Effectiveness of continuous glucose monitoring in maintaining glycaemic control among people with type 1 diabetes mellitus: a systematic review of randomised controlled trials and meta-analysis
- PMID: 35141761
- DOI: 10.1007/s00125-021-05648-4
Effectiveness of continuous glucose monitoring in maintaining glycaemic control among people with type 1 diabetes mellitus: a systematic review of randomised controlled trials and meta-analysis
Abstract
Aims/hypothesis: The aim of this work was to assess the effectiveness of continuous glucose monitoring (CGM) vs self-monitoring of blood glucose (SMBG) in maintaining glycaemic control among people with type 1 diabetes mellitus.
Methods: Cochrane Library, PubMed, Embase, CINAHL, Scopus, trial registries and grey literature were searched from 9 June 2011 until 22 December 2020 for RCTs comparing CGM intervention against SMBG control among the non-pregnant individuals with type 1 diabetes mellitus of all ages and both sexes on multiple daily injections or continuous subcutaneous insulin infusion with HbA1c levels, severe hypoglycaemia and diabetic ketoacidosis (DKA) as outcomes. Studies also included any individual or caregiver-led CGM systems. Studies involving GlucoWatch were excluded. Risk of bias was appraised with Cochrane risk of bias tool. Meta-analysis and meta-regression were performed using Review Manager software and R software, respectively. Heterogeneity was evaluated using χ2 and I2 statistics. Overall effects and certainty of evidence were evaluated using Z statistic and GRADE (Grading of Recommendations, Assessment, Development and Evaluation) software.
Results: Twenty-two studies, involving 2188 individuals with type 1 diabetes, were identified. Most studies had low risk of bias. Meta-analysis of 21 studies involving 2149 individuals revealed that CGM significantly decreased HbA1c levels compared with SMBG (mean difference -2.46 mmol/mol [-0.23%] [95% CI -3.83, -1.08], Z = 3.50, p=0.0005), with larger effects experienced among higher baseline HbA1c >64 mmol/mol (>8%) individuals (mean difference -4.67 mmol/mol [-0.43%] [95% CI -6.04, -3.30], Z = 6.69, p<0.00001). However, CGM had no influence on the number of severe hypoglycaemia (p=0.13) and DKA events (p=0.88). Certainty of evidence was moderate.
Conclusions/interpretation: CGM is superior to SMBG in improving glycaemic control among individuals with type 1 diabetes in the community, especially in those with uncontrolled glycaemia. Individuals with type 1 diabetes with HbA1c >64 mmol/mol (>8%) are most likely to benefit from CGM. Current findings could not confer a concrete conclusion on the effectiveness of CGM on DKA outcome as DKA incidences were rare. Current evidence is also limited to outpatient settings. Future research should evaluate the accuracy of CGM and the effectiveness of CGM across different age groups and insulin regimens as these remain unclear in this paper.
Prospero registration: Registration no. CRD42020207042.
Funding: This research received no specific grant from any funding agency in the public, commercial or not-for-profit sectors.
Keywords: Continuous glucose monitoring; Glycaemic control; Meta-analysis; Self-monitoring of blood glucose; Systematic review; Type 1 diabetes.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
Comment in
-
Continuous glucose monitoring and hypoglycaemia events: unmet needs.Diabetologia. 2022 Sep;65(9):1569-1570. doi: 10.1007/s00125-022-05739-w. Epub 2022 Jun 23. Diabetologia. 2022. PMID: 35736992 No abstract available.
-
Continuous glucose monitoring and hypoglycaemia events: unmet needs. Reply to Papaioannou TG, Snoudou D and Tsiofis C [letter].Diabetologia. 2022 Sep;65(9):1571. doi: 10.1007/s00125-022-05740-3. Epub 2022 Jun 24. Diabetologia. 2022. PMID: 35739277 No abstract available.
References
-
- Tuomilehto J (2013) The emerging global epidemic of type 1 diabetes. Curr Diabetes Rep 13(6):795–804. https://doi.org/10.1007/s11892-013-0433-5 - DOI
-
- Tao B, Pietropaolo M, Atkinson M, Schatz D, Taylor D (2010) Estimating the cost of type 1 diabetes in the U.S.: a propensity score matching method. PLoS One 5(7):Article e11501. https://doi.org/10.1371/journal.pone.0011501 - DOI - PubMed
-
- Sussman M, Benner J, Haller MJ, Rewers M, Griffiths R (2020) Estimated lifetime economic burden of type 1 diabetes. Diabetes Technol Ther 22(2):121–130. https://doi.org/10.1089/dia.2019.0398 - DOI - PubMed
-
- Secrest AM, Washington RE, Orchard TJ. Mortality in Type 1 Diabetes. In: Cowie CC, Casagrande SS, Menke A, et al, editors. Diabetes in America. 3rd edition. Bethesda (MD): National Institute of Diabetes and Digestive and Kidney Diseases (US); 2018 Aug. CHAPTER 35. Available from: https://www.ncbi.nlm.nih.gov/books/NBK567986/
-
- Nathan DM, Genuth S, Lachin J et al (1993) The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med 329(14):977–986. https://doi.org/10.1056/nejm199309303291401 - DOI - PubMed
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous
