Literature DB >> 18260770

Continuous glucose monitoring and diabetes health outcomes: a critical appraisal.

Gérard Reach1.   

Abstract

This paper presents a critical review of continuous glucose monitoring studies that address accuracy, utility in assessing glucose variability, detection of hypoglycemia for improved metabolic control or reduced glucose variability, impact on quality of life, reduced fear of hypoglycemia, and applicability in helping patients to overcome their reluctance to intensify insulin therapy. This analysis can be used to delineate the evidence that is still missing when considering continuous glucose monitoring as an established tool in clinical practice and for reimbursement of the system and services.

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Year:  2008        PMID: 18260770     DOI: 10.1089/dia.2007.0261

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  10 in total

1.  Effect of short-term use of a continuous glucose monitoring system with a real-time glucose display and a low glucose alarm on incidence and duration of hypoglycemia in a home setting in type 1 diabetes mellitus.

Authors:  Raymond J Davey; Timothy W Jones; Paul A Fournier
Journal:  J Diabetes Sci Technol       Date:  2010-11-01

2.  Treatment satisfaction and quality of life for an integrated continuous glucose monitoring/insulin pump system compared to self-monitoring plus an insulin pump.

Authors:  Richard R Rubin; Mark Peyrot
Journal:  J Diabetes Sci Technol       Date:  2009-11-01

3.  Improved glycemic control through continuous glucose sensor-augmented insulin pump therapy: prospective results from a community and academic practice patient registry.

Authors:  Ohad Cohen; Anna Körner; Rudolf Chlup; Christos S Zoupas; Anton K Ragozin; Krisztina Wudi; Dagmar Bartaskova; Aggelos Pappas; Tamás Niederland; Zoltán Taybani; Lubomir Barák; Andriani Vazeou
Journal:  J Diabetes Sci Technol       Date:  2009-07-01

Review 4.  Clinical need for continuous glucose monitoring in the hospital.

Authors:  Jeffrey I Joseph; Brian Hipszer; Boris Mraovic; Inna Chervoneva; Mark Joseph; Zvi Grunwald
Journal:  J Diabetes Sci Technol       Date:  2009-11-01

5.  Reducing glycaemic variability in type 1 diabetes self-management with a continuous glucose monitoring system based on wired enzyme technology.

Authors:  T Danne; H W de Valk; T Kracht; K Walte; R Geldmacher; L Sölter; W von dem Berge; Z K Welsh; J R Bugler; K Lange; O Kordonouri
Journal:  Diabetologia       Date:  2009-06-13       Impact factor: 10.122

Review 6.  Use of sensors in the treatment and follow-up of patients with diabetes mellitus.

Authors:  Isabel Torres; Maria G Baena; Manuel Cayon; Jose Ortego-Rojo; Manuel Aguilar-Diosdado
Journal:  Sensors (Basel)       Date:  2010-08-09       Impact factor: 3.576

7.  Backpropagation Neural Network-Based Machine Learning Model for Prediction of Blood Urea and Glucose in CKD Patients.

Authors:  Jivan Parab; Marlon Sequeira; Madhusudan Lanjewar; Caje Pinto; Gourish Naik
Journal:  IEEE J Transl Eng Health Med       Date:  2021-05-13       Impact factor: 3.316

8.  Glycosylated hemoglobin and albumin-corrected fructosamine are good indicators for glycemic control in peritoneal dialysis patients.

Authors:  Szu-Ying Lee; Yin-Cheng Chen; I-Chieh Tsai; Chung-Jen Yen; Shu-Neng Chueh; Hsueh-Fang Chuang; Hon-Yen Wu; Chih-Kang Chiang; Hui-Teng Cheng; Kuan-Yu Hung; Jenq-Wen Huang
Journal:  PLoS One       Date:  2013-03-04       Impact factor: 3.240

Review 9.  Minimizing hypoglycemia while maintaining glycemic control in diabetes.

Authors:  Simon R Heller
Journal:  Diabetes       Date:  2008-12       Impact factor: 9.461

Review 10.  Continuous Glucose Monitoring Systems: A Review.

Authors:  Sandeep Kumar Vashist
Journal:  Diagnostics (Basel)       Date:  2013-10-29
  10 in total

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