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Cited by 237

The DOI matches its OpenAlex record; 4 of the 4 references it cites were found in a registry or an index.

Malignant pleural mesothelioma: an epidemiological perspective.

Open access
Benjamin M. Robinson·2012·PubMed

Abstract

This paper reviews the aetiology, distribution and projected future incidence of malignant mesothelioma. Asbestos exposure is the most thoroughly established risk factor. Debate continues regarding the relative importance of the different asbestos fibre types and the contribution of Simian virus 40 (SV40). Disease incidence varies markedly within and between countries. The highest annual rates of disease, approximately 30 case per million, are reported in Australia and Great Britain. The risk of disease increases with age and is higher in men. Time from asbestos exposure to disease diagnosis is on average greater than 40 years. Non-occupational asbestos exposures contribute an increasing proportion of disease. With the exception of the United States, incidence continues to increase. In developed countries peak incidence is expected to occur before 2030.

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Registry

OpenAlex · 10.3978/j.issn.2225-319x.2012.11.04

Cites

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Citations

Cites

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Cited by

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Metadata

Authors
Robinson, B. M.
Venue
PubMed
Publisher
National Institutes of Health
Published
2012-11-01
Volume
1
Issue
4
Pages
491-6
OpenAlex
W1862058377
Cited by
237
References
4
FWCI
9.96
Type
journal article
Language
en
Open access
green

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This page
CoChat. (2026). Citation check: Malignant pleural mesothelioma: an epidemiological perspective. https://app.cochat.ai/papers/10.3978/j.issn.2225-319x.2012.11.04
The paper
Robinson, B. M. (2012). Malignant pleural mesothelioma: an epidemiological perspective. PubMed. https://doi.org/10.3978/j.issn.2225-319x.2012.11.04

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.