Prediction of mesothelioma and lung cancer in a cohort of asbestos exposed workers

Gasparrini, A; Pizzo, AM; Gorini, G; Costantini, AS; Silvestri, S; Ciapini, C; Innocenti, A; Berry, G

HERO ID

709475

Reference Type

Journal Article

Year

2008

Language

English

PMID

18438715

HERO ID 709475
In Press No
Year 2008
Title Prediction of mesothelioma and lung cancer in a cohort of asbestos exposed workers
Authors Gasparrini, A; Pizzo, AM; Gorini, G; Costantini, AS; Silvestri, S; Ciapini, C; Innocenti, A; Berry, G
Journal European Journal of Epidemiology
Volume 23
Issue 8
Page Numbers 541-546
Abstract BACKGROUND:Several papers have reported state-wide projections of mesothelioma deaths, but few have computed these predictions in selected exposed groups. OBJECTIVE: To predict the future deaths attributable to asbestos in a cohort of railway rolling stock workers. METHODS: The future mortality of the 1,146 living workers has been computed in term of individual probability of dying for three different risks: baseline mortality, lung cancer excess, mesothelioma mortality. Lung cancer mortality attributable to asbestos was calculated assuming the excess risk as stable or with a decrease after a period of time since first exposure. Mesothelioma mortality was based on cumulative exposure and time since first exposure, with the inclusion of a term for clearance of asbestos fibres from the lung. RESULTS: The most likely range of the number of deaths attributable to asbestos in the period 2005-2050 was 15-30 for excess of lung cancer, and 23-35 for mesothelioma. CONCLUSION: This study provides predictions of asbestos-related mortality even in a selected cohort of exposed subjects, using previous knowledge about exposure-response relationship. The inclusion of individual information in the projection model helps reduce misclassification and improves the results. The method could be extended in other selected cohorts.
Doi 10.1007/s10654-008-9257-z
Pmid 18438715
Wosid WOS:000257581900005
Is Certified Translation No
Dupe Override No
Is Public Yes
Language Text English
Keyword Asbestos, Predictions; Mesothelioma; Lung Cancer
Is Qa No