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Biases in Evaluating the Safety and Effectiveness of Drugs for the Treatment of COVID-19: Designing Real-World Evidence Studies

Christel Renoux, Laurent Azoulay, Samy Suissa

2021American Journal of Epidemiology41 citationsDOIOpen Access PDF

Abstract

The coronavirus disease 2019 pandemic, which was caused by the severe acute respiratory syndrome coronavirus 2, has led to an unprecedented effort to generate real-world evidence on the safety and effectiveness of various treatments. A growing number of observational studies in which the effects of certain drugs were evaluated have been conducted, including several in which researchers assessed whether hydroxychloroquine improved outcomes in infected individuals and whether renin-angiotensin-aldosterone system inhibitors have detrimental effects. In the present article, we review and illustrate how immortal time bias and selection bias were present in several of these studies. Understanding these biases and how they can be avoided may prove important for future observational studies assessing the effectiveness and safety of potentially promising drugs during the coronavirus 19 pandemic.

Topics & Concepts

Coronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Real world evidenceMedicineMEDLINEBetacoronavirusPandemicIntensive care medicineVirologyPharmacologyRisk analysis (engineering)Internal medicineOutbreakDiseaseBiologyBiochemistryInfectious disease (medical specialty)COVID-19 Clinical Research StudiesHealth Systems, Economic Evaluations, Quality of LifePharmaceutical Practices and Patient Outcomes
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