ArticleDiabetes, obesity & metabolism2022
Real world hypoglycaemia related to glucose variability and Flash glucose scan frequency assessed from global FreeStyle Libre data.
Article in Diabetes, obesity & metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Effect of switching from intermittently scanned continuous glucose monitoring to FreeStyle Libre 2 with real-time continuous glucose monitoring and alert functionality.Journal of diabetes investigation · 2026Article
- Contributions of intermittently scanned continuous glucose monitoring frequency and bolus insulin dosing on time in range: Analysis of data from CGM and connected insulin pens.Diabetes, obesity & metabolism · 2025Article
- Personalized Hemoglobin A1c Shows Better Correlation with Mean Glucose than Laboratory Hemoglobin A1c in Ugandan Youth with Type 1 Diabetes, but Mean Glucose Is Not Clinically Useful in This Population Due to Extreme Glucose Variability.Diabetes technology & therapeutics · 2025Article
- Diurnal variation in the association between the scan frequency of isCGM and CGM metrics: post hoc analysis of the ISCHIA study.Diabetology international · 2024Article
- Clinical relevance of short-term glycemic variability in children and adolescents with type 1 diabetes: a narrative review.Translational pediatrics · 2024Review
- Predictors of the effectiveness of isCGM usage in adults with type 1 diabetes mellitus: post-hoc analysis of the ISCHIA study.Diabetology international · 2024Article
- New ex vivo method to objectively assess insulin spatial subcutaneous dispersion through time during pump basal-rate based administration.Scientific reports · 2023Article
- Real world hypoglycaemia related to glucose variability and Flash glucose scan frequency assessed from global FreeStyle Libre data.Diabetes, obesity & metabolism · 2022Article
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Authors and funding
7 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimFlash glucose monitoring provides a range of glucose metrics. In the current study, we aim to identify those that indicate that glycaemic targets can be consistently met and contrast the total (t-CV) and within-day coefficient of variation (wd-CV) to guide the assessment of glucose variability and hypoglycaemia exposure.
methodsDe-identified data from Flash readers were collected. The readers were sorted into 10 equally sized groups of scan frequency followed by quartiles of estimated A1c (eA1c). A similar grouping was performed for the total coefficient of variation (t-CV) and within-day coefficient of variation (wd-CV). In addition, analysis of the association of time below 54 mg/dl and glucose variability measured by t-CV and wd-CV was performed.
resultsThe dataset included 1 002 946 readers. Readers sorted by 10 equal groups of scan rate and quartiles by eA1c, t-CV and wd-CV represented 25 074 readers per group. The association of lower eA1c with higher time in range and reduced time above range was clear. The correlation of eA1c quartiles and time below range was not consistent. An association between glucose variability and hypoglycaemia was found. Both wd-CV and t-CV were associated with time below range. For achieving the consensus target of <1% time below 54 mg/dl, the associated wd-CV and t-CV values were 33.5% and 39.5%, respectively.
conclusionsThe type of CV reported by the different continuous glucose monitoring systems should be acknowledged. CV <36% might not be adequate to ensure low hypoglycaemia exposure. To our knowledge, the majority of continuous glucose monitoring reports the t-CV. Appropriate thresholds should be used to identify patients that would probably meet time below range targets (t-CV <40% or wd-CV <34%).
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