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Identifying diabetogenic drugs using real world health care databases: A Danish and Australian symmetry analysis.

Lars Christian LundPatricia Hjorslev JensenJesper HallasMorten AndersenNicole L PrattNina Sahlertz Kristiansen
Published in: Diabetes, obesity & metabolism (2023)
We identified 70 drug-diabetes associations, of which 27 were classified as hitherto unknown. Further studies evaluating the hypotheses generated by this work are needed, particularly for the signal for digitalis glycosides.
Keyphrases
  • healthcare
  • type diabetes
  • cardiovascular disease
  • drug induced
  • glycemic control
  • emergency department
  • big data
  • metabolic syndrome
  • electronic health record
  • artificial intelligence
  • social media
  • data analysis