2016
DOI: 10.1089/dia.2015.0394
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Comparison of Two Continuous Glucose Monitoring Systems, Dexcom G4 Platinum and Medtronic Paradigm Veo Enlite System, at Rest and During Exercise

Abstract: Dexcom and Enlite demonstrated comparable overall performances during rest and physical activity. However, a lower accuracy was observed during exercise for both sensors, necessitating a fine-tuning of their performance with physical activity.

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Cited by 58 publications
(60 citation statements)
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“…This type of event is expected to be decreased or eliminated in the future with the use of glucose sensors with better performance. However, glucose sensor performance is reduced during exercise, leading to an overall overestimation of glucose values compared with rest: in our study the mean absolute relative difference (MARD) for Dexcom measurements of plasma glucose was 13.8 ± 12.0% at rest, which increased to 22.5 ± 17.2% during exercise [27]. A similar MARD difference between rest and exercise has been observed with other sensors (e.g.…”
Section: Discussionsupporting
confidence: 82%
See 1 more Smart Citation
“…This type of event is expected to be decreased or eliminated in the future with the use of glucose sensors with better performance. However, glucose sensor performance is reduced during exercise, leading to an overall overestimation of glucose values compared with rest: in our study the mean absolute relative difference (MARD) for Dexcom measurements of plasma glucose was 13.8 ± 12.0% at rest, which increased to 22.5 ± 17.2% during exercise [27]. A similar MARD difference between rest and exercise has been observed with other sensors (e.g.…”
Section: Discussionsupporting
confidence: 82%
“…A similar MARD difference between rest and exercise has been observed with other sensors (e.g. Enlite Veo) [27]. Following dual-hormone interventions, a more favourable overnight glycaemic profile was also noted compared with single-hormone interventions.…”
Section: Discussionsupporting
confidence: 78%
“…6,7 Improved accuracy of CGM There has been steady improvement in the accuracy of glucose sensors. [20][21][22][23][24][25][26][27] The best sensors now have an accuracy of approximately -10% MARD. This has led to greater acceptance by patients and physicians and has enabled users of CGM to reduce the number of measurements of capillary blood glucose (CBG).…”
Section: Part I: Open-loop Controlmentioning
confidence: 99%
“…However, if there is an undetected malfunction, missing data transfer, or the algorithms do not handle the CGM data adequately, a clinically relevant adverse event can clearly ensue [3a]. As with CGM, there are likely to be rapid improvements in AID systems from one generation to the next that will challenge the pace of clinical evaluation (see above) and demand standardized outcome measures (19)(20)(21) [1c].…”
Section: Combination Of Cgm With Insulin Pumps: Automated Insulin Delmentioning
confidence: 99%