Literature DB >> 24500556

A comparison of internet monitoring with continuous glucose monitoring in insulin-requiring type 2 diabetes mellitus.

Hugh D Tildesley1, Anthony M Wright2, Jeremy H M Chan3, Adel B Mazanderani4, Stuart A Ross5, Hamish G Tildesley6, Augustine M Lee7, Tricia S Tang7, Adam S White8.   

Abstract

OBJECTIVE: To compare the effects of real-time continuous glucose monitoring (RT-CGM) and an Internet blood glucose monitoring system (IBGMS) on glycated hemoglobin levels in patients with type 2 diabetes mellitus treated with insulin.
METHODS: Fifty-seven patients with type 2 diabetes treated with insulin were assigned randomly to 1 of 2 groups. Group 1 had the results of their self-monitoring of blood glucose level monitored biweekly using an IBGMS. Group 2 used RT-CGM and were monitored biweekly. Both groups used a secure website to upload data and to receive feedback from their endocrinologist. A1C and laboratory test results were collected at 0, 3 and 6 months.
RESULTS: The baseline parameters were not significantly different. After a 6-month follow-up period, both IBGMS and RT-CGM showed significant within-group improvements in A1C level. In the IBGMS group, the A1C level decreased from 8.79%±1.25% to 7.96%±1.30% (p<0.05). The RT-CGM group decreased from 8.80%±1.37% to 7.49%±0.70% (p<0.001). IBGMS and RT-CGM did not show significantly different A1C levels at baseline, 3 and 6 months (p>0.05).
CONCLUSIONS: The use of both IBGMS and RT-CGM significantly improved A1C levels in patients with type 2 diabetes treated with insulin in a randomized trial over a 6-month period. There were no significant differences in A1C values between groups after 6 months.
Copyright © 2013 Canadian Diabetes Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Internet-based glucose monitoring; diabète de type 2; real-time continuous glucose monitoring; remote monitoring; surveillance du glucose en continu en temps réel; surveillance du glucose par Internet; surveillance à distance; type 2 diabetes

Mesh:

Substances:

Year:  2013        PMID: 24500556     DOI: 10.1016/j.jcjd.2013.05.006

Source DB:  PubMed          Journal:  Can J Diabetes        ISSN: 1499-2671            Impact factor:   4.190


  5 in total

1.  Continuous glucose monitoring in 2014.

Authors:  Bruce W Bode; Tadej Battelino
Journal:  Diabetes Technol Ther       Date:  2015-02       Impact factor: 6.118

2.  Blood glucose self-monitoring and internet diabetes management on A1C outcomes in patients with type 2 diabetes.

Authors:  Nelson Chow; Daniel Shearer; Jessica Aydin Plaa; Betty Pottinger; Monika Pawlowska; Adam White; Hugh D Tildesley
Journal:  BMJ Open Diabetes Res Care       Date:  2016-04-29

3.  A Novel Classification Indicator of Type 1 and Type 2 Diabetes in China.

Authors:  Yannian Wang; Shanshan Liu; Ruoxi Chen; Zhongning Chen; Jinlei Yuan; Quanzhong Li
Journal:  Sci Rep       Date:  2017-12-12       Impact factor: 4.379

4.  The Inclusion of Ethnic Minority Patients and the Role of Language in Telehealth Trials for Type 2 Diabetes: A Systematic Review.

Authors:  Talia Isaacs; Daniel Hunt; Danielle Ward; Leila Rooshenas; Louisa Edwards
Journal:  J Med Internet Res       Date:  2016-09-26       Impact factor: 5.428

Review 5.  Characterizing Active Ingredients of eHealth Interventions Targeting Persons With Poorly Controlled Type 2 Diabetes Mellitus Using the Behavior Change Techniques Taxonomy: Scoping Review.

Authors:  Mihiretu M Kebede; Tatjana P Liedtke; Tobias Möllers; Claudia R Pischke
Journal:  J Med Internet Res       Date:  2017-10-12       Impact factor: 5.428

  5 in total

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