Evidence map›Paper›PMID 29890962›Full record

SynthesisBMC public health2018

Mortality and morbidity in populations in the vicinity of coal mining: a systematic review.

Javier Cortes-Ramirez, Suchithra Naish, Peter D Sly, Paul Jagals

Abstract readSystematic Review
In one paragraph

Synthesis in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 7 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

27 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. The public health impacts of mining in Australia.The Medical journal of Australia · 2025
    Pooled it
  2. Pooled it
  3. Pooled it
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  5. Long-Term Safety of Prenatal and Neonatal Exposure to Paracetamol: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  6. Pooled it
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  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Gestational and Neonatal Outcomes in Cities in the Largest Coal Mining Region in Brazil.International journal of environmental research and public health · 2022
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Mapping the Morbidity Risk Associated with Coal Mining in Queensland, Australia.International journal of environmental research and public health · 2022
    Article
  19. Article
  20. Climate Change and Mental Health: A Scoping Review.International journal of environmental research and public health · 2021
    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

4 authors.

Javier Cortes-RamirezChild Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia. j.cortesramirez@uq.edu.au.ORCID 0000-0002-5876-165X
Suchithra NaishSchool of Public Health and Social Work, Faculty of Health, Queensland University of Technology, Brisbane, QLD, Australia.
Peter D SlyChild Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.
Paul JagalsChild Health Research Centre, Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEvidence of the association of coal mining with health outcomes such as increased mortality and morbidity in the general population has been provided by epidemiological studies in the last 25 years. Given the diverse sources of data included to investigate different health outcomes in the exposed populations, the International Classification of Diseases (ICD) can be used as a single classification standard to compare the findings of studies conducted in different socioeconomic and geographic contexts. The ICD classifies diagnoses of diseases and other disorders as codes organized by categories and chapters.

objectivesIdentify the ICD codes found in studies of morbidity and/or mortality in populations resident or in proximity of coal mining and assess the methods of these studies conducting a systematic review.

methodsA systematic database search of PubMed, EMBASE and Scopus following the PRISMA protocol was conducted to assess epidemiological studies from 1990 to 2016. The health outcomes were mapped to ICD codes and classified by studies of morbidity and/or mortality, and the categories and chapters of the ICD.

resultsTwenty-eight epidemiological studies with ecological design from the USA, Europe and China were included. The exposed populations had increased risk of mortality and/or morbidity by 78 ICD diagnosis categories and 9 groups of ICD categories in 10 chapters of the ICD: Neoplasms, diseases of the circulatory, respiratory and genitourinary systems, metabolic diseases, diseases of the eye and the skin, perinatal conditions, congenital and chromosomal abnormalities, and external causes of morbidity. Exposed populations had non-increased risk of 9 ICD diagnosis categories of diseases of the genitourinary system, and prostate cancer.

conclusionsThere is consistent evidence of the association of coal mining with a wide spectrum of diseases in populations resident or in proximity of the mining activities. The methods of the studies included in this review can be integrated with individual-level and longitudinal studies to provide further evidence of the exposure pathways linked to increased risk in the exposed populations.

Indexed as

Coal MiningMorbidityMortalityChinaEnvironmental ExposureEuropeHumansInternational Classification of DiseasesRisk AssessmentUnited StatesCoal miningEcological studiesEnvironmental healthGeneral populationInternational classification of diseasesMorbidityMortalitySystematic review

Identifiers

PMID29890962
PMCPMC5996462

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.