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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 Patorno
Published 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.
Keyphrases
  • healthcare
  • computed tomography
  • palliative care
  • clinical practice
  • big data
  • magnetic resonance imaging
  • quality improvement
  • electronic health record
  • pain management
  • chronic pain