Evidence map›Paper›PMID 37270802›Full record

ArticleArchives of pathology & laboratory medicine2024

Characterizing Lung Particulates Using Quantitative Microscopy in Coal Miners With Severe Pneumoconiosis.

Jeremy T Hua, Carlyne D Cool, Heather A Lowers, Leonard H T Go, Lauren M Zell-Baran, Emily A Sarver, Kirsten S Almberg, Kathy D Pang, Susan M Majka, Angela D Franko and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Archives of pathology & laboratory medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 10 institutions in 5 countries.

Jeremy T HuaFrom the Divisions of Environmental and Occupational Health Sciences (Hua, Zell-Baran, Pang, Rose).
Carlyne D CoolPathology (Cool).
Heather A Lowersthe Geology, Geophysics, and Geochemistry Science Center, US Geological Survey, Denver, Colorado (Lowers).
Leonard H T Gothe Environmental and Occupational Health Sciences Division, University of Illinois Chicago School of Public Health, Chicago (Go, Almberg, Cohen).
Lauren M Zell-BaranFrom the Divisions of Environmental and Occupational Health Sciences (Hua, Zell-Baran, Pang, Rose).
Emily A Sarverthe Department of Mining and Minerals Engineering, Virginia Tech, Blacksburg (Sarver).
Kirsten S Almbergthe Environmental and Occupational Health Sciences Division, University of Illinois Chicago School of Public Health, Chicago (Go, Almberg, Cohen).
Kathy D PangFrom the Divisions of Environmental and Occupational Health Sciences (Hua, Zell-Baran, Pang, Rose).
Susan M MajkaPulmonary, Critical Care, and Sleep Medicine (Majka).
Angela D Frankothe Department of Pathology and Laboratory Medicine, University of Calgary, Calgary, Alberta, Canada (Franko).
Naseema I Vorajeethe Department of Histopathology, Lancet Laboratories, Johannesburg, South Africa (Vorajee).
Robert A Cohenthe Environmental and Occupational Health Sciences Division, University of Illinois Chicago School of Public Health, Chicago (Go, Almberg, Cohen).
Cecile S RoseFrom the Divisions of Environmental and Occupational Health Sciences (Hua, Zell-Baran, Pang, Rose).
Japan Organization of Occupational Health and Safety · JPUniversity of Colorado Denver · USUniversity of Illinois Chicago · USChicago Department of Public Health · USDenver Federal Center · USLancet Laboratories · ZANational Public Health Laboratory · NPPulmonary and Critical Care Associates · USUniversity of Calgary · CAVirginia Tech · US

Funding

MULTIDISCIPLINARY RESPIRATORY DISEASES RESEARCH TRAININGT32HL007085 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI ELLEN L BURNHAM, LISA A MAIER · 1985 to 2026
$21.6M
Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
Mesenchymal Vascular Progenitor Depletion Promotes Lung Aging and Susceptibility to EmphysemaR35HL161238 · NHLBI · NATIONAL JEWISH HEALTH · PI SUSAN M MAJKA · 2022 to 2026
$4.9M
Role of Lung MSC in EmphysemaR01HL116597 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MAJKA, SUSAN M · 2013 to 2021
$4.4M
NHLBI NIH HHS R01 HL116597NHLBI NIH HHS R35 HL161238NHLBI NIH HHS T32 HL007085NIEHS NIH HHS P30 ES027792NIOSH CDC HHS T42 OH009229
6 · The paper itself

Abstract

CONTEXT.—: Current approaches for characterizing retained lung dust using pathologists' qualitative assessment or scanning electron microscopy with energy-dispersive spectroscopy (SEM/EDS) have limitations. OBJECTIVE.—: To explore polarized light microscopy coupled with image-processing software, termed quantitative microscopy-particulate matter (QM-PM), as a tool to characterize in situ dust in lung tissue of US coal miners with progressive massive fibrosis. DESIGN.—: We developed a standardized protocol using microscopy images to characterize the in situ burden of birefringent crystalline silica/silicate particles (mineral density) and carbonaceous particles (pigment fraction). Mineral density and pigment fraction were compared with pathologists' qualitative assessments and SEM/EDS analyses. Particle features were compared between historical (born before 1930) and contemporary coal miners, who likely had different exposures following changes in mining technology. RESULTS.—: Lung tissue samples from 85 coal miners (62 historical and 23 contemporary) and 10 healthy controls were analyzed using QM-PM. Mineral density and pigment fraction measurements with QM-PM were comparable to consensus pathologists' scoring and SEM/EDS analyses. Contemporary miners had greater mineral density than historical miners (186 456 versus 63 727/mm3; P = .02) and controls (4542/mm3), consistent with higher amounts of silica/silicate dust. Contemporary and historical miners had similar particle sizes (median area, 1.00 versus 1.14 μm2; P = .46) and birefringence under polarized light (median grayscale brightness: 80.9 versus 87.6; P = .29). CONCLUSIONS.—: QM-PM reliably characterizes in situ silica/silicate and carbonaceous particles in a reproducible, automated, accessible, and time/cost/labor-efficient manner, and shows promise as a tool for understanding occupational lung pathology and targeting exposure controls.

Indexed as

Coal MiningOccupational ExposurePneumoconiosisCoalDustHumansLungMicroscopy, Electron, ScanningSilicatesSilicon DioxideCoalDustSilicatesSilicon Dioxide

Identifiers

PMID37270802
PMCPMC11542675
OpenAlexW4379365459

What OpenQuestion holds

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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.