Estimation of glycemic variability requires frequent measures of glucose and is greatly aided
by continuous glucose monitoring (CGM); however, under real-world conditions, missing …

Objective To determine whether the alternate glycemic markers, fructosamine (FA), glycated
albumin (GA), and 1, 5‐anhydroglucitol (1, 5AG), predict glycemic variability captured by …

There is a growing body of evidence that the sole use of hemoglobin A1c is insufficient to
adequately reflect the metabolic situation of patients with diabetes mellitus. The risk of …

Background: The accuracy of continuous glucose monitoring (CGM) systems is crucial for
the management of glucose levels in individuals with diabetes mellitus. However, the …

Glycaemic variability is an integral component of glucose homoeostasis. Although it has not
yet been definitively confirmed as an independent risk factor for diabetes complications …

Use of continuous glucose monitoring (CGM) is recognized as a valuable component of
diabetes self-management and is increasingly considered a standard of care for individuals …

Glycated hemoglobin A 1c (A1C) levels have traditionally been the gold standard for
assessing glycemic control and treatment efficacy in patients with type 2 diabetes. However …

Objective: To understand differences between individuals with type 1 diabetes (T1D) and
type 2 diabetes (T2D) in utilization of continuous glucose monitoring (CGM) data to adjust …

Glycemic fluctuations, characterized by short-term oscillations in plasma glucose, are
important when managing type 2 diabetes (T2D) and may be considered a target of glucose …

Objective: We evaluated effects of unmasking of continuous display of continuous glucose
monitoring (CGM) on quality of glycemic control and glycemic variability. Methods: We …