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Use of primary care electronic medical record database in drugefficacy research on cardiovascular outcomes: comparison of database andrandomised controlled trial findings

机译:基层医疗电子病历数据库在药品中的使用心血管预后的有效性研究:数据库和数据库的比较随机对照试验结果

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摘要

>Objectives To determine whether observational studies that use an electronic medical record database can provide valid results of therapeutic effectiveness and to develop new methods to enhance validity.>Design Data from the UK general practice research database (GPRD) were used to replicate previously performed randomised controlled trials, to the extent that was feasible aside from randomisation.>Studies Six published randomised controlled trials. >Main outcome measure Cardiovascular outcomes analysed by hazard ratios calculated with standard biostatistical methods and a new analytical technique, prior event rate ratio (PERR) adjustment.>Results In nine of 17 outcome comparisons, there were no significant differences between results of randomised controlled trials and database studies analysed using standard biostatistical methods or PERR analysis. In eight comparisons, Cox adjusted hazard ratios in the database differed significantly from the results of the randomised controlled trials, suggesting unmeasured confounding. In seven of these eight, PERR adjusted hazard ratios differed significantly from Cox adjusted hazard ratios, whereas in five they didn’t differ significantly, and in three were more similar to the hazard ratio from the randomised controlled trial, yielding PERR results more similar to the randomised controlled trial than Cox (P<0.05).>Conclusions Although observational studies using databases are subject to unmeasured confounding, our new analytical technique (PERR), appliedhere to cardiovascular outcomes, worked well to identify and reduce the effectsof such confounding. These results suggest that electronic medical recorddatabases can be useful to investigate therapeutic effectiveness.
机译:>目标,以确定使用电子病历数据库的观察性研究是否可以提供有效的治疗效果结果,并开发新的方法来提高有效性。>设计来自英国一般实践的数据研究数据库(GPRD)用于复制以前进行的随机对照试验,以达到除随机分组之外还可行的程度。>研究六项已发表的随机对照试验。 >主要结局指标:采用标准生物统计学方法和一种新的分析技术,即事前事件发生率比(PERR)调整,通过危险比分析心血管结局。>结果 17个结局比较中的9个,随机对照试验的结果与使用标准生物统计学方法或PERR分析进行的数据库研究之间没有显着差异。在八次比较中,数据库中Cox调整后的危险比与随机对照试验的结果有显着差异,表明存在无法测量的混淆。在这八项中的七项中,PERR调整后的危险比与Cox调整后的危险比有显着差异,而在五项中,它们没有显着差异,并且三项与随机对照试验的危险比更相似,得出的PERR结果与随机对照试验比Cox(P <0.05)。>结论尽管使用数据库进行的观察性研究存在无法衡量的混淆,但我们的新分析技术(PERR)仍在应用对于心血管疾病的结果,很好地发现和减轻了影响如此令人困惑。这些结果表明,电子病历数据库可用于研究治疗效果。

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