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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2018
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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. |
format | Online Article Text |
id | pubmed-5803996 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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