Evidence map›Paper›PMID 42209124›Full record

ReviewThe European respiratory journal2026

Are "race-neutral" lung volume prediction equations appropriate? A critical review of the contributions of anthropometric differences and socioeconomic factors to lung volumes.

Thaddeus Bartter, Kristen R R Savell, Brian L Graham, Martin Miller, Allan L Coates, Mary C Townsend, Larry Johnson, Richard Casaburi

Abstract readReview
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In one paragraph

Review in The European respiratory journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Thaddeus BartterUniversity of Arkansas for Medical Sciences and Central Arkansas Veterans Healthcare System, Little Rock, AR, USA tbartter@uams.edu.
Kristen R R SavellDepartment of Biology, Sacred Heart University, Fairfield, CT, USA.
Brian L GrahamDeparment of Medicine, Division of Respirology, Critical Care and Sleep Medicine, University of Saskatchewan, Saskatoon, SK, Canada.
Martin MillerInstitute of Applied Health Sciences, University of Birmingham, Birmingham, UK.
Allan L CoatesDivision of Respiratory Medicine, Research Institute - Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.
Mary C TownsendM.C. Townsend Associates, LLC, Pittsburgh, PA, USA.
Larry JohnsonUniversity of Arkansas for Medical Sciences and Central Arkansas Veterans Healthcare System, Little Rock, AR, USA.
Richard CasaburiRespiratory Research Center, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ostensibly healthy individuals of different geographic ancestries have appreciably different spirometric volumes for any specific sex, age and height. Traditionally, ancestry has been felt to be an integral component of prediction formulas for pulmonary function. A more recently stated alternate view is that socioeconomic status is the primary correlate of these differences; in other words, these differences are acquired, not inherent. Adopting this view, in 2023 the American Thoracic Society and European Respiratory Society recommended that all individuals, regardless of ancestry, should have spirometry assessed using a single set of "race-neutral" prediction values produced by weighted averaging of previously defined ancestral groups. We re-review the literature and couple it with anthropological data to support the conclusion that ancestral differences are primarily inherent and thus should be included in volume prediction equations for healthy individuals. In support of this, we document not only physiological evidence, but also discuss the role of human thoracic morphology in the light of ecogeographic variation that has arisen due to our diverse evolutionary histories.

Indexed as

AnthropometryLungLung Volume MeasurementsFemaleHumansMaleRacial GroupsSocioeconomic FactorsSpirometry

Identifiers

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Registered trials

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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.