35: CGM Series - The Importance of CGM Accuracy and Study Design with Professor Othmar Moser episode artwork

EPISODE · Mar 23, 2026 · 59 MIN

35: CGM Series - The Importance of CGM Accuracy and Study Design with Professor Othmar Moser

from The Glucose Never Lies® Podcast · host John Pemberton

Suggest guests or get in contactCGM Series | The Glucose Never Lies® PodcastCGM accuracy is usually described with a single number: MARD. But a low MARD can hide significant risk if the study behind it was poorly designed. Professor Othmar Moser — one of the leading independent CGM accuracy researchers — explains what study design actually determines, why meal and insulin challenges are non-negotiable, and what people with type 1 diabetes and clinicians should look for when evaluating any accuracy claim.In this episode:What MARD is and why it misleads when used in isolationThe five study design questions that determine what accuracy data actually meansWhy 20/20 and 40/40 agreement rates reveal what MARD cannotWhy meal and insulin challenges are essential for real-world accuracy testingWhat CE marking does and does not guarantee about CGM performanceWhy peer-reviewed, independent evidence is the gold standard — and how little of what is cited meets itHow study design quality shapes what we actually know about CGM riskProfessor Moser's perspective as a researcher who designs and runs these studiesGuest: Professor Othmar Moser, Medical University of Graz, Austria. Leading figure in independent CGM accuracy study design and insulin-related exercise physiology research in type 1 diabetes.Links:Full show notes: https://theglucoseneverlies.com/episode-35-cgm-series-the-importance-of-cgm-accuracy-and-study-design-with-professor-othmar-moser/CGM Guide Part 2 — Assessing CGM Accuracy: https://theglucoseneverlies.com/assessing-cgm-accuracy-performance/CGM Guide Part 1 — How to Choose a CGM: https://theglucoseneverlies.com/select-continuous-glucose-monitor-cgm-understanding/Episode 36 — DSN Forum: CGM Accuracy and ATTD 2025: https://theglucoseneverlies.com/episode-36-cgm-accuracy-dsn-forum/Watch on YouTube: https://youtu.be/zTdTps42kQ8Educational purposes only. Not medical advice. Always work with your diabetes care team.Support GNL: https://buy.stripe.com/9B63cx4UO3KEdKC0Sp7Re00The Glucose Never Lies® is a registered trademark of The GNL Ltd. Company No. 16733595. UK VAT No. GB 516 3272 08.DisclaimerThis podcast is for education and informational purposes only. It does not constitute medical advice and is not a substitute for individualised care.The Glucose Never Lies® is independent by designWe do not accept sponsorships and advertising. We operate via education grants and donations from listeners who value independence. So, consider:Buying the GNL a Coffee:https://www.buymeacoffee.com/jspfree2EnquiriesCollaboration: John Pemberton — [email protected]: Anjanee Kohli — [email protected] The Glucose Never Lies®Website: https://theglucoseneverlies.com/Instagram: https://www.instagram.com/theglucoseneverliesLinkedIn: https://www.linkedin.com/company/theglucoseneverliesLinkedIn: John Pemberton: https://www.linkedin.com/in/john-pemberton-587104361/X: https://twitter.com/GlucoseNLiesDisclaimer This content is for informational purposes only and does not constitute medical advice.© The Glucose Never Lies Ltd. All rights reserved.

Suggest guests or get in contact CGM Series | The Glucose Never Lies® Podcast CGM accuracy is usually described with a single number: MARD. But a low MARD can hide significant risk if the study behind it was poorly designed. Professor Othmar Moser — one of the leading independent CGM accuracy researchers — explains what study design actually determines, why meal and insulin challenges are non-negotiable, and what people with type 1 diabetes and clinicians should look for when evaluating any a...

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35: CGM Series - The Importance of CGM Accuracy and Study Design with Professor Othmar Moser

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This episode was published on March 23, 2026.

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Suggest guests or get in contactCGM Series | The Glucose Never Lies® PodcastCGM accuracy is usually described with a single number: MARD. But a low MARD can hide significant risk if the study behind it was poorly designed. Professor Othmar Moser —...

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