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Intention-to-diagnose and distinct research foci in diagnostic accuracy studies

  • Scott R. Evans
  • , Gene Pennello
  • , Shanshan Zhang
  • , Yixuan Li
  • , Yike Wang
  • , Qian Cao
  • , Lauren Komarow
  • , Toshimitsu Hamasaki
  • , Victoria Petrides
  • , Kristen Meier
  • , Norberto Pantoja Galicia
  • , Vance G. Fowler
  • , Helen W. Boucher
  • , Sarah B. Doernberg
  • , Ritu Banerjee
  • , Maria Helena Rigatto
  • , Barry N. Kreiswirth
  • , Robert A. Bonomo
  • , Henry F. Chambers
  • , Robin Patel
  • George Washington University
  • United States Food and Drug Administration
  • Abbott Laboratories
  • Silver Spring
  • Foundation Medicine, Inc.
  • Duke University
  • Tufts University
  • Tufts Medicine
  • University of California at San Francisco
  • Vanderbilt University
  • Universidade Federal do Rio Grande do Sul
  • Case Western Reserve University
  • Mayo Clinic Rochester, MN

Research output: Contribution to journal › Review article › peer-review

7 Scopus citations

Abstract

The intention-to-diagnose principle, an analogue to the intention-to-treat principle in clinical trials, protects the foundation for inference in diagnostic test accuracy studies. This foundation provides for robust control of error rates during hypothesis testing and correct coverage probability during confidence interval estimation of accuracy parameters, in well defined populations for transparent generalisability. The intention-to-diagnose principle requires distinguishing between various non-positive non-negative (NPNN) test results, such as equivocal and invalid results, and appropriate handling of these distinct results during statistical analyses. Pragmatic application accuracy, pragmatic scientific accuracy, and explanatory scientific accuracy are three major research foci in studies of diagnostic test accuracy. Selection of appropriate analysis sets and appropriate handling of NPNN results depend on the specific focus. Selection has important implications regarding preservation of the foundation for statistical inference, generalisability, and comparability with results from other studies. We recommended analyses for diagnostic accuracy studies that include the estimation of accuracy parameters associated with each research foci. A free online tool is available to estimate these accuracy parameters. As with dedicated commitment to the intention-to-treat principle in clinical trials, commitment to application of the intention-to-diagnose principle will lead to studies with high integrity, a comprehensive understanding of the scientific and administration characteristics of the diagnostic test, clarity of interpretation and generalisability, and better clinical decision making.

Original languageEnglish
Pages (from-to)e472-e481
JournalThe Lancet Infectious Diseases
Volume25
Issue number8
DOIs
StatePublished - Aug 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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