ArticleSensors (Basel, Switzerland)2023
Factory-Calibrated Continuous Glucose Monitoring Systems in Type 1 Diabetes: Accuracy during In-Clinic Exercise and Home Use.
Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The trial behind it
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Who cites it
7 citing papers in PubMed.
- Trial
- Use of Continuous Glucose Monitors in Exercise Research Studies-A Scoping Review on Study Characteristics and Common Practices.Sports (Basel, Switzerland) · 2026Review
- Decision accuracy of simultaneously used real-time CGM versus intermittently scanned CGM around exercise in type 1 diabetes: A secondary analysis of the ULTRAFLEXI-1 study.Diabetic medicine : a journal of the British Diabetic Association · 2026Article
- How to compare algorithms for automated insulin delivery using different sensors?Diabetes, obesity & metabolism · 2025Article
- Long-Term Performance of Two Systems for Automated Insulin Delivery in Adults With Type 1 Diabetes: An Observational Study.Endocrinology, diabetes & metabolism · 2025Observational
- Precision medicine in type 1 diabetes: comparing metabolic outcomes of Control-IQ and MiniMed 780G according to patient characteristics.Diabetes, obesity & metabolism · 2025Article
- Head-to-Head Evaluation of Continuous Glucose Monitoring and Automated Insulin Delivery Systems: Why are They not Used More Systematically?Journal of diabetes science and technology · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Continuous glucose monitors (CGMs) are valuable tools for improving glycemic control, yet their accuracy might be influenced by physical activity. This study sought to assess the accuracy of the three latest factory-calibrated CGM systems available in Europe at the time the study was conducted, both during aerobic exercise and in typical daily scenarios. The accuracy evaluation, based on metrics such as the median absolute relative difference (MARD) and point and rate error-grid analyses (PEGA and REGA), involved 13 adults with type 1 diabetes. Participants wore all sensors during a 1 h in-clinic exercise session followed by a subsequent 3-day home period, with blood glucose measurements serving as reference values in both contexts. During exercise, no statistically significant differences in MARD were observed (Dexcom G6: 12.6%, Guardian 4: 10.7%, and Freestyle Libre 2: 17.2%;
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.