Evidence map›Paper›PMID 38702427›Full record

ArticleInternational archives of occupational and environmental health2024

A study of inflammatory biomarkers in crystalline silica exposed rock drillers.

Dag G Ellingsen, Liv Ingunn Bjoner Sikkeland, May Britt Lund, Nils Petter Skaugset, Bente Ulvestad

Abstract read
In one paragraph

Article in International archives of occupational and environmental health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Dag G EllingsenNational Institute of Occupational Health, Pb 5330, Majorstuen, Oslo, N-0304, Norway. dag.ellingsen@stami.no.ORCID 0000-0002-7607-6701
Liv Ingunn Bjoner SikkelandFaculty of Medicine, University of Oslo, Oslo, Norway.
May Britt LundFaculty of Medicine, University of Oslo, Oslo, Norway.
Nils Petter SkaugsetNational Institute of Occupational Health, Pb 5330, Majorstuen, Oslo, N-0304, Norway.
Bente UlvestadNational Institute of Occupational Health, Pb 5330, Majorstuen, Oslo, N-0304, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCrystalline silica (CS) exposure can cause serious lung disease in humans, but mechanisms of pulmonary toxicity have not been completely elucidated.

aimsTo assess pro-inflammatory and anti-inflammatory biomarkers and biomarkers related to the development of chronic obstructive pulmonary disease and fibrosis in serum of rock drillers exposed to CS.

methodsRock drillers (N = 123) exposed to CS and non-specified particulate matter (PM) were compared to 48 referents without current or past exposure to PM in a cross-sectional study.

resultsThe rock drillers had been exposed to CS for 10.7 years on average. Geometric mean (GM) current exposure was estimated to 36 µg/m

conclusionExposure to CS may increase circulating MMP-12 concentrations in a dose-response related fashion. The results may also suggest a down-regulation of pro-inflammatory pathways.

Indexed as

BiomarkersC-Reactive ProteinMatrix Metalloproteinase 12Occupational ExposureSilicon DioxideAdultAir Pollutants, OccupationalCross-Sectional StudiesFemaleHumansInflammationInterleukin-6Interleukin-8MaleMiddle AgedParticulate MatterAir Pollutants, OccupationalBiomarkersC-Reactive ProteinInterleukin-6Interleukin-8Matrix Metalloproteinase 12MMP12 protein, humanParticulate MatterPentraxinsSerum Amyloid P-ComponentSilicon DioxideBiomarkersCrystalline silicaInflammationMatrix metalloproteinase 12

Identifiers

PMID38702427
PMCPMC11130035

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.