A novel data mining application to detect safety signals for newly approved medications in routine care of patients with diabetes
ABSTRACT Background Clinical trials are often underpowered to detect serious but rare adverse events of a new medication. We applied a novel data mining tool to detect potential adverse events of canagliflozin, the first sodium glucose co‐transporter 2 (SGLT2 inhibitor) in the United States, using r...
Main Authors: | Michael Fralick, Martin Kulldorff, Donald Redelmeier, Shirley V. Wang, Seanna Vine, Sebastian Schneeweiss, Elisabetta Patorno |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-07-01
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Series: | Endocrinology, Diabetes & Metabolism |
Subjects: | |
Online Access: | https://doi.org/10.1002/edm2.237 |
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