Evidence map›Paper›PMID 32487111›Full record

ArticleBMC public health2020

Predictors of silicosis and variation in prevalence across mines among employed gold miners in South Africa.

Dave Knight, Rodney Ehrlich, Annibale Cois, Katherine Fielding, Alison D Grant, Gavin Churchyard

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Epidemiology of silicosis reported to the central register of occupational diseases over last 20 years in Poland.International journal of occupational medicine and environmental health · 2022
    Article
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  13. Review
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  16. Are Silicosis Patients at Risk of Developing COVID-19?Indian journal of occupational and environmental medicine
    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

6 authors at 4 institutions in 3 countries.

Dave KnightInternational SOS, Singapore, Singapore. dave.knight@internationalsos.com.ORCID http://orcid.org/0000-0003-2599-5481
Rodney EhrlichCentre for Environmental and Occupational Health Research, School of Public Health and Family Medicine, University of Cape Town, PO Box 43915, Scarborough, Cape Town, 7975, South Africa.
Annibale CoisBurden of Disease Research Unit, South African Medical Research Council, Parow Valley, South Africa.
Katherine FieldingSchool of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Alison D GrantSchool of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Gavin ChurchyardSchool of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
University of the Witwatersrand · ZAInternational Centre for Genetic Engineering and Biotechnology · ZASouth African Medical Research Council · ZAUniversity of Cape Town · ZA

Funding

Bill and Melinda Gates Foundation 12345Medical Research Council MR/R010161/1
6 · The paper itself

Abstract

backgroundThe stated intention to eliminate silicosis from the South African goldmining industry as well as current programmes to find and compensate ex-miners with silicosis require an understanding of variation in silicosis prevalence across the industry. We aimed to identify the predictors of radiological silicosis in a large sample of working miners across gold mines in South Africa.

methodsRoutine surveillance chest radiographs were collected from 15 goldmine "clusters" in a baseline survey undertaken in preparation for a separate tuberculosis isoniazid prophylaxis trial. All images were read for silicosis by a health professional experienced in using the International Labour Organisation (ILO) classification. Profusion thresholds of > 1/0 and > 1/1 were used. Demographic and occupational information was obtained by questionnaire. Predictors of silicosis were examined in a multivariable logistic regression model, including age, gender, racial ascription, country of origin, years since starting mine employment, mine shaft, skill category, underground work status and tuberculosis.

resultsThe crude silicosis prevalence at ILO > 1/1 was 3.8% [95% confidence interval (CI) 3.5-4.1%]. The range across mine shafts was 0.8-6.9%. After adjustment for covariates, the interquartile range across shafts was reduced from 2.4 to 1.2%. Black miners [adjusted odds ratio (aOR) 2.8; 95% CI 1.1-7.2] and miners in full-time underground work (aOR 2.1; 95% CI 1.3-3.4) had substantially elevated odds of silicosis, while workers from Mozambique had lower odds (aOR 0.54; 95% CI 0.38-0.77). Silicosis odds rose sharply with both age and years since starting in the industry (p for linear trend < 0.005), with 95.5% of affected miners having > 15 years since first exposure and 2.2% < 10 years.

conclusionsIn surveillance of silicosis in working gold miners time since first exposure remains a powerful predictor. Age appears to be an independent predictor, while the detection of radiological silicosis in short-service miners requires attention. Public risk reporting by mines should include factors bearing on silicosis prevalence, specifically dust concentrations, with independent verification. Studies of silicosis and tuberculosis in ex-miners are needed, supported by an accessible electronic database of the relevant medical and dust exposure records of all gold miners.

Indexed as

GoldAdultBlack PeopleFemaleHumansMaleMiddle AgedMinersMiningOccupational DiseasesOdds RatioPrevalenceSilicosisSocioeconomic FactorsSouth AfricaGoldGold miningSilicosisSouth AfricaTuberculosis

Identifiers

PMID32487111
PMCPMC7268682
OpenAlexW3029644363

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.