Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range

Battelino, T.; Danne, T.; Bergenstal, R.; Amiel, S.; Beck, R.; Biester, T.; Bosi, E.; Buckingham, B.; Cefalu, W.; L Close, Kelly; Cobelli, C.; Dassau, Eyal; DeVries, J.; Donaghue, K.; Dovč, K.; Doyle, F.; Garg, S.; Grunberger, G.; Heller, S.; Heinemann, L.; Hirsch, I.; Hovorka, R.; Jia, W.; Kordonouri, O.; Kovatchev, B.; J. Kowalski, Aaron; Laffel, L.; Levine, B.; Mayorov, A.; Mathieu, C.; Murphy, H.; Nimri, R.; Nørgaard, K.; Parkin, C.; Renard, E.; Rodbard, D.; Saboo, Banshi; Schatz, D.; C. Stoner, Keaton; Urakami, T.; Weinzimer, S.; Phillip, M.; Phillip, M.

doi:10.2337/dci19-0028

Public

Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range

Shared by NobleBlocks on Jun 8, 2019 • 12:00 AM UTC

Authors:

T. Battelino

T. Danne

R. Bergenstal

Abstract

Improvements in sensor accuracy, greater convenience and ease of use, and expanding reimbursement have led to growing adoption of continuous glucose monitoring (CGM). However, successful utilization of CGM technology in routine clinical practice remains relatively low. This may be due in part to the...

Subject

Medicine

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