Alternative for estimating the burden of lung cancer from occupational exposures - some calculations based on data from Swedish men

Axelson, Olav

doi:10.5271/sjweh.647

Cited by 19 publications

(7 citation statements)

References 22 publications

(27 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is compatible with other estimates that attribute 5-25% of lung cancer mortality to the effects of all occupational carcinogenic exposures combined, coupled with estimates that 10-20% of occupational lung cancers are due asbestos exposure (which would attribute 1-5% of total lung cancer to asbestos). (45)(46)(47)(48)(49)(50) It is also compatible with the year 2000 population attributable lung cancer plus mesothelioma risk for asbestos of 5% calculated for Denmark, Finland, Iceland, Norway, and Sweden. (48) Though there is no definitive statement of the fraction of lung cancer mortality from asbestos exposure, several methods of estimating this seem to converge on a range of 1-5%.…”

Section: A Priori Attribution Of Lung Cancer By Causesupporting

confidence: 72%

Bounding Poorly Characterized Risks: A Lung Cancer Example

Ha‐Duong¹,

Casman²,

Morgan³

2004

Risk Analysis

View full text Add to dashboard Cite

For diseases with more than one risk factor, the sum of probabilistic estimates of the number of cases caused by each individual factor may exceed the total number of cases observed, especially when uncertainties about exposure and dose response for some risk factors are high. In this study, we outline a method of bounding the fraction of lung cancer fatalities not due to specific well-studied causes. Such information serves as a "reality check" for estimates of the impacts of the minor risk factors, and, as such, complements the traditional risk analysis. With lung cancer as our example, we allocate portions of the observed lung cancer mortality to known causes (such as smoking, residential radon, and asbestos fibers) and describe the uncertainty surrounding those estimates. The interactions among the risk factors are also quantified, to the extent possible. We then infer an upper bound on the residual mortality due to "other" causes, using a consistency constraint on the total number of deaths, the maximum uncertainty principle, and the mathematics originally developed of imprecise probabilities.

show abstract

Section: A Priori Attribution Of Lung Cancer By Causesupporting

confidence: 72%

Bounding Poorly Characterized Risks: A Lung Cancer Example

Ha‐Duong¹,

Casman²,

Morgan³

2004

Risk Analysis

View full text Add to dashboard Cite

show abstract

“…His method did not rely on identifying carcinogens, but assumed that any cancers not caused by smoking were caused by occupation. 9 Using this method, he calculated that 24% of lung cancers in economically active men were caused by occupational exposures. This is probably an overestimate as there may be other differences between occupational groups such as diet or alcohol consumption.…”

Section: International Estimates Of Occupational Cancermentioning

confidence: 99%

Cancer due to occupation in Australia

Fritschi

Driscoll

2006

Australian and New Zealand Journal of Public Health

View full text Add to dashboard Cite

show abstract

“…Data on the frequency of exposure is scarcer; in France, for instance, such data are routinely collected by social security agencies, but they are seldom published. Register data can be an alternative for use in estimating the impact of occupational exposures on cancer in a population (34,35). Occupation and industry classifications in general population studies could also be used to study risk by job or to infer exposure to specific agents through job-exposure matrices (36).…”

Section: Discussionmentioning

confidence: 99%