A novel data mining application to detect safety signals for newly approved medications in routine care of patients with diabetes.
Michael FralickMartin KulldorffDonald RedelmeierShirley V WangSeanna VineSebastian G SchneeweissElisabetta PatornoPublished in: Endocrinology, diabetes & metabolism (2021)
In a large population-based study, we identified known but no other adverse events associated with canagliflozin, providing reassurance on its safety among adult patients with T2D and suggesting the tree-based scan statistic method is a useful post-marketing safety monitoring tool for newly approved medications.