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Related Experiment Video

Updated: Aug 18, 2025

Simple Continuous Glucose Monitoring in Freely Moving Mice

Simple Continuous Glucose Monitoring in Freely Moving Mice

Published on: February 24, 2023

Within-Person and Between-Sensor Variability in Continuous Glucose Monitoring Metrics.

Elizabeth Selvin^1,2, Dan Wang^1,2, Mary R Rooney^1,2

¹Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Clinical Chemistry

|December 10, 2022

Summary

This summary is machine-generated.

Continuous glucose monitoring (CGM) sensors show significant variability in adults with type 2 diabetes. This variability exists both within a single sensor over time and between different CGM devices worn simultaneously.

Keywords:

continuous glucose monitoring method comparison type 2 diabetes within-person variability

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Last Updated: Aug 18, 2025

Simple Continuous Glucose Monitoring in Freely Moving Mice

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Published on: July 27, 2018

Area of Science:

Endocrinology
Diabetes Technology
Clinical Research

Background:

Variability of continuous glucose monitoring (CGM) metrics is not well understood in adults with type 2 diabetes not on insulin.
Understanding CGM sensor performance is crucial for accurate glucose management.

Purpose of the Study:

To assess the within-person and between-sensor variability of CGM metrics.
To compare the performance of Dexcom G4 and Abbott Libre Pro CGM sensors.

Main Methods:

Secondary analysis of data from 172 participants in the Hyperglycemic Profiles in Obstructive Sleep Apnea trial.
Simultaneous wear of Dexcom G4 and Abbott Libre Pro CGM sensors for two 2-week periods, 3 months apart.
Analysis of mean glucose and time in range metrics.

Main Results:

Within-person coefficient of variation (CVw) for mean glucose was 17.4% (Abbott) and 14.2% (Dexcom).
CVw for time in range was 20.1% (Abbott) and 18.6% (Dexcom).
At baseline, sensor correlation for mean glucose was r=0.86 and for time in range was r=0.88.

Conclusions:

Significant within-sensor and between-sensor variability exists for CGM metrics.
Clinicians must consider this variability when making treatment decisions based on CGM data.