Research Unmuted – Episode 2: What CGM Data Gaps Are Really Telling Us
Abstract
This scholarly podcast episode discusses recent research on CGM data gaps and the effect on estimation of glycemic control. The episode is based on the peer-reviewed study by Simon Lebech Cichosz, Niels Væver Hartvig, Thomas Kronborg, Stine Hangaard, Peter Vestergaard, Morten Hasselstrøm Jensen, titled "Biases in glucose metrics are directly related to low coverage of continuous glucose monitoring: Insights from diverse populations", published in Diabetes Technology & Therapeutics. The discussion focuses on the methodological aspects, key findings, and implications for clinical practice and future research. This episode is part of Research Unmuted (https://research-unmuted.uk/), a scientific audio journal aimed at translating contemporary medical and digital health research into an accessible, yet academically, audio format
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 2 January 2026