PubMed · 16768067
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Richard S Dutton. 2006. Death certificates.. https://pubmed.ncbi.nlm.nih.gov/16768067/
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OBJECTIVES: It remains debated whether patients with ulcerative colitis (UC) are at greater risk of dying and whether a possible alteration in mortality can be attributed to specific causes of death. We aimed to clarify this issue by conducting a meta-analysis of population-based inception cohort studies on overall and cause-specific mortality in patients with UC. METHODS: The MEDLINE search engine and abstracts from international conferences were searched for relevant literature by use of explicit search criteria. STATA meta-analysis software was used to calculate pooled risk estimates (SMR, standardized mortality ratio, observed/expected deaths) of overall mortality and specific causes of death and to conduct metaregression analyses of the influence of specific variables on SMR. RESULTS: Ten papers fulfilled the inclusion criteria, reporting SMRs varying from 0.7 to 1.4. The overall pooled estimate was 1.1 (95% confidence interval [CI] 0.9-1.2, P= 0.42). However, greater risk of dying was observed during the first years of follow-up, in patients with extensive colitis, and in patients from Scandinavia. Metaregression analysis showed an increase in SMR by increasing cohort size. UC-related mortality accounted for 17% of all deaths. Mortality from gastrointestinal diseases, nonalcoholic liver diseases, pulmonary embolisms, and respiratory diseases was increased whereas mortality from pulmonary cancer was reduced. CONCLUSIONS: The overall risk of dying in patients with UC did not differ from that of the background population, although subgroups of patients were at greater risk of dying. The cause-of-death distribution seemed to differ from that of the background population.
BACKGROUND: Death certification is the basis for the study of mortality patterns and the identification of leading causes of death. These data are used for planning health policies and prevention programs. AIM: To evaluate the quality of mortality statistics in Chile from 1997 and 2003. MATERIAL AND METHODS: Mortality data from 1997 to 2003 available at the Chilean Ministry of Health was used. Quality of information was evaluated using the percentage of certifications done by physicians and ill-defined causes of death according to rural or urban residence, medical services, age and gender. RESULTS: Death certification done by physicians increased from 97.6% to 99.0% in the studied period. The greatest increase was observed in rural areas, from 89.9% to 94,8%. There was a steady reduction in the percentage of ill-defined causes of deaths, from 4.7% in 1997 to 2.8% in 2003. The percentage of ill-defined causes had a great variation among the different medical services. The variation went from 1.5% in Magallanes to 13.7% in Araucania Sur. There was an inverse linear correlation between death certification by physicians and ill-defined conditions. CONCLUSIONS: Quality of Chilean mortality statistics has improved over time. Nevertheless, there is still space for enhancement for the appropriate use of this information.
Psychiatrists, epidemiologists, and sociologists have debated the existence of an association between weather conditions and suicide seasonality since the preliminary statistical investigations in the 19th century. Provided that the effect of weather conditions on suicide operates via a dose-response-like mechanism, time-series (Box-Jenkins) analysis permits an indirect test of the hypothesis that temperature or other weather variables promote higher suicide frequencies in late spring and early summer months. The authors modeled monthly data on suicide and climatic conditions (i.e., temperature, sunshine, and precipitation data) in Switzerland. Cross-correlations between the filtered (prewhitened) residual series were calculated for the period 1881-2000, for consecutive 30-year periods, for different suicide methods, and--with regard to the seasonality hypothesis--for series relying on moving 1- and 3-month frames. Positive cross-correlations emerged between suicide and temperature data for the whole time series, as well as in all consecutive 30-year periods. However, cross-correlations of data series based on moving frames showed a minor peak in associations for summer frames and a major peak in associations for winter frames, the latter reflecting suicides performed mainly outdoors (being run over by a train and jumping from high places). The results represent a novel minor effect in seasonality of suicide, which is hardly compatible with the hypothesized role of temperature in suicide seasonality.