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Spirometry parameters used to define small airways obstruction in population-based studies: systematic review
by
Amaral, Andre F. S.
, Mulhern, Octavia
, Knox-Brown, Ben
, Feary, Johanna
in
Airway Obstruction - diagnosis
/ Asthma
/ Chronic obstructive pulmonary disease
/ Complications and side effects
/ Criteria
/ Demographic aspects
/ Global
/ GNI
/ Gross National Income
/ Heterogeneity
/ Humans
/ Longitudinal studies
/ Lung diseases, Obstructive
/ Medicine
/ Medicine & Public Health
/ Meta-analysis
/ Parameter identification
/ Physiology
/ Pneumology/Respiratory System
/ Population
/ Population studies
/ Population-based studies
/ Prevalence
/ Respiratory epidemiology
/ Respiratory Function Tests
/ Risk analysis
/ Risk Factors
/ Search engines
/ Small airways obstruction
/ Software
/ Spirometry
/ Systematic review
2022
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Spirometry parameters used to define small airways obstruction in population-based studies: systematic review
by
Amaral, Andre F. S.
, Mulhern, Octavia
, Knox-Brown, Ben
, Feary, Johanna
in
Airway Obstruction - diagnosis
/ Asthma
/ Chronic obstructive pulmonary disease
/ Complications and side effects
/ Criteria
/ Demographic aspects
/ Global
/ GNI
/ Gross National Income
/ Heterogeneity
/ Humans
/ Longitudinal studies
/ Lung diseases, Obstructive
/ Medicine
/ Medicine & Public Health
/ Meta-analysis
/ Parameter identification
/ Physiology
/ Pneumology/Respiratory System
/ Population
/ Population studies
/ Population-based studies
/ Prevalence
/ Respiratory epidemiology
/ Respiratory Function Tests
/ Risk analysis
/ Risk Factors
/ Search engines
/ Small airways obstruction
/ Software
/ Spirometry
/ Systematic review
2022
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Spirometry parameters used to define small airways obstruction in population-based studies: systematic review
by
Amaral, Andre F. S.
, Mulhern, Octavia
, Knox-Brown, Ben
, Feary, Johanna
in
Airway Obstruction - diagnosis
/ Asthma
/ Chronic obstructive pulmonary disease
/ Complications and side effects
/ Criteria
/ Demographic aspects
/ Global
/ GNI
/ Gross National Income
/ Heterogeneity
/ Humans
/ Longitudinal studies
/ Lung diseases, Obstructive
/ Medicine
/ Medicine & Public Health
/ Meta-analysis
/ Parameter identification
/ Physiology
/ Pneumology/Respiratory System
/ Population
/ Population studies
/ Population-based studies
/ Prevalence
/ Respiratory epidemiology
/ Respiratory Function Tests
/ Risk analysis
/ Risk Factors
/ Search engines
/ Small airways obstruction
/ Software
/ Spirometry
/ Systematic review
2022
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Spirometry parameters used to define small airways obstruction in population-based studies: systematic review
Journal Article
Spirometry parameters used to define small airways obstruction in population-based studies: systematic review
2022
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Overview
Background
The assessment of small airways obstruction (SAO) using spirometry is practiced in population-based studies. However, it is not clear what are the most used parameters and cut-offs to define abnormal results.
Methods
We searched three databases (Medline, Web of Science, Google Scholar) for population-based studies, published by 1 May 2021, that used spirometry parameters to identify SAO and/or provided criteria for defining SAO. We systematically reviewed these studies and summarised evidence to determine the most widely used spirometry parameter and criteria for defining SAO. In addition, we extracted prevalence estimates and identified associated risk factors. To estimate a pooled prevalence of SAO, we conducted a meta-analysis and explored heterogeneity across studies using meta regression.
Results
Twenty-five studies used spirometry to identify SAO. The most widely utilised parameter (15 studies) was FEF
25–75
, either alone or in combination with other measurements. Ten studies provided criteria for the definition of SAO, of which percent predicted cut-offs were the most common (5 studies). However, there was no agreement on which cut-off value to use. Prevalence of SAO ranged from 7.5% to 45.9%. As a result of high heterogeneity across studies (I
2
= 99.3%), explained by choice of spirometry parameter and WHO region, we do not present a pooled prevalence estimate.
Conclusion
There is a lack of consensus regarding the best spirometry parameter or defining criteria for identification of SAO. The value of continuing to measure SAO using spirometry is unclear without further research using large longitudinal data.
PROSPERO registration number
CRD42021250206
Publisher
BioMed Central,BioMed Central Ltd,Nature Publishing Group,BMC
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