INTRODUCTION: To study time trends in @entity2 mortality by separating the incidence and case-fatality rates, in association with age, period, and cohort effects. METHODS: @entity2 cases (n = 44,139) diagnosed between 1996 and 2002 in Taiwan were analyzed by decomposing the time trend in mortality into incidence and case-fatality rates. Descriptive data, together with periodical treatment distribution (surgery, chemotherapy, and others) were analyzed using a Bayesian age, period, and cohort (BAPC) model. RESULTS: Midterm mortality (2-year age-adjusted standardized mortality rate) has been decreasing for @entity2 @entity1 since about 2000, mainly because of a decrease in incidence during this period. For @entity1 , 2-year age-adjusted standardized mortality rate has been slightly increasing, mainly as a result of increasing incidence. There were small improvements (3-6%) in the short-term (1-year) case-fatality rate, possibly owing to increased utilization (approximately 15-18%) of chemotherapy. The midterm (2-year) case-fatality rate remained roughly the same, especially for @entity1 . CONCLUSIONS: Using a new BAPC model, we found that the trends in mortality for @entity2 paralleled the changes in incidence, with opposite effects in @entity1 and @entity1 . Increased utilization of chemotherapy might have partly accounted for the small improvement in the case-fatality rate. The contributions of other unmeasured factors such as staging and histologic distribution remain to be clarified in future studies.

A Bayesian model for age, period, and cohort effects on mortality trends for XXXX , in association with gender-specific incidence and case-fatality rates.

@entity1 :: ('9606', 'Species') :: ['women', 'patients', 'men'] @entity2 :: ('MESH:D008175', 'Disease') :: ['Lung cancer', 'male lung cancer', 'lung cancer']
@entity2 :: (MESH:D008175,Disease) :: ['lung cancer']
