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Characterizing undiagnosed chronic obstructive pulmonary disease: a systematic review and meta-analysis

BACKGROUND: A significant proportion of patients with chronic obstructive pulmonary disease (COPD) remain undiagnosed. Characterizing these patients can increase our understanding of the ‘hidden’ burden of COPD and the effectiveness of case detection interventions. METHODS: We conducted a systematic...

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Autores principales: Johnson, Kate M., Bryan, Stirling, Ghanbarian, Shahzad, Sin, Don D., Sadatsafavi, Mohsen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5803996/
https://www.ncbi.nlm.nih.gov/pubmed/29415723
http://dx.doi.org/10.1186/s12931-018-0731-1
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author Johnson, Kate M.
Bryan, Stirling
Ghanbarian, Shahzad
Sin, Don D.
Sadatsafavi, Mohsen
author_facet Johnson, Kate M.
Bryan, Stirling
Ghanbarian, Shahzad
Sin, Don D.
Sadatsafavi, Mohsen
author_sort Johnson, Kate M.
collection PubMed
description BACKGROUND: A significant proportion of patients with chronic obstructive pulmonary disease (COPD) remain undiagnosed. Characterizing these patients can increase our understanding of the ‘hidden’ burden of COPD and the effectiveness of case detection interventions. METHODS: We conducted a systematic review and meta-analysis to compare patient and disease factors between patients with undiagnosed persistent airflow limitation and those with diagnosed COPD. We searched MEDLINE and EMBASE for observational studies of adult patients meeting accepted spirometric definitions of COPD. We extracted and pooled summary data on the proportion or mean of each risk factor among diagnosed and undiagnosed patients (unadjusted analysis), and coefficients for the adjusted association between risk factors and diagnosis status (adjusted analysis). RESULTS: Two thousand eighty-three records were identified through database searching and 16 articles were used in the meta-analyses. Diagnosed patients were less likely to have mild (v. moderate to very severe) COPD (odds ratio [OR] 0.30, 95%CI 0.24–0.37, 6 studies) in unadjusted analysis. This association remained significant but its strength was attenuated in the adjusted analysis (OR 0.72, 95%CI 0.58–0.89, 2 studies). Diagnosed patients were more likely to report respiratory symptoms such as wheezing (OR 3.51, 95%CI 2.19–5.63, 3 studies) and phlegm (OR 2.16, 95% CI 1.38–3.38, 3 studies), had more severe dyspnea (mean difference in modified Medical Research Council scale 0.52, 95%CI 0.40–0.64, 3 studies), and slightly greater smoking history than undiagnosed patients. Patient age, sex, current smoking status, and the presence of coughing were not associated with a previous diagnosis. CONCLUSIONS: Undiagnosed patients had less severe airflow obstruction and fewer respiratory symptoms than diagnosed patients. The lower disease burden in undiagnosed patients may significantly delay the diagnosis of COPD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12931-018-0731-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-58039962018-02-14 Characterizing undiagnosed chronic obstructive pulmonary disease: a systematic review and meta-analysis Johnson, Kate M. Bryan, Stirling Ghanbarian, Shahzad Sin, Don D. Sadatsafavi, Mohsen Respir Res Research BACKGROUND: A significant proportion of patients with chronic obstructive pulmonary disease (COPD) remain undiagnosed. Characterizing these patients can increase our understanding of the ‘hidden’ burden of COPD and the effectiveness of case detection interventions. METHODS: We conducted a systematic review and meta-analysis to compare patient and disease factors between patients with undiagnosed persistent airflow limitation and those with diagnosed COPD. We searched MEDLINE and EMBASE for observational studies of adult patients meeting accepted spirometric definitions of COPD. We extracted and pooled summary data on the proportion or mean of each risk factor among diagnosed and undiagnosed patients (unadjusted analysis), and coefficients for the adjusted association between risk factors and diagnosis status (adjusted analysis). RESULTS: Two thousand eighty-three records were identified through database searching and 16 articles were used in the meta-analyses. Diagnosed patients were less likely to have mild (v. moderate to very severe) COPD (odds ratio [OR] 0.30, 95%CI 0.24–0.37, 6 studies) in unadjusted analysis. This association remained significant but its strength was attenuated in the adjusted analysis (OR 0.72, 95%CI 0.58–0.89, 2 studies). Diagnosed patients were more likely to report respiratory symptoms such as wheezing (OR 3.51, 95%CI 2.19–5.63, 3 studies) and phlegm (OR 2.16, 95% CI 1.38–3.38, 3 studies), had more severe dyspnea (mean difference in modified Medical Research Council scale 0.52, 95%CI 0.40–0.64, 3 studies), and slightly greater smoking history than undiagnosed patients. Patient age, sex, current smoking status, and the presence of coughing were not associated with a previous diagnosis. CONCLUSIONS: Undiagnosed patients had less severe airflow obstruction and fewer respiratory symptoms than diagnosed patients. The lower disease burden in undiagnosed patients may significantly delay the diagnosis of COPD. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12931-018-0731-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-07 2018 /pmc/articles/PMC5803996/ /pubmed/29415723 http://dx.doi.org/10.1186/s12931-018-0731-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Johnson, Kate M.
Bryan, Stirling
Ghanbarian, Shahzad
Sin, Don D.
Sadatsafavi, Mohsen
Characterizing undiagnosed chronic obstructive pulmonary disease: a systematic review and meta-analysis
title Characterizing undiagnosed chronic obstructive pulmonary disease: a systematic review and meta-analysis
title_full Characterizing undiagnosed chronic obstructive pulmonary disease: a systematic review and meta-analysis
title_fullStr Characterizing undiagnosed chronic obstructive pulmonary disease: a systematic review and meta-analysis
title_full_unstemmed Characterizing undiagnosed chronic obstructive pulmonary disease: a systematic review and meta-analysis
title_short Characterizing undiagnosed chronic obstructive pulmonary disease: a systematic review and meta-analysis
title_sort characterizing undiagnosed chronic obstructive pulmonary disease: a systematic review and meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5803996/
https://www.ncbi.nlm.nih.gov/pubmed/29415723
http://dx.doi.org/10.1186/s12931-018-0731-1
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