What is it about?
Standard diabetes metrics show how spread out glucose levels are, but not how quickly they change. This paper shows that people with similar "glucose variability" scores can have very different patterns, with some experiencing frequent, rapid swings. It proposes a simple framework separating variability into spread (dispersion) and speed of change (volatility), along with visuals to reveal this hidden instability.
Featured Image
Photo by Jane Korsak on Unsplash
Why is it important?
Relying only on current metrics may misclassify patients as “stable” when they experience frequent rapid glucose swings that carry clinical risk. By explicitly recognising volatility alongside dispersion, this work provides a clearer and more complete picture of glycemic control, with potential to improve risk assessment and guide treatment.
Perspectives
This work aims to shift how we think about glycemic variability from a single summary number to a dynamic process. My hope is that making volatility visible will help align clinical metrics with what patients and clinicians intuitively recognise as unstable glucose control.
Dr Robert Richardson
Read the Original
This page is a summary of: Beyond the Coefficient of Variation: Reframing Glycemic Variability as Dispersion and Volatility, Diabetes Technology & Therapeutics, April 2026, SAGE Publications,
DOI: 10.1177/15209156261441490.
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