Using vital statistics to estimate the population-level impact of XXXX on mortality based on death certificates, with an application to France (2000-2004).

@entity3604 @entity173 @entity174
BACKGROUND: We developed a methodology using vital statistics to estimate the impact of @entity3604 on the mortality of an entire population, and applied it to France for the period 2000-2004. METHODS: Current definitions of @entity3604 were reviewed and their components identified. We used the International Classification of Diseases with national vital statistics data for the French adult population and performed cross-classifications between various components: age, sex, I-code (site) and E-code (mechanism of @entity174 ). This methodology allowed identification of appropriate thresholds and categorization for each pertinent component. RESULTS: 2,625,743 death certificates were analyzed, 2.2% of which carried a mention of @entity174 . @entity173 represented 55% of all deaths from @entity174 . Both sexes showed a similar pattern of mortality rates for all @entity174 sites, the rate increased with age from the age of 70 years. The E-high-energy code (present in 12% of death certificates with @entity174 ) was found to be useful to rule-out @entity3604 , and to correct the overestimation of mortality rates. Using this methodology, the crude number of deaths associated with @entity174 was estimated to be 57,753 and the number associated with @entity3604 46,849 (1.85% and 1.78% of all deaths, respectively). CONCLUSION: @entity3604 have a significant impact on overall population mortality.
