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Practical guidance for treatment of patients with diabetes using flash glucose monitoring: a pilot study

Overview of attention for article published in Diabetology & Metabolic Syndrome, August 2018
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Title
Practical guidance for treatment of patients with diabetes using flash glucose monitoring: a pilot study
Published in
Diabetology & Metabolic Syndrome, August 2018
DOI 10.1186/s13098-018-0364-z
Pubmed ID
Authors

Keiko Koide, Koichiro Azuma, Jun Nojima, Kenichiro Kodama, Yoshihito Atsumi

Abstract

Flash glucose monitoring (FGM) is a factory-calibrated, blood glucose measuring sensor system for patients with diabetes. We aimed to investigate the correlation between the sensor glucose (SG) value obtained using an FGM device and the traditional self-monitoring of blood glucose (SMBG) value. In 30 patients with diabetes under insulin treatment, SG and SMBG values were measured for 2 weeks, and the correlation between the values was analyzed. The mean number of accumulated measurements of SG values was 1223.2 ± 193.0, whereas that of the SMBG values was 49.2 ± 21.3. Although SG and SMBG values showed a favorable correlation (R 2  = 0.8413), SG values were lower than SMBG values by an average of 7.9 ± 29.8 mg/dL. The correlation patterns fell into four types: low type (SG values lower than SMBG values; n = 12), high type (SG values higher than SMBG values; n = 3), cross type (the slope of the two regression lines crossed at a certain measurement value; n = 14), and matching type (the values overlapped; n = 1). Recognition of the characteristic correlation patterns between SG and SMBG values is indispensable for certified diabetes educators to provide appropriate treatment guidance to patients with diabetes.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 18%
Student > Master 4 18%
Student > Bachelor 2 9%
Student > Doctoral Student 1 5%
Other 1 5%
Other 1 5%
Unknown 9 41%
Readers by discipline Count As %
Medicine and Dentistry 9 41%
Nursing and Health Professions 1 5%
Unspecified 1 5%
Computer Science 1 5%
Engineering 1 5%
Other 0 0%
Unknown 9 41%