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Published on: November 27, 2019
Carbon Black and Lung Cancer Mortality-A Meta-regression Analysis Based on Three Occupational Cohort Studies
Mei Yong1, Laura Anderle, Len Levy
1Institute for Occupational Epidemiology and Risk Assessment, Evonik Industries AG, Germany (Ms Yong, Ms Anderle); Institute of Environment and Health, Cranfield University, Cranfield, Bedfordshire, United Kingdom (Mr Levy); Pulmonary Division, Brigham and Women' s Hospital, Boston, Massachussets (Mr McCunney).
Objectives:
We review three large cohort studies of occupational exposure to carbon black and association with lung cancer mortality, and conduct a meta-regression to derive an exposure-response relationship.
Methods:
Meta-regression analysis of cumulative exposure to carbon black and lung cancer mortality was conducted based on the relative risk estimates reported by three cohort studies of production workers from US, UK, and Germany.
Results:
A 10 mg/m yr increase in cumulative exposure to carbon black was associated with a relative risk decrease of 1% (relative risk [RR] = 0.99; 95% confidence interval [CI]: 0.87-1.13) for lung cancer mortality. No exposure-response relationship was observed.
Conclusions:
This meta-regression analysis of three large occupational mortality studies reports that historic workplace exposures to carbon black were not associated with a significant risk of lung cancer.
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Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
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