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Can analyses of electronic patient records be independently and externally validated? The effect of statins on the mortality of patients with Ischaemic heart disease: a cohort study with nested case-control analysis

机译:电子病历的分析是否可以独立和外部验证?他汀类药物对缺血性心脏病患者死亡率的影响:采用巢式病例对照分析的队列研究

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摘要

OBJECTIVE: To conduct a fully independent and external validation of a research study based on one electronic health record database, using a different electronic database sampling the same population. DESIGN: Using the Clinical Practice Research Datalink (CPRD), we replicated a published investigation into the effects of statins in patients with ischaemic heart disease (IHD) by a different research team using QResearch. We replicated the original methods and analysed all-cause mortality using: (1) a cohort analysis and (2) a case-control analysis nested within the full cohort. SETTING: Electronic health record databases containing longitudinal patient consultation data from large numbers of general practices distributed throughout the UK. PARTICIPANTS: CPRD data for 34 925 patients with IHD from 224 general practices, compared to previously published results from QResearch for 13 029 patients from 89 general practices. The study period was from January 1996 to December 2003. RESULTS: We successfully replicated the methods of the original study very closely. In a cohort analysis, risk of death was lower by 55% for patients on statins, compared with 53% for QResearch (adjusted HR 0.45, 95% CI 0.40 to 0.50; vs 0.47, 95% CI 0.41 to 0.53). In case-control analyses, patients on statins had a 31% lower odds of death, compared with 39% for QResearch (adjusted OR 0.69, 95% CI 0.63 to 0.75; vs OR 0.61, 95% CI 0.52 to 0.72). Results were also close for individual statins. CONCLUSIONS: Database differences in population characteristics and in data definitions, recording, quality and completeness had a minimal impact on key statistical outputs. The results uphold the validity of research using CPRD and QResearch by providing independent evidence that both datasets produce very similar estimates of treatment effect, leading to the same clinical and policy decisions. Together with other non-independent replication studies, there is a nascent body of evidence for wider validity.
机译:目的:基于一个电子病历数据库,使用对相同人群进行采样的不同电子数据库,对一项研究进行完全独立和外部的验证。设计:使用临床实践研究数据链(CPRD),由不同的研究小组使用QResearch复制了他汀类药物对缺血性心脏病(IHD)患者的作用的已发表研究。我们复制了原始方法并使用以下方法分析了全因死亡率:(1)队列分析,(2)嵌套在整个队列中的病例对照分析。地点:电子健康记录数据库,其中包含来自英国各地的大量常规实践的纵向患者咨询数据。参与者:来自224种常规治疗的34 925名IHD患者的CPRD数据,与之前QResearch公布的来自89种常规治疗的13029名患者的CPRD数据相比。研究期间为1996年1月至2003年12月。结果:我们非常成功地复制了原始研究的方法。在队列分析中,他汀类药物患者的死亡风险降低了55%,而QResearch患者的死亡风险降低了53%(校正后的HR 0.45,95%CI 0.40至0.50; 0.47,95%CI 0.41至0.53)。在病例对照分析中,使用他汀类药物的患者的死亡几率低31%,而QResearch患者的死亡几率低39%(校正后的OR 0.69,95%CI 0.63至0.75; vs 0.61,95%CI 0.52至0.72)。个别他汀类药物的结果也很接近。结论:人口特征和数据定义,记录,质量和完整性方面的数据库差异对关键统计输出影响最小。通过提供独立的证据表明两个数据集对治疗效果的估计非常相似,从而得出相同的临床和政策决定,结果支持使用CPRD和QResearch的研究的有效性。与其他非独立复制研究一起,有大量的证据表明其有效性。

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