Literature DB >> 30095980

The Effectiveness of Continuous Glucose Monitoring in Patients with Type 2 Diabetes: A Systematic Review of Literature and Meta-analysis.

Cindy Park1, Quang A Le1.   

Abstract

BACKGROUND: Continuous glucose monitoring (CGM) provides glucose trend information that can be used to guide treatment and motivate patients with diabetes. Currently, the evidence on effectiveness of CGM in patients with type 2 diabetes is debatable. We aim to provide a systematic review and meta-analysis to synthesize current evidence of effectiveness of CGM in adults with type 2 diabetes.
MATERIALS AND METHODS: Cochrane, Embase, PubMed, and Web of Science were searched to include all studies that reported effectiveness of CGM in terms of HbA1c in adults aged 18 and older, with type 2 diabetes, on any treatment for diabetes. Heterogeneity (I2) was used to determine the variability between studies. All data were analyzed using Review Manager 5.3 software.
RESULTS: Seven randomized controlled trials and three cohort studies, involving 1384 patients for real-time CGM (RT-CGM) and professional CGM (P-CGM) and 4902 patients for flash glucose monitoring (FGM), were included. RT-CGM and P-CGM were associated with a modest but statistically significant reduction in HbA1c of 0.20% (95% confidence interval [CI] -0.31 to -0.09) compared with control. Patients who received FGM had a nonsignificant reduction of 0.02% (95% CI -0.07 to 0.04) compared with control. The meta-analysis indicated a low heterogeneity between studies.
CONCLUSION: Our analysis of current evidence suggests that RT-CGM and P-CGM are effective in improving HbA1c in adults with type 2 diabetes. Due to insufficient evidence, it is premature to form conclusions on the effectiveness of FGM. Future multicenter trials accessing the effectiveness of CGM as well as safety and cost-effectiveness may be necessary.

Entities:  

Keywords:  Ambulatory glucose profile; Continuous glucose monitoring; Diabetes mellitus; Flash glucose monitoring; Meta-analysis; Systematic review

Mesh:

Substances:

Year:  2018        PMID: 30095980     DOI: 10.1089/dia.2018.0177

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


  23 in total

1.  Continuous Glucose Monitoring in General Wards for Prevention of Hypoglycemia: Results From the Glucose Telemetry System Pilot Study.

Authors:  Lakshmi G Singh; David L Levitt; Medha Satyarengga; Lillian Pinault; Min Zhan; John D Sorkin; Jeffrey C Fink; Guillermo E Umpierrez; Elias K Spanakis
Journal:  J Diabetes Sci Technol       Date:  2019-11-28

2.  Diabetes and Technology in the Covid-19 Pandemic Crisis.

Authors:  Elias K Spanakis
Journal:  J Diabetes Sci Technol       Date:  2020-05-27

3.  Predictive Glucose Trends From Continuous Glucose Monitoring: Friend or Foe in Clinical Decision Making?

Authors:  Kathryn Fantasia; Katherine Modzelewski; Devin Steenkamp
Journal:  J Diabetes Sci Technol       Date:  2019-01-13

4.  Accuracy of a 14-Day Factory-Calibrated Continuous Glucose Monitoring System With Advanced Algorithm in Pediatric and Adult Population With Diabetes.

Authors:  Shridhara Alva; Timothy Bailey; Ronald Brazg; Erwin S Budiman; Kristin Castorino; Mark P Christiansen; Gregory Forlenza; Mark Kipnes; David R Liljenquist; Hanqing Liu
Journal:  J Diabetes Sci Technol       Date:  2020-09-19

5.  Analysis of "Accuracy of a 14-Day Factory Calibrated Continuous Glucose Monitoring System With Advanced Algorithm in Pediatric and Adult Population With Diabetes".

Authors:  Tejaswi Kompala; Aaron B Neinstein
Journal:  J Diabetes Sci Technol       Date:  2020-10-21

6.  Virtual visits and the use of continuous glucose monitoring for diabetes care in the era of COVID-19.

Authors:  Patricia Underwood; Jennifer Hibben; Jolynn Gibson; Monica DiNardo
Journal:  J Am Assoc Nurse Pract       Date:  2021-12-14       Impact factor: 1.165

7.  Continuous Glucose Monitoring for Underserved and Minority Patients with Type 2 Diabetes in an Interprofessional Internal Medicine Clinic.

Authors:  Arden Bui; Jennifer Kim
Journal:  Innov Pharm       Date:  2020-12-03

8.  Introducing the Continuous Glucose Data Analysis (CGDA) R Package: An Intuitive Package to Analyze Continuous Glucose Monitoring Data.

Authors:  Ilias Attaye; Eduard W J van der Vossen; Diogo N Mendes Bastos; Max Nieuwdorp; Evgeni Levin
Journal:  J Diabetes Sci Technol       Date:  2022-01-19

Review 9.  Improving patient self-care using diabetes technologies.

Authors:  Valeria Alcántara-Aragón
Journal:  Ther Adv Endocrinol Metab       Date:  2019-01-28       Impact factor: 3.565

10.  Increased Hemoglobin A1c Time in Range Reduces Adverse Health Outcomes in Older Adults With Diabetes.

Authors:  Julia C Prentice; David C Mohr; Libin Zhang; Donglin Li; Aaron Legler; Richard E Nelson; Paul R Conlin
Journal:  Diabetes Care       Date:  2021-06-14       Impact factor: 17.152

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