Literature DB >> 23422244

Continuous glucose monitors: current status and future developments.

Jennifer E Lane1, Joseph P Shivers, Howard Zisser.   

Abstract

PURPOSE OF REVIEW: Advances in diabetes technologies allow patients to manage their diabetes with greater precision and flexibility. Many recent studies show that continuous glucose monitors (CGMs) can be used to tighten glycemic control safely and to ease certain burdens of diabetes self-management. RECENT
FINDINGS: The following summary reflects the most recent findings in CGM and provides an overall review of who would most benefit from CGM use. Benefits of CGM may vary based on age, type of diabetes, pregnancy, health, sleep, or heart rate. Accuracy and reliability are critical in current uses of CGM and especially for new and future systems that automate insulin partially (e.g., low glucose suspend) or entirely (e.g., 'fully closed-loop' artificial pancreas). Clinicians are simultaneously testing available products in new patient groups such as the critically ill and type 2 diabetes patients not using mealtime insulin.
SUMMARY: In a widening set of circumstances, use of CGM has been shown to promote safer and more effective glycemic control than self-monitoring of blood glucose. Imperfections remain in certain scenarios such as hypoglycemia and in certain populations such as young children. Ongoing research on sensors and calibration software should translate to better systems.

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Year:  2013        PMID: 23422244     DOI: 10.1097/MED.0b013e32835edb9d

Source DB:  PubMed          Journal:  Curr Opin Endocrinol Diabetes Obes        ISSN: 1752-296X            Impact factor:   3.243


  13 in total

1.  Physical activity measured by physical activity monitoring system correlates with glucose trends reconstructed from continuous glucose monitoring.

Authors:  Chiara Zecchin; Andrea Facchinetti; Giovanni Sparacino; Chiara Dalla Man; Chinmay Manohar; James A Levine; Ananda Basu; Yogish C Kudva; Claudio Cobelli
Journal:  Diabetes Technol Ther       Date:  2013-08-14       Impact factor: 6.118

2.  Evaluation of stochastic adjustment for glucose sensor bias during closed-loop insulin delivery.

Authors:  Craig Kollman; Peter Calhoun; John Lum; Werner Sauer; Roy W Beck
Journal:  Diabetes Technol Ther       Date:  2013-11-15       Impact factor: 6.118

3.  Designing an artificial pancreas architecture: the AP@home experience.

Authors:  Giordano Lanzola; Chiara Toffanin; Federico Di Palma; Simone Del Favero; Lalo Magni; Riccardo Bellazzi
Journal:  Med Biol Eng Comput       Date:  2014-11-28       Impact factor: 2.602

4.  Diabetes and Prediabetes Classification Using Glycemic Variability Indices From Continuous Glucose Monitoring Data.

Authors:  Giada Acciaroli; Giovanni Sparacino; Liisa Hakaste; Andrea Facchinetti; Giorgio Maria Di Nunzio; Alessandro Palombit; Tiinamaija Tuomi; Rafael Gabriel; Jaime Aranda; Saturio Vega; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2017-06-01

Review 5.  Advances in management of type 1 diabetes mellitus.

Authors:  Ravindranath Aathira; Vandana Jain
Journal:  World J Diabetes       Date:  2014-10-15

Review 6.  Biosensors for the Diagnosis of Celiac Disease: Current Status and Future Perspectives.

Authors:  Katharina Anne Scherf; Rachele Ciccocioppo; Miroslav Pohanka; Kvetoslava Rimarova; Radka Opatrilova; Luis Rodrigo; Peter Kruzliak
Journal:  Mol Biotechnol       Date:  2016-06       Impact factor: 2.695

7.  Exploring the Frequency Domain of Continuous Glucose Monitoring Signals to Improve Characterization of Glucose Variability and of Diabetic Profiles.

Authors:  Giuseppe Fico; Liss Hernández; Jorge Cancela; Miguel María Isabel; Andrea Facchinetti; Chiara Fabris; Rafael Gabriel; Claudio Cobelli; María Teresa Arredondo Waldmeyer
Journal:  J Diabetes Sci Technol       Date:  2017-01-09

8.  P4 medicine: how systems medicine will transform the healthcare sector and society.

Authors:  Mauricio Flores; Gustavo Glusman; Kristin Brogaard; Nathan D Price; Leroy Hood
Journal:  Per Med       Date:  2013       Impact factor: 2.512

Review 9.  Developmental changes in the roles of patients and families in type 1 diabetes management.

Authors:  Jessica T Markowitz; Katharine C Garvey; Lori M B Laffel
Journal:  Curr Diabetes Rev       Date:  2015

10.  Design of the Glucose Rate Increase Detector: A Meal Detection Module for the Health Monitoring System.

Authors:  Rebecca A Harvey; Eyal Dassau; Howard Zisser; Dale E Seborg; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2014-03-13
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