Literature DB >> 25661981

Continuous glucose monitoring in people with diabetes: the randomized controlled Glucose Level Awareness in Diabetes Study (GLADIS).

J P New1, R Ajjan, A F H Pfeiffer, G Freckmann.   

Abstract

AIMS: To investigate the best glucose monitoring strategy for maintaining euglycaemia by comparing self-monitoring of blood glucose with continuous glucose monitoring, with or without an alarm function.
METHODS: A 100-day, randomized controlled study was conducted at four European centres, enrolling 160 patients with Type 1 or Type 2 diabetes, on multiple daily insulin injections or continuous subcutaneous insulin infusion. Participants were randomized to continuous glucose monitoring without alarms (n = 48), continuous glucose monitoring with alarms (n = 49) or self-monitoring of blood glucose (n = 48).
RESULTS: Time spent outside the glucose target during days 80-100 was 9.9 h/day for the continuous glucose monitoring without alarms group, 9.7 h/day for the continuous glucose monitoring with alarms group and 10.6 h/day for the self-monitoring of blood glucose group (P = 0.18 and 0.08 compared with continuous glucose monitoring without and with alarms, respectively).The continuous glucose monitoring with alarms group spent less time in hypoglycaemia compared with the self-monitoring of blood glucose group (1.0 h/day and 1.6 h/day, respectively; 95% CI -1.2 to -0.1; P = 0.030). Among those treated with continuous subcutaneous insulin infusion, time spent outside the glucose target was significantly different when comparing continuous glucose monitoring without alarms and self-monitoring of blood glucose (-1.9 h/day; 95% CI -3.8 to 0.0; P = 0.0461) and when comparing continuous glucose monitoring with alarms and self-monitoring of blood glucose (-2.4 h/day; 95% CI -4.1 to -0.5; P = 0.0134). There was no difference in HbA1c reduction from baseline in the three groups; however, the proportion of participants with a reduction of ≥ 6 mmol/mol (≥ 0.5%) was higher in the continuous glucose monitoring without alarms (27%) and continuous glucose monitoring with alarms groups (25%) than in the self-monitoring of blood glucose group (10.6%).
CONCLUSIONS: This study shows that the use of continuous glucose monitoring reduces time spent outside glucose targets compared with self-monitoring of blood glucose, especially among users of insulin pumps.
© 2015 The Authors. Diabetic Medicine © 2015 Diabetes UK.

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Year:  2015        PMID: 25661981     DOI: 10.1111/dme.12713

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  24 in total

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Authors:  Molly L Tanenbaum; Rebecca N Adams; Esti Iturralde; Sarah J Hanes; Regan C Barley; Diana Naranjo; Korey K Hood
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2.  Perceived Usefulness of Continuous Glucose Monitoring Devices at the Workplace: Secondary Analysis of Data From a Qualitative Study.

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4.  Continuous Glucose Monitoring Use in Type 1 Diabetes: Longitudinal Analysis Demonstrates Meaningful Improvements in HbA1c and Reductions in Health Care Utilization.

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5.  Improved Real-World Glycemic Control With Continuous Glucose Monitoring System Predictive Alerts.

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6.  Diabetes-Related Cognitive Decline, a Global Health Issue, and New Treatments Approaches.

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Review 7.  Measures of Accuracy for Continuous Glucose Monitoring and Blood Glucose Monitoring Devices.

Authors:  Guido Freckmann; Stefan Pleus; Mike Grady; Steven Setford; Brian Levy
Journal:  J Diabetes Sci Technol       Date:  2018-11-19

8.  Diabetes Healthcare Professionals Use Multiple Continuous Glucose Monitoring Data Indicators to Assess Glucose Management.

Authors:  Tong Sheng; Reid Offringa; David Kerr; Mark Clements; Jerome Fischer; Linda Parks; Michael Greenfield
Journal:  J Diabetes Sci Technol       Date:  2019-09-06

9.  Flash Continuous Glucose Monitoring: Implications for Use of Continuous Data in Daily Diabetes Management.

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10.  Effects of real-time continuous glucose monitoring in type 1 diabetes: a meta-analysis of randomized controlled trials.

Authors:  I Dicembrini; C Cosentino; M Monami; E Mannucci; L Pala
Journal:  Acta Diabetol       Date:  2020-08-13       Impact factor: 4.280

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