Evidence map›Paper›PMID 41494907›Full record

Observational studyThorax2026

Disparities in lung function trajectories among tobacco-exposed individuals.

Benjamin Grobman, Amy L Non, Elizabeth Baker, Gabriela R Oates, Elizabeth A Regan, James L Crooks, Meredith C McCormack, Nadia N Hansel, Alejandro A Diaz, James C Ross

Abstract readObservational Study
In one paragraph

Observational study in Thorax, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

10 authors.

Benjamin GrobmanHarvard Medical School, Boston, Massachusetts, USA bgrobman@hms.harvard.edu.ORCID http://orcid.org/0000-0002-4416-6243
Amy L NonDepartment of Anthropology, University of California San Diego, La Jolla, California, USA.
Elizabeth BakerHeersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Gabriela R OatesHeersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Elizabeth A ReganDepartment of Medicine, National Jewish Health, Denver, Colorado, USA.ORCID http://orcid.org/0000-0003-0624-9184
James L CrooksNational Jewish Health, Denver, Colorado, USA.
Meredith C McCormackDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Nadia N HanselDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Alejandro A Diaz *Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA, Brigham and Women's Hospital, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0001-5037-2919
James C Ross *Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
GENETIC EPIDEMIOLOGY OF COPD (COPD GENE) TASK A: STUDY VISIT 4, COLLECTION OF COPDGENE STUDY DATA ANDBIOSPECIMENS AND OVERSIGHT OF THE COPDGENE STUDY75N92023D00011 · NHLBI · NATIONAL JEWISH HEALTH · PI NEWMAN, LEE S · 2023 to 2025
$29.6M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
Risk Stratification for COPD Exacerbations with CT Analysis and Multidimensional Trajectory SubtypingR01HL164380 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI James Ross · 2023 to 2026
$3.2M
NHLBI NIH HHS 75N92023D00011NHLBI NIH HHS R01 HL164380NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897
6 · The paper itself

Abstract

backgroundThe relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these relationships could inform preventive strategies for lung health.

methodsWe analysed data from COPDGene, a US longitudinal, observational study. Participants were tobacco-exposed (≥10 pack-years of smoking) non-Hispanic Black and non-Hispanic White adults aged 45-80 years. We analysed 2990 males and 2945 females, using Bayesian trajectory modelling on post-bronchodilator forced expiratory volume in one second (FEV MEASUREMENTS AND MAIN

resultsSix trajectories were identified within each sex. Non-Hispanic Black race was more prevalent in trajectories characterised by lower FEV1 and FVC values (ie, lower lung function trajectories) compared with non-Hispanic White adults. In adjusted models, non-Hispanic Black race, residence in the Southeastern USA, lifetime asthma and a father with COPD were associated with significantly higher odds of the lowest trajectory (ie, trajectory six vs the reference trajectory) for both sexes. Higher income and private insurance showed inverse associations with lower lung function trajectories. The Social Vulnerability Index socioeconomic theme (based on census-level poverty, unemployment, income and educational attainment) was associated with the lowest trajectory in males.

conclusionsSignificant disparities in lung function trajectories exist between non-Hispanic Black adults and non-Hispanic White adults. Individual- and community-level factors are associated with lower lung function trajectory in people exposed to tobacco.

Indexed as

Health Status DisparitiesLungPulmonary Disease, Chronic ObstructiveSmokingAgedAged, 80 and overBayes TheoremBlack or African AmericanFemaleForced Expiratory VolumeHumansLongitudinal StudiesMaleMiddle AgedSocial Determinants of HealthSocioeconomic Disparities in HealthPulmonary Disease, Chronic Obstructive

Identifiers

PMID41494907
PMCPMC13222061

What OpenQuestion holds

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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.