Evidence map›Paper›PMID 37507005›Full record

ArticleChest2023

Race-Specific Spirometry Equations Do Not Improve Models of Dyspnea and Quantitative Chest CT Phenotypes.

Amy L Non, Barbara Bailey, Surya P Bhatt, Richard Casaburi, Elizabeth A Regan, Angela Wang, Alfonso Limon, Chantal Rabay, Alejandro A Diaz, Arianne K Baldomero and 5 more

Abstract read
In one paragraph

Article in Chest, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Implications of Race Adjustment in Lung-Function Equations.The New England journal of medicine · 2024
    Article
  9. Race Adjustment of Pulmonary Function Tests in the Diagnosis and Management of COPD: A Scoping Review.International journal of chronic obstructive pulmonary disease · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Amy L NonDepartment of Anthropology, University of California San Diego, La Jolla, CA.
Barbara BaileyDepartment of Mathematics and Statistics, San Diego State University, San Diego, CA.
Surya P BhattDivision of Pulmonary, Allergy, and Critical Care Medicine, University of Alabama at Birmingham, Birmingham, AL.
Richard CasaburiRehabilitation Clinical Trials Center, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA.
Elizabeth A ReganDivision of Rheumatology and Department of Medicine, National Jewish Health, Denver, CO.
Angela WangDepartment of Medicine, University of California San Diego, La Jolla, CA.
Alfonso LimonOneirix Labs, Carlsbad, CA.
Chantal RabayDepartment of Anthropology, University of California San Diego, La Jolla, CA.
Alejandro A DiazDivision of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Arianne K BaldomeroPulmonary, Allergy, Critical Care and Sleep Medicine Section, Minneapolis VA Health Care System, Minneapolis, MN.
Greg KinneyDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO.
Kendra A YoungDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO.
Ben FeltsDepartment of Mathematics and Statistics, San Diego State University, San Diego, CA.
Carol HandAdvanced Mathematical Computing, San Diego, CA.
Douglas J ConradDepartment of Medicine, University of California San Diego, La Jolla, CA. Electronic address: dconrad@health.ucsd.edu.

Funding

Metabolomic signatures of empysema and COPD progression in the COPDGene cohortR01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2012 to 2016
$31.1M
(2 of 2) Genetic Epidemiology of COPDR01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2012 to 2016
$18.9M
Clinical Implications, Genomics, and Transcriptions of Mucus Plugging in SmokersR01HL149861 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI CHO, MICHAEL H., DIAZ, ALEJANDRO · 2020 to 2023
$3.2M
Understanding airway mucus dysfunction in population-based studiesR01HL164824 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI DIAZ, ALEJANDRO · 2022 to 2025
$2.7M
NHLBI NIH HHS R01 HL089856NHLBI NIH HHS R01 HL089897NHLBI NIH HHS R01 HL149861NHLBI NIH HHS R01 HL164824
6 · The paper itself

Abstract

backgroundRace-specific spirometry reference equations are used globally to interpret lung function for clinical, research, and occupational purposes, but inclusion of race is under scrutiny. RESEARCH QUESTION: Does including self-identified race in spirometry reference equation formation improve the ability of predicted FEV STUDY DESIGN AND

methodsUsing data from healthy adults who have never smoked in both the National Health and Nutrition Survey (2007-2012) and COPDGene study cohorts, race-neutral, race-free, and race-specific prediction equations were generated for FEV

resultsRace-specific equations showed no advantage relative to race-neutral or race-free equations in models of quantitative chest CT phenotypes or dyspnea. Race-neutral reference equations reclassified up to 19% of Black participants into more severe GOLD classes, while race-neutral/race-free equations may improve model fit for dyspnea symptoms relative to race-specific equations.

interpretationRace-specific equations offered no advantage over race-neutral/race-free equations in three distinct explanatory models of dyspnea and chest CT scan abnormalities. Race-neutral/race-free reference equations may improve pulmonary disease diagnoses and treatment in populations highly vulnerable to lung disease.

Indexed as

Lung DiseasesPulmonary Disease, Chronic ObstructiveAdultCross-Sectional StudiesDyspneaForced Expiratory VolumeHumansLungReference ValuesSmokingSpirometryTomography, X-Ray ComputedVital Capacityethnicitypulmonary function testracereference equationsspirometry

Identifiers

PMID37507005
PMCPMC10925545

What OpenQuestion holds

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LicenceCC BY
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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.