Diagnostic accuracy of a clinical diagnosis of idiopathic pulmonary fibrosis: an international case-cohort study
Diagnostic accuracy of a clinical diagnosis of idiopathic pulmonary fibrosis: an international case-cohort study
We conducted an international study of idiopathic pulmonary fibrosis (IPF) diagnosis among a large group of physicians and compared their diagnostic performance to a panel of IPF experts.
A total of 1141 respiratory physicians and 34 IPF experts participated. Participants evaluated 60 cases of interstitial lung disease (ILD) without interdisciplinary consultation. Diagnostic agreement was measured using the weighted kappa coefficient (κw). Prognostic discrimination between IPF and other ILDs was used to validate diagnostic accuracy for first-choice diagnoses of IPF and were compared using the C-index.
A total of 404 physicians completed the study. Agreement for IPF diagnosis was higher among expert physicians (κw=0.65, IQR 0.53–0.72, p20 years of experience (C-index=0.72, IQR 0.0–0.73, p=0.229) and non-university hospital physicians with more than 20 years of experience, attending weekly MDT meetings (C-index=0.72, IQR 0.70–0.72, p=0.052), did not differ significantly (p=0.229 and p=0.052 respectively) from the expert panel (C-index=0.74 IQR 0.72–0.75).
Experienced respiratory physicians at university-based institutions diagnose IPF with similar prognostic accuracy to IPF experts. Regular MDT meeting attendance improves the prognostic accuracy of experienced non-university practitioners to levels achieved by IPF experts.
Walsh, Simon L.F.
229a3dbd-04d7-4f46-9efa-aa8315293019
Maher, Toby M.
6c166764-7a4e-4d20-b528-381a7218ea0b
Kolb, Martin
f7169cba-735d-4c03-b348-55f170d1b5dd
Fletcher, Sophie
71599088-9df7-4d4a-8570-aef773ead0fe
The IPF Project Consortium
Walsh, Simon L.F.
229a3dbd-04d7-4f46-9efa-aa8315293019
Maher, Toby M.
6c166764-7a4e-4d20-b528-381a7218ea0b
Kolb, Martin
f7169cba-735d-4c03-b348-55f170d1b5dd
Fletcher, Sophie
71599088-9df7-4d4a-8570-aef773ead0fe
Walsh, Simon L.F., Maher, Toby M. and Kolb, Martin
,
The IPF Project Consortium
(2017)
Diagnostic accuracy of a clinical diagnosis of idiopathic pulmonary fibrosis: an international case-cohort study.
European Respiratory Journal, 50 (2).
(doi:10.1183/13993003.00936-2017).
Abstract
We conducted an international study of idiopathic pulmonary fibrosis (IPF) diagnosis among a large group of physicians and compared their diagnostic performance to a panel of IPF experts.
A total of 1141 respiratory physicians and 34 IPF experts participated. Participants evaluated 60 cases of interstitial lung disease (ILD) without interdisciplinary consultation. Diagnostic agreement was measured using the weighted kappa coefficient (κw). Prognostic discrimination between IPF and other ILDs was used to validate diagnostic accuracy for first-choice diagnoses of IPF and were compared using the C-index.
A total of 404 physicians completed the study. Agreement for IPF diagnosis was higher among expert physicians (κw=0.65, IQR 0.53–0.72, p20 years of experience (C-index=0.72, IQR 0.0–0.73, p=0.229) and non-university hospital physicians with more than 20 years of experience, attending weekly MDT meetings (C-index=0.72, IQR 0.70–0.72, p=0.052), did not differ significantly (p=0.229 and p=0.052 respectively) from the expert panel (C-index=0.74 IQR 0.72–0.75).
Experienced respiratory physicians at university-based institutions diagnose IPF with similar prognostic accuracy to IPF experts. Regular MDT meeting attendance improves the prognostic accuracy of experienced non-university practitioners to levels achieved by IPF experts.
More information
Accepted/In Press date: 30 May 2017
e-pub ahead of print date: 31 August 2017
Identifiers
Local EPrints ID: 486015
URI: http://eprints.soton.ac.uk/id/eprint/486015
ISSN: 0903-1936
PURE UUID: d3898f38-68e3-4675-b882-f70e76caf993
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Date deposited: 05 Jan 2024 17:52
Last modified: 21 Sep 2024 02:15
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Contributors
Author:
Simon L.F. Walsh
Author:
Toby M. Maher
Author:
Martin Kolb
Author:
Sophie Fletcher
Corporate Author: The IPF Project Consortium
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