Evidence map›Paper›PMID 35477425›Full record

ArticleBMC pulmonary medicine2022

Quantitative imaging analysis detects subtle airway abnormalities in symptomatic military deployers.

Lauren M Zell-Baran, Stephen M Humphries, Camille M Moore, David A Lynch, Jean-Paul Charbonnier, Andrea S Oh, Cecile S Rose

Open access · goldAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 17% of its field
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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Deployment-Related Respiratory Disease: Where Are We?Seminars in respiratory and critical care medicine · 2023
    Review
  7. Article
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

7 authors at 2 institutions in 1 country.

Lauren M Zell-BaranDivision of Environmental and Occupational Health Sciences, National Jewish Health, Denver, CO, USA. zellbaranl@njhealth.org.
Stephen M HumphriesDepartment of Radiology, National Jewish Health, Denver, CO, USA.
Camille M MooreCenter for Genes, Environment and Health, National Jewish Health, Denver, CO, USA.
David A LynchDepartment of Radiology, National Jewish Health, Denver, CO, USA.
Jean-Paul CharbonnierThirona, Nijmegen, Netherlands.
Andrea S OhDepartment of Radiology, National Jewish Health, Denver, CO, USA.
Cecile S RoseDivision of Environmental and Occupational Health Sciences, National Jewish Health, Denver, CO, USA.
National Jewish Health · USUniversity of Colorado Anschutz Medical Campus · US

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
COPD Foundation Industry Advisory Committee comprised of AstraZeneca, Boehringer-Ingelheim, GlaxoSmithKline, Novartis, and SunovionNational Jewish Health Sergeant Sullivan FundNHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897NHLBI NIH HHS U01 HL089897 and U01 HL089856Office of the Assistant Secretary of Defense for Health Affairs W81XWH-16-2-0018
6 · The paper itself

Abstract

backgroundExposure to inhalational hazards during post-9/11 deployment to Southwest Asia and Afghanistan puts military personnel at risk for respiratory symptoms and disease. Pulmonary function and qualitative chest high resolution computed tomography (HRCT) are often normal in "deployers" with persistent respiratory symptoms. We explored the utility of quantitative HRCT imaging markers of large and small airways abnormalities, including airway wall thickness, emphysema, and air trapping, in symptomatic deployers with clinically-confirmed lung disease compared to controls.

methodsChest HRCT images from 45 healthy controls and 82 symptomatic deployers with asthma, distal lung disease or both were analyzed using Thirona Lung quantification software to calculate airway wall thickness (by Pi10), emphysema (by percentage of lung volume with attenuation < -950 Hounsfield units [LAA%-950]), and three parameters of air trapping (expiratory/inspiratory total lung volume and mean lung density ratios, and LAA%-856). SAS v.9.4 was used to compare demographic and clinical characteristics between deployers and controls using Chi-Square, Fisher Exact or t-tests. Linear regression was used to assess relationships between pulmonary function and quantitative imaging findings.

resultsGender and smoking status were not statistically significantly different between groups, but deployers were significantly younger than controls (42 vs 58 years, p < 0.0001), had higher body mass index (31 vs 28 kg/m

conclusionsQuantitative chest HRCT imaging analysis identifies emphysema in deployers with asthma and distal lung disease, and may be useful in detecting and monitoring deployment-related lung disease in a population where spirometry is typically normal.

Indexed as

AsthmaEmphysemaLung DiseasesMilitary PersonnelPulmonary EmphysemaHumansAir trappingBronchial wall thickeningEmphysemaHRCTMilitary deploymentQuantitative image analysis

Identifiers

PMID35477425
PMCPMC9047334
OpenAlexW4225105064

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.