Evidence map›Paper›PMID 40553814›Full record

ArticleChest2025

Anomalous Differences Between the Global Lung Function Initiative 2023 and 2012 Spirometry Reference Values.

Brian L Graham, Veronica Marcoux, Yet H Khor, Allan L Coates

Abstract read
In one paragraph

Article in Chest, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Brian L GrahamDivision of Respirology, Critical Care and Sleep Medicine, University of Saskatchewan, Saskatoon, SK, Canada. Electronic address: brian.graham@usask.ca.
Veronica MarcouxDivision of Respirology, Critical Care and Sleep Medicine, University of Saskatchewan, Saskatoon, SK, Canada.
Yet H KhorSchool of Translational Medicine, Monash University, Melbourne, VIC, Australia.
Allan L CoatesResearch Institute, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 2012, the Global Lung Function Initiative (GLI) collected a large international database of spirometry measurements in healthy people from which predicted spirometric values were derived based on sex, age, and height for people from 4 different geographic ancestral groups. In 2023, a single set of predicted spirometry values was developed for the entire data set, designed to be independent of ancestry. RESEARCH QUESTION: What impact do differences in the proportion of participants from the 4 ancestral groups at each age cohort of the GLI database have on differences between predicted values using the 2012 and 2023 equations? STUDY DESIGN AND

methodsBecause 77.4% of participants in the GLI spirometry database are of broadly European ancestry, the GLI 2023 spirometry reference values used an inverse probability weighting to approximate an equal contribution of each of the 4 different ancestral groups to develop predicted global spirometric values. This study examined the consequences of using a constant inverse probability weighting factor for each ancestral group over the entire age range from 3.5 to 95 years.

resultsThe proportional number of participants from each ancestry group in each age cohort varied considerably. The contribution of the European ancestry group, which had the largest predicted lung volumes, was highest in younger children and in older adults. The net effect was that when using GLI 2023 spirometry reference values, predicted lung volumes in older adults were higher than the lung volumes predicted for any of the 4 individual ancestral groups using GLI 2012 spirometry reference values. The opposite effect was found in children and adolescents.

interpretationIt was concluded that the inverse weighting strategy used to develop the GLI 2023 spirometric reference values introduced a systematic bias that skewed the predicted values, producing progressively overestimated predicted lung volumes with increasing age in adults and progressively underestimated predicted lung volumes with increasing age in children and adolescents.

Indexed as

LungSpirometryAdolescentAdultAgedAged, 80 and overChildChild, PreschoolDatabases, FactualFemaleForced Expiratory VolumeHumansMaleMiddle AgedReference ValuesWhite Peoplepredicted valuespulmonary function testsreference equationsspirometry

Identifiers

PMID40553814
PMCPMC12831081

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.