PURPOSE:
Existing
estimated lung cancer risks per unit of asbestos exposure are mainly based on,
and applicable to, high exposure levels. To assess the risk at low cumulative
asbestos exposure, we provide new evidence by fitting flexible meta-regression
models, a notably new and more robust method.
METHODS:
Studies
were selected if lung cancer risk per cumulative asbestos exposure in at least
two exposure categories was reported. From these studies (n = 19), we extracted
104 risk estimates over a cumulative exposure range of 0.11-4,710 f-y/ml. We
fitted linear and natural spline meta-regression models to these risk
estimates. A natural spline allows risks to vary nonlinearly with exposure,
such that estimates at low exposure are less affected by estimates in the upper
exposure categories. Associated relative risks (RRs) were calculated for
several low cumulative asbestos exposures.
RESULTS:
A
natural spline model fitted our data best. With this model, the relative lung
cancer risk for cumulative exposure levels of 4 and 40 f-y/ml was estimated
between 1.013 and 1.027, and 1.13 and 1.30, respectively. After stratification
by fiber type, a non-significant three- to fourfold difference in RRs between
chrysotile and amphibole fibers was found for exposures below 40 f-y/ml.
Fiber-type-specific risk estimates were strongly influenced by a few studies.
CONCLUSIONS:
The
natural spline regression model indicates that at lower asbestos exposure
levels, the increase in RR of lung cancer due to asbestos exposure may be
larger than expected from previous meta-analyses. Observed potency differences
between different fiber types are lower than the generally held consensus.
Low-exposed industrial or population-based cohorts with quantitative estimates
of asbestos exposure a required to substantiate the risk estimates at low
exposure levels from our new, flexible meta-regression.
Source:
Lung cancer risk at low cumulative asbestos exposure: meta-regression of
the exposure-response relationship. van der Bij S (s.vanderbij@umcutrecht.nl),
Koffijberg H, Lenters V, Portengen L, Moons KG, Heederik D, Vermeulen RC.
Cancer Causes Control. 2012
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