Evidence map›Paper›PMID 39107111›Full record

SynthesisThorax2024

Relationship between cumulative silica exposure and silicosis: a systematic review and dose-response meta-analysis.

Patrick Howlett, Jeffrey Gan, Maia Lesosky, Johanna Feary

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Thorax, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Patrick HowlettNational Heart and Lung Institute, Imperial College London, London, UK p.howlett@imperial.ac.uk.ORCID 0000-0003-2381-7067
Jeffrey GanNational Heart and Lung Institute, Imperial College London, London, UK.
Maia LesoskyNational Heart and Lung Institute, Imperial College London, London, UK.
Johanna FearyNational Heart and Lung Institute, Imperial College London, London, UK.ORCID 0000-0003-2903-6907

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSilicosis, a chronic respiratory disease caused by crystalline silica exposure, is a persistent global lung health issue. No systematic review of the relationship between cumulative respirable crystalline silica (RCS) exposure and silicosis exists. UK exposure limits are currently under review. We therefore performed a systematic review and dose-response meta-analysis of this relationship.

methodsWeb of Science, Medline and Embase were searched on 24 February 2023. Studies of radiographic, autopsy or death certificate silicosis, with an estimated average follow-up of over 20 years since first employment, were included. Cumulative silicosis risk methods were compared. The relative risks (RR) of silicosis at increasing cumulative exposures were calculated and used to estimate the absolute risk reduction (ARR).

resultsEight eligible studies, including 10 cohorts, contributed 8792 cases of silicosis among 65 977 participants. Substantial differences in cumulative risk estimates between methodologies exist. Using the same method, we observed higher cumulative silicosis risks among mining compared with non-mining cohorts. A reduction from 4 to 2 mg/m³-years in cumulative RCS exposure corresponded to substantial risk reductions among miners (RR 0.23 (95% CI 0.18 to 0.29, I

conclusionDespite significant heterogeneity, our findings support a reduction in permissible exposure limits from 0.1 mg/m

Indexed as

Occupational ExposureSilicon DioxideSilicosisHumansSilicon DioxideClinical EpidemiologyOccupational Lung Disease

Identifiers

PMID39107111
PMCPMC11503121

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.