Literature DB >> 29648465

Continuous Glucose Monitoring (CGM) or Blood Glucose Monitoring (BGM): Interactions and Implications.

Lutz Heinemann1.   

Abstract

At the 2017 10th annual International Conference on Advanced Technologies and Treatments for Diabetes (ATTD) in Paris, France, four speakers presented their perspectives on the roles of continuous glucose monitoring (CGM) and of blood glucose monitoring (BGM) in patient management within one symposium. These presentations included discussions of the differences in the accuracy of CGM and BGM, a clinical perspective on the physiological reasons behind differences in CGM and BGM values, and an overview of the impact of variations in device accuracy on patients with diabetes. Subsequently a short summary of these presentations is given, highlighting the value of good accuracy of BGM or CGM systems and the ongoing need for standardization. The important role of both BGM and CGM in patient management was a theme across all presentations.

Entities:  

Keywords:  blood glucose monitoring; continuous glucose monitoring

Mesh:

Substances:

Year:  2018        PMID: 29648465      PMCID: PMC6134292          DOI: 10.1177/1932296818768834

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  12 in total

1.  Impact of blood glucose self-monitoring errors on glucose variability, risk for hypoglycemia, and average glucose control in type 1 diabetes: an in silico study.

Authors:  Marc D Breton; Boris P Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2010-05-01

2.  Real-life utilization of real-time continuous glucose monitoring: the complete picture.

Authors:  Neesha Ramchandani; Sandeep Arya; Svetlana Ten; Sonal Bhandari
Journal:  J Diabetes Sci Technol       Date:  2011-07-01

3.  Significance and Reliability of MARD for the Accuracy of CGM Systems.

Authors:  Florian Reiterer; Philipp Polterauer; Michael Schoemaker; Guenther Schmelzeisen-Redecker; Guido Freckmann; Lutz Heinemann; Luigi Del Re
Journal:  J Diabetes Sci Technol       Date:  2016-09-25

4.  Frequency of blood glucose monitoring in relation to glycaemic control: observational study with diabetes database.

Authors:  J M Evans; R W Newton; D A Ruta; T M MacDonald; R J Stevenson; A D Morris
Journal:  BMJ       Date:  1999-07-10

Review 5.  Personal continuous glucose monitoring (CGM) in diabetes management: review of the literature and implementation for practical use.

Authors:  M Joubert; Y Reznik
Journal:  Diabetes Res Clin Pract       Date:  2011-12-28       Impact factor: 5.602

6.  Perceived accuracy in continuous glucose monitoring: understanding the impact on patients.

Authors:  William H Polonsky; Danielle Hessler
Journal:  J Diabetes Sci Technol       Date:  2014-11-10

7.  Real-time continuous glucose monitoring in type 1 diabetes: a qualitative framework analysis of patient narratives.

Authors:  John C Pickup; Melissa Ford Holloway; Kritika Samsi
Journal:  Diabetes Care       Date:  2014-12-31       Impact factor: 19.112

8.  HOW PATIENTS WITH TYPE 1 DIABETES TRANSLATE CONTINUOUS GLUCOSE MONITORING DATA INTO DIABETES MANAGEMENT DECISIONS.

Authors:  Jeremy Pettus; David A Price; Steven V Edelman
Journal:  Endocr Pract       Date:  2015-02-25       Impact factor: 3.443

9.  The Quantitative Relationship Between ISO 15197 Accuracy Criteria and Mean Absolute Relative Difference (MARD) in the Evaluation of Analytical Performance of Self-Monitoring of Blood Glucose (SMBG) Systems.

Authors:  Scott Pardo; David A Simmons
Journal:  J Diabetes Sci Technol       Date:  2016-08-22

10.  Evidence of a strong association between frequency of self-monitoring of blood glucose and hemoglobin A1c levels in T1D exchange clinic registry participants.

Authors:  Kellee M Miller; Roy W Beck; Richard M Bergenstal; Robin S Goland; Michael J Haller; Janet B McGill; Henry Rodriguez; Jill H Simmons; Irl B Hirsch
Journal:  Diabetes Care       Date:  2013-02-01       Impact factor: 19.112

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  3 in total

1.  Clinical Study of a High Accuracy Green Design Blood Glucose Monitor Using an Innovative Optical Transmission Absorbance System.

Authors:  Takeyuki Moriuchi; Yuto Otaki; Hiroya Satou; Fumihiko Chai; Yuma Hayashida; Ryokei Aikawa; Takayuki Sugiyama; Koji Sode
Journal:  J Diabetes Sci Technol       Date:  2021-12-10

2.  Diabetes Technology Meeting 2020.

Authors:  Trisha Shang; Jennifer Y Zhang; B Wayne Bequette; Jennifer K Raymond; Gerard Coté; Jennifer L Sherr; Jessica Castle; John Pickup; Yarmela Pavlovic; Juan Espinoza; Laurel H Messer; Tim Heise; Carlos E Mendez; Sarah Kim; Barry H Ginsberg; Umesh Masharani; Rodolfo J Galindo; David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2021-07

Review 3.  Lessons from Use of Continuous Glucose Monitoring Systems in Digital Healthcare.

Authors:  Hun-Sung Kim; Kun-Ho Yoon
Journal:  Endocrinol Metab (Seoul)       Date:  2020-09-22
  3 in total

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