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Diabetes Technology & Therapeutics|August 22, 2008
Pramlintide reduces the risks associated with glucose variability in type 1 diabetesBoris P Kovatchev, John Crean, Anthony McCallDiabetes Technology & Therapeutics|January 3, 2006
Quantifying temporal glucose variability in diabetes via continuous glucose monitoring: mathematical methods and clinical applicationBoris P Kovatchev, William L Clarke, Marc Breton, et al.Diabetes Technology & Therapeutics|November 18, 2006
A novel analytical method for assessing glucose variability: using CGMS in type 1 diabetes mellitusAnthony L McCall, Daniel J Cox, John Crean, et al.Nature Reviews. Endocrinology|March 18, 2017
Metrics for glycaemic control - from HbA1c to continuous glucose monitoringBoris P KovatchevCurrent Diabetes Reports|November 2, 2006
Is glycemic variability important to assessing antidiabetes therapies?Boris P KovatchevScientifica|November 27, 2013
Diabetes technology: markers, monitoring, assessment, and control of blood glucose fluctuations in diabetesBoris P KovatchevDiabetes Care|December 24, 2004
Relationships between hyperglycemia and cognitive performance among adults with type 1 and type 2 diabetesDaniel J Cox, Boris P Kovatchev, Linda A Gonder-Frederick, et al.Journal of Diabetes Science and Technology|June 2, 2010
Impact of blood glucose self-monitoring errors on glucose variability, risk for hypoglycemia, and average glucose control in type 1 diabetes: an in silico studyMarc D Breton, Boris P KovatchevJournal of Diabetes Science and Technology|September 17, 2009
The median is not the only message: a clinician's perspective on mathematical analysis of glycemic variability and modeling in diabetes mellitusAnthony L McCall, Boris P KovatchevDiabetes Technology & Therapeutics|March 30, 2021
One Year Real-World Use of the Control-IQ Advanced Hybrid Closed-Loop TechnologyMarc D Breton, Boris P KovatchevPageof 16