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Overall and cause-specific mortality in the Sentinel system: A power analysis

机译:Sentinel系统的总体和原因特异性死亡率:权力分析

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Purpose Mortality data within the Sentinel Death Tables remain generally uncharacterized. Assessment of mortality data within Sentinel will help inform its utility for medical product safety studies. Methods To determine if Sentinel contains sufficient all-cause and cause-specific mortality events to power postmarketing safety studies. We calculated crude rates of all-cause mortality and suicide and proportional mortality from suicide from 2004 to 2012 in seven Sentinel data partners. Results were stratified by data partner, sex, age group, and calendar year and compared with national estimates from Centers for Disease Control and Prevention Wide-ranging ONline Data for Epidemiologic Research. We performed sample size estimations for all-cause mortality and 10 leading causes of death. Results We observed 479 694 deaths, including 5811 suicides, during 68 million person-years of follow-up. Pooled mean death and suicide rates in the data partners were 710 and 8.6 per 100 000 person-years, respectively (vs 810 and 11.8 nationally). The mean proportional mortality from suicide among the data partners was 1.2%, compared with 1.5% nationally. National trends of decreasing overall mortality and increasing proportional mortality for suicide were reflected within Sentinel. We estimated that detecting hazard ratios of 1.25 and 3 would require 16 442 and 460 exposed patients, respectively, for overall mortality, and 1.3 million and 37 411, respectively, for suicide. Conclusions This was the first study to investigate mortality data in the Sentinel death tables. We found that all-cause mortality appeared well powered for use as a safety outcome and cause-specific mortality outcomes may be adequately powered in certain circumstances. Further investigation into the quality of the Sentinel death data is needed.
机译:Sentinel死亡表中的目的死亡率数据仍然是一般无表。 Sentinel中死亡率数据的评估将有助于向其效用提供医疗产品安全性研究。确定Sentinel是否包含足够的全因和特定原因的死亡率,以便为电力营销安全性研究提供足够的全因和造成特定的死亡事件。我们在七个Sentinel数据合作伙伴中计算了从2004年到2012年自杀的全因死亡率和自杀和比例死亡率的原油。结果由数据伴侣,性别,年龄组和日历年分层,并与疾病控制和预防中心的国家估计进行了比较,这些估计是流行病学研究的广泛范围内的在线数据。我们对全因死的死亡率和10个主要死因进行了样本量估计。结果我们观察了479名694人死亡,其中包括5811人的自杀,在6800万人的后续行动中。汇总的平均死亡和数据合作伙伴的自杀率分别为每100 000人 - 年为710和8.6(与国家/ vs 810和11.8)。数据伙伴之间自杀的平均成比例死亡率为1.2%,与全国1.5%相比。在Sentinel中反映了整体死亡率降低和增加的成比例死亡率的国家趋势。我们估计检测1.25和3的危险比例分别需要16 442和460名暴露的患者,分别用于分别用于自杀。结论这是第一次调查哨兵死亡表中死亡数据的研究。我们发现,随着安全结果,所有原因死亡率都出现了很好的供电,并且在某些情况下可能会充分发出特异性死亡率结果。需要进一步调查哨兵死亡数据的质量。

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