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BACKGROUND The US Food and Drug Administration (FDA) uses the Adverse Event Reporting System (FAERS) to support post-marketing safety surveillance programs. Currently, almost one million case reports are submitted to FAERS each year, making it a vast repository of drug safety information. Sometimes cited as a limitation of FAERS, however, is the assumption(More)
BACKGROUND Cholesterol management drugs known as statins are widely used and often well tolerated; however, a variety of muscle-related side effects can arise. These adverse events (AEs) can have serious impact, and form a significant barrier to therapy adherence. Surveillance of post-marketing AEs is of vital importance to understand real-world AEs and(More)
BACKGROUND The United States Food and Drug Administration's (FDA) Adverse Event Reporting System (FAERS) consists of adverse event (AE) reports linked to approved drugs. The database is widely used to support post-marketing safety surveillance programs. Sometimes cited as a limitation to the usefulness of FAERS, however, is the 'Weber effect,' which is(More)
INTRODUCTION Many serious drug adverse events (AEs) only manifest well after regulatory approval. Therefore, the development of signaling methods to use with post-approval AE databases appears vital to comprehensively assess real-world drug safety. However, with millions of potential drug-AE pairs to analyze, the issue of focus is daunting. OBJECTIVE Our(More)
BACKGROUND Given the multiple limitations associated with relatively homogeneous preapproval clinical trials, inadequate data disclosures, slow reaction times from regulatory bodies, and deep-rooted bias against disclosing and publishing negative results, there is an acute need for the development of analytics that reflect drug safety in heterogeneous,(More)
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