Objective: Reduction of overall cancer mortality in the UK will require a m
arked decrease in lung cancer incidence and mortality. A method was sought
to predict future lung cancer trends at regional and subregional levels to
improve planning, aid the monitoring of health promotion strategies, and to
assess health gains that might be achieved.
Methods: Data on 55,000 lung cancer patients were used in an age-cohort mod
el of lung cancer incidence (1981-95) and a parametric model of survival (1
981-91). Indicators of deprivation were included in the models. Prevalence
was estimated from the product of incidence and survival. Lung cancer trend
s were predicted to 2015, both at steady state and with an incidence pertur
bation.
Results: Female lung cancer is predicted to increase, until by 2015 the num
bers will almost equal those in men. Cohort coefficients reveal an increasi
ng risk of lung cancer in females born after 1941. Changing these female co
hort coefficients to equate to a declining risk after 1941 suggests that, b
y 2015, around 200 cases per year might be prevented. This would necessitat
e a marked change in smoking behavior. Survival from lung cancer was signif
icantly associated with social deprivation and health authority of residenc
e.
Conclusions: A credible model has been derived which can be used for health
service and outcome monitoring. The model results have highlighted a prior
ity area for smoking intervention which currently seems to attract little a
ttention.