Abstract
Statin-induced adverse events may prompt additional pharmacotherapy resulting in prescribing cascades. We previously performed untargeted prescribing cascade signal detection using high throughput sequence symmetry analysis (HTSSA), identifying 57 plausible prescribing cascades. However, this endeavor requires access to big data sources and significant computational efforts; false positives are common. We evaluated whether a targeted approach – using Side Effect Resource (SIDER), a public database containing pharmaceutical package inserts data – captures similar findings more efficiently.
Published Version
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