Evidence map›Paper›PMID 40586531›Full record

ArticleATS scholar2025

How I Teach Racial Categorization in Reference Equations Used to Interpret Spirometry.

Aaron D Baugh, Nirav R Bhakta, Rosemary Adamson

Abstract read
In one paragraph

Article in ATS scholar, 2025. 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Aaron D BaughDivision of Pulmonary, Critical Care and Sleep Medicine, University of California, San Francisco, San Francisco, California.ORCID 0000-0002-9527-691X
Nirav R BhaktaDivision of Pulmonary, Critical Care and Sleep Medicine, University of California, San Francisco, San Francisco, California.ORCID 0000-0002-2135-7012
Rosemary AdamsonPulmonary, Critical Care and Sleep Medicine Section, Puget Sound Veterans Affairs Healthcare System, Seattle, Washington; and.ORCID 0000-0001-6174-4466

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Race has been used in medical algorithms, including reference equations for spirometry, following the assumption that race is a biological concept due to the finding that Black American and Asian populations have lower lung function (i.e., forced expiratory volume in 1 second and forced vital capacity) than White populations. Recognizing that race is a social construct and its use in medical algorithms may contribute to health disparities, this practice has been questioned. This inquiry, combined with recent evidence, led the American Thoracic Society to recommend using race-neutral reference equations for spirometry in 2023. In this article, we share our approach to teaching spirometry interpretation, focusing on the factors that determine lung function and the effects of using race-based or race-neutral reference equations. We explicitly define race as a social construct and review the likely reasons for the differences in lung function found between racial groups. We use an interactive and case-based approach to facilitate learning. As part of our interactive approach, we incorporate strategies to enhance psychological safety for the learners. This is particularly important for this topic because discussions of race and health inequities can be contentious and uncomfortable and have the potential to exacerbate the difficulties faced by learners from groups that are underrepresented in medicine. Our approach is intended for a small group of graduate medical learners and could be presented during formal didactic instruction or informally during clinical teaching.

Indexed as

Racial GroupsSpirometryAlgorithmsBlack or African AmericanHumansReference ValuesWhiteethnicitypulmonary function testrace

Identifiers

PMID40586531
PMCPMC12219795

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.