Assessing mortality attributable to head and neck cancers caused by smoking, alcohol consumption, and human papillomavirus infection.
Recent advances in causal mediation analysis have allowed researchers to decompose an estimated effect into causally identified direct and indirect effects. To date, this method has been mostly used to study biological mechanisms, but it can be applied in other ways. Provided accurate adjustment for confounding, the indirect effect can be viewed as the risk of the outcome caused by the mediator which in turn was caused by the exposure; for instance, the change in all-cause mortality due to HNCs caused by smoking, alcohol consumption, or HPV infection. Estimating that indirect effect would capture HNC cause-specific mortality, plus effects an HNC diagnosis might have on mortality when HNC is not the underlying cause of death.
PLCO is an ideal population for this study because it has pre-diagnosis information on smoking and alcohol consumption and potential confounders. In a nested case control subpopulation of the screening arm, it has pre-diagnosis serologic assays of HPV antibodies. Finally, the cohort has followed each subject for HNC incidence (including site: oral cavity, oropharynx, and larynx) and mortality.
We aim to estimate the effect on mortality attributable from HNCs caused by smoking, alcohol consumption, and HPV infection. We propose to do this using a novel application of causal mediation analysis measuring the indirect effect of smoking/alcohol/HPV -to- HNC incidence -to- all-cause mortality.
Aim1a: Estimate the effect on mortality from HNC caused by smoking.
Aim1b: Estimate the effect on mortality from HNC caused by alcohol consumption.
Aim1c: Estimate the effect on mortality from HNC caused by HPV infection.
Aim2: Compare the three estimates from aims1a-c.
Canhua Xiao (Emory University)
Deborah Bruner (Emory University)
Dana Flanders (Emory University)