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A meta-analysis of the relation between cumulative exposure to asbestos and relative risk of lung cancer.
Abstract
OBJECTIVES: To obtain summary measures of the relation between cumulative exposure to asbestos and relative risk of lung cancer from published studies of exposed cohorts, and to explore the sources of heterogeneity in the dose-response coefficient with data available in these publications. METHODS: 15 cohorts in which the dose-response relation between cumulative exposure to asbestos and relative risk of lung cancer has been reported were identified. Linear dose-response models were applied, with intercepts either specific to the cohort or constrained by a random effects model; and with slopes specific to the cohort, constrained to be identical between cohorts (fixed effect), or constrained by a random effects model. Maximum likelihood techniques were used for the fitting procedures and to investigate sources of heterogeneity in the cohort specific dose-response relations. RESULTS: Estimates of the study specific dose-response coefficient (kappa 1.i) ranged from zero to 42 x 10(-3) ml/fibre-year (ml/f-y). Under the fixed effect model, a maximum likelihood estimate of the summary measure of the coefficient (k1) equal to 0.42 x 10(-3) (95% confidence interval (95% CI) 0.22 to 0.69 x 10(-3)) ml/f-y was obtained. Under the random effects model, implemented because there was substantial heterogeneity in the estimates of kappa 1.i and the zero dose intercepts (Ai), a maximum likelihood estimate of k1 equal to 2.6 x 10(-3) (95% CI 0.65 to 7.4 x 10(-3)) ml/f-y, and a maximum likelihood estimate of A equal to 1.36 (95% CI 1.05 to 1.76) were found. Industry category, dose measurements, tobacco habits, and standardisation procedures were identified as sources of heterogeneity. CONCLUSIONS: The appropriate summary measure of the relation between cumulative exposure to asbestos and relative risk of lung cancer depends on the context in which the measure will be applied and the prior beliefs of those applying the measure. In most situations, the summary measure of effect obtained under the random effects model is recommended. Under this model, potency, k1, is fourfold lower than that calculated by the United States Occupational Safety and Health Administration.
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“None of the selected reviews scored low in the assessment of their methodological quality; some of them obtained intermediate quality scores (4 ≥ P ≤ 5) [22–27,30] and 50% of the reviews obtained middle25,26 or high quality scores (P ≥ 8),28,29,31 supporting a reasonably good quality of the included studies.”
From Fiber burden and asbestos-related diseases: an umbrella review (2022) · cites this paper as [22]
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“In general, we observed that the effect of chrysotile on lung cancer is characterized by being weaker than the effect of amphibole fibers or mixed fibers.22–29”
From Fiber burden and asbestos-related diseases: an umbrella review (2022) · cites this paper as [22]
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Research works printed but not linked: 28
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Fiber burden and asbestos-related diseases: an umbrella review
Ramada Rodilla, J. M., Calvo Cerrada, B., Serra Pujadas, C., Delclos, G. L., & Benavides, F. G. (2022) · Gaceta Sanitaria · doi:10.1016/j.gaceta.2021.04.001 · Cited by 46
Metadata
- Authors
- Lash, T. L., Crouch, E. A., & Green, L. C.
- Venue
- Occupational and Environmental Medicine
- Publisher
- BMJ
- Published
- 1997-04
- Volume
- 54
- Issue
- 4
- Pages
- 254-263
- ISSN
- 1351-0711
- 1470-7926
- Cited by
- 34
- References
- 0
- Language
- en
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