Evidence map›Paper›PMID 37733799›Full record

ArticlePLOS global public health2023

Silicosis, tuberculosis and silica exposure among artisanal and small-scale miners: A systematic review and modelling paper.

Patrick Howlett, Hader Mousa, Bibie Said, Alexander Mbuya, Onn Min Kon, Stellah Mpagama, Johanna Feary

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06403800 (Silicosis and Silicotuberculosis Among Small Scale Gemstone Miners in Northern Tanzania), which is not on this map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
3.6field-weighted citation impact, top 6% 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.

NCT06403800 unknown statusnot on this mapstarted 2024, after this paper: background citation

Silicosis and Silicotuberculosis Among Small Scale Gemstone Miners in Northern Tanzania: SilicoTB

TypeobservationalSponsorNational Heart and Lung InstituteRan2024 to 2025Enrolled1,400ConditionsSilicosis, Tuberculosis, Silicosis, With TuberculosisArmsNo intervention
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Silicosis in Zambian ex-copper miners: A cross-sectional study.African journal of thoracic and critical care medicine · 2025
    Article
  16. Silicotuberculosis: a critical narrative review.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
  17. Observational
  18. Article
  19. 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 2 countries.

Patrick HowlettNational Heart & Lung Institute, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-2381-7067
Hader MousaCentre for Occupational and Environmental Health, Kigali, Rwanda.
Bibie SaidKibong'oto Infectious Disease Hospital, Kilimanjaro, Tanzania.
Alexander MbuyaKibong'oto Infectious Disease Hospital, Kilimanjaro, Tanzania.
Onn Min KonNational Heart & Lung Institute, Imperial College London, London, United Kingdom.
Stellah MpagamaKibong'oto Infectious Disease Hospital, Kilimanjaro, Tanzania.
Johanna FearyNational Heart & Lung Institute, Imperial College London, London, United Kingdom.
Imperial College London · GBKilimanjaro Christian Medical Centre · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An estimated 44 million artisanal and small-scale miners (ASM), largely based in developing economies, face significant occupational risks for respiratory diseases which have not been reviewed. We therefore aimed to review studies that describe silicosis and tuberculosis prevalence and respirable crystalline silica (RCS) exposures among ASM and use background evidence to better understand the relationship between exposures and disease outcomes. We searched PubMed, Web of Science, Scopus and Embase for studies published before the 24th March 2023. Our primary outcome of interest was silicosis or tuberculosis among ASM. Secondary outcomes included measurements of respirable dust or silica, spirometry and prevalence of respiratory symptoms. A systematic review and narrative synthesis was performed and risk of bias assessed using the Joanna Briggs Prevalence Critical Appraisal Tool. Logistic and Poisson regression models with predefined parameters were used to estimate silicosis prevalence and tuberculosis incidence at different distributions of cumulative silica exposure. We identified 18 eligible studies that included 29,562 miners from 13 distinct populations in 10 countries. Silicosis prevalence ranged from 11 to 37%, despite four of five studies reporting an average median duration of mining of <6 years. Tuberculosis prevalence was high; microbiologically confirmed disease ranged from 1.8 to 6.1% and clinical disease 3.0 to 17%. Average RCS intensity was very high (range 0.19-89.5 mg/m3) and respiratory symptoms were common. Our modelling demonstrated decreases in cumulative RCS are associated with reductions in silicosis and tuberculosis, with greater reductions at higher mean exposures. Despite potential selection and measurement bias, prevalence of silicosis and tuberculosis were high in the studies identified in this review. Our modelling demonstrated the greatest respiratory health benefits of reducing RCS are in those with highest exposures. ASM face a high occupational respiratory disease burden which can be reduced by low-cost and effective reductions in RCS.

Identifiers

PMID37733799
PMCPMC10513209
OpenAlexW4386917275

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.