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External adjustment for unmeasured confounders improved drug-outcome association estimates based on health care utilization data

机译:根据卫生保健利用率数据,对未测混杂因素的外部调整改善了药物结果关联的估计

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摘要

Objectives: Health care utilization (HCU) databases are widespread sources of data for pharmacoepidemiologic investigations. Possible confounders are typically not measured in such databases. We show how to assess the impact of confounders in a study aimed at comparing cardiovascular (CV) risk according to drug regimen prescribed at starting antihypertensive therapy, nominally one agent (monotherapy) or a combination of agents in a unique tablet (fixed-dose combination) or in at least two distinct tablets (extemporaneous combination).
机译:目标:卫生保健利用率(HCU)数据库是药物流行病学调查的广泛数据来源。通常不会在此类数据库中测量可能的混杂因素。我们将在一项旨在根据开始抗高血压治疗的处方药物方案,标称一种药物(单一疗法)或多种药物组合的独特片剂(固定剂量组合)中比较心血管(CV)风险的研究中,展示如何评估混杂因素的影响)或至少两种不同的片剂(临时组合)。

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