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A Meta-analysis of Asbestos and Lung Cancer: Is Better Quality Exposure Assessment Associated with Steeper Slopes of the Exposure–Response Relationships?
Background: Asbestos is a well-recognized cause of lung cancer, but there is considerable between-study heterogeneity in the slope of the exposure–response relationship. Objective: We considered the role of quality of the exposure assessment to potentially explain heterogeneity in exposure–response...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Institute of Environmental Health Sciences
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3226488/ https://www.ncbi.nlm.nih.gov/pubmed/21708512 http://dx.doi.org/10.1289/ehp.1002879 |
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author | Lenters, Virissa Vermeulen, Roel Dogger, Sies Stayner, Leslie Portengen, Lützen Burdorf, Alex Heederik, Dick |
author_facet | Lenters, Virissa Vermeulen, Roel Dogger, Sies Stayner, Leslie Portengen, Lützen Burdorf, Alex Heederik, Dick |
author_sort | Lenters, Virissa |
collection | PubMed |
description | Background: Asbestos is a well-recognized cause of lung cancer, but there is considerable between-study heterogeneity in the slope of the exposure–response relationship. Objective: We considered the role of quality of the exposure assessment to potentially explain heterogeneity in exposure–response slope estimates. Data sources: We searched PubMed MEDLINE (1950–2009) for studies with quantitative estimates of cumulative asbestos exposure and lung cancer mortality and identified 19 original epidemiological studies. One was a population-based case–control study, and the others were industry-based cohort studies. Data extraction: Cumulative exposure categories and corresponding risks were abstracted. Exposure–response slopes [K(L) (lung cancer potency factor of asbestos)] were calculated using linear relative risk regression models. Data synthesis: We assessed the quality of five exposure assessment aspects of each study and conducted random effects univariate and multivariate meta-regressions. Heterogeneity in exposure–response relationships was greater than expected by chance (I(2) = 64%). Stratification by exposure assessment characteristics revealed that studies with well-documented exposure assessment, larger contrast in exposure, greater coverage of the exposure history by exposure measurement data, and more complete job histories had higher meta-K(L) values than did studies without these characteristics. The latter two covariates were most strongly associated with the K(L) value. Meta-K(L) values increased when we incrementally restricted analyses to higher-quality studies. Conclusions: This meta-analysis indicates that studies with higher-quality asbestos exposure assessment yield higher meta-estimates of the lung cancer risk per unit of exposure. Potency differences for predominantly chrysotile versus amphibole asbestos-exposed cohorts become difficult to ascertain when meta-analyses are restricted to studies with fewer exposure assessment limitations. |
format | Online Article Text |
id | pubmed-3226488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | National Institute of Environmental Health Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-32264882012-01-04 A Meta-analysis of Asbestos and Lung Cancer: Is Better Quality Exposure Assessment Associated with Steeper Slopes of the Exposure–Response Relationships? Lenters, Virissa Vermeulen, Roel Dogger, Sies Stayner, Leslie Portengen, Lützen Burdorf, Alex Heederik, Dick Environ Health Perspect Review Background: Asbestos is a well-recognized cause of lung cancer, but there is considerable between-study heterogeneity in the slope of the exposure–response relationship. Objective: We considered the role of quality of the exposure assessment to potentially explain heterogeneity in exposure–response slope estimates. Data sources: We searched PubMed MEDLINE (1950–2009) for studies with quantitative estimates of cumulative asbestos exposure and lung cancer mortality and identified 19 original epidemiological studies. One was a population-based case–control study, and the others were industry-based cohort studies. Data extraction: Cumulative exposure categories and corresponding risks were abstracted. Exposure–response slopes [K(L) (lung cancer potency factor of asbestos)] were calculated using linear relative risk regression models. Data synthesis: We assessed the quality of five exposure assessment aspects of each study and conducted random effects univariate and multivariate meta-regressions. Heterogeneity in exposure–response relationships was greater than expected by chance (I(2) = 64%). Stratification by exposure assessment characteristics revealed that studies with well-documented exposure assessment, larger contrast in exposure, greater coverage of the exposure history by exposure measurement data, and more complete job histories had higher meta-K(L) values than did studies without these characteristics. The latter two covariates were most strongly associated with the K(L) value. Meta-K(L) values increased when we incrementally restricted analyses to higher-quality studies. Conclusions: This meta-analysis indicates that studies with higher-quality asbestos exposure assessment yield higher meta-estimates of the lung cancer risk per unit of exposure. Potency differences for predominantly chrysotile versus amphibole asbestos-exposed cohorts become difficult to ascertain when meta-analyses are restricted to studies with fewer exposure assessment limitations. National Institute of Environmental Health Sciences 2011-06-27 2011-11 /pmc/articles/PMC3226488/ /pubmed/21708512 http://dx.doi.org/10.1289/ehp.1002879 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, ?Reproduced with permission from Environmental Health Perspectives?); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Review Lenters, Virissa Vermeulen, Roel Dogger, Sies Stayner, Leslie Portengen, Lützen Burdorf, Alex Heederik, Dick A Meta-analysis of Asbestos and Lung Cancer: Is Better Quality Exposure Assessment Associated with Steeper Slopes of the Exposure–Response Relationships? |
title | A Meta-analysis of Asbestos and Lung Cancer: Is Better Quality Exposure Assessment Associated with Steeper Slopes of the Exposure–Response Relationships? |
title_full | A Meta-analysis of Asbestos and Lung Cancer: Is Better Quality Exposure Assessment Associated with Steeper Slopes of the Exposure–Response Relationships? |
title_fullStr | A Meta-analysis of Asbestos and Lung Cancer: Is Better Quality Exposure Assessment Associated with Steeper Slopes of the Exposure–Response Relationships? |
title_full_unstemmed | A Meta-analysis of Asbestos and Lung Cancer: Is Better Quality Exposure Assessment Associated with Steeper Slopes of the Exposure–Response Relationships? |
title_short | A Meta-analysis of Asbestos and Lung Cancer: Is Better Quality Exposure Assessment Associated with Steeper Slopes of the Exposure–Response Relationships? |
title_sort | meta-analysis of asbestos and lung cancer: is better quality exposure assessment associated with steeper slopes of the exposure–response relationships? |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3226488/ https://www.ncbi.nlm.nih.gov/pubmed/21708512 http://dx.doi.org/10.1289/ehp.1002879 |
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