflicting or ambiguous results. To address this issue, a group of 20 respiratory journal editors worked to develop reporting standards for studies of diagnostic testing based on a rigorous methodology to guide authors, peer reviewers, and researchers when conducting studies of diagnostic testing in respiratory medicine. Four key areas are covered, including defining the reference standard of truth, measures of dichotomous test performance when used for dichotomous outcomes, measures of multichotomous test performance for dichotomous outcomes, and what constitutes a useful definition of diagnostic yield. The importance of using contingency tables for reporting results is addressed with examples from the literature. A practical checklist is provided as well for reporting studies of diagnostic testing.

Original languageEnglish
Pages (from-to)207-222
Number of pages16
JournalJournal of Bronchology and Interventional Pulmonology
Volume30
Issue number3
DOIs
Publication statusPublished - 10 Jul 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 Lippincott Williams and Wilkins. All rights reserved.

Keywords

  • bias
  • diagnostic techniques and procedures
  • false positive
  • likelihood ratio
  • predictive value
  • research design
  • sensitivity
  • specificity
  • true positive

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine

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