1. Diabetic peripheral neuropathy and glycemic variability assessed by continuous glucose monitoring: A systematic review and meta-analysis.
- Author
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Jia Y, Long D, Yang Y, Wang Q, Wu Q, and Zhang Q
- Subjects
- Humans, Continuous Glucose Monitoring, Diabetic Neuropathies epidemiology, Diabetic Neuropathies blood, Diabetic Neuropathies diagnosis, Diabetic Neuropathies etiology, Blood Glucose analysis, Blood Glucose metabolism, Diabetes Mellitus, Type 1 complications, Diabetes Mellitus, Type 1 blood, Blood Glucose Self-Monitoring, Diabetes Mellitus, Type 2 blood, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 epidemiology
- Abstract
Continuous glucose monitoring (CGM)-derived metrics have been used to accurately assess glycemic variability (GV) to facilitate management of diabetes mellitus, yet their relationship with diabetic peripheral neuropathy (DPN) is not fully understood. We performed a systematic review and meta-analysis to evaluate the association between GV metrics and the risk of developing DPN. Nine studies totaling 3,649 patients with type 1 and type 2 diabetes mellitus were included. A significant association was found between increased GV, as indicated by metrics including standard deviation (SD) with OR and 95% CI of 2.58 (1.45-4.57), mean amplitude of glycemic excursions (MAGE) with OR and 95% CI of 1.90 (1.01-3.58), mean of daily difference (MODD) with OR and 95% CI of 2.88 (2.17-3.81) and the incidence of DPN. Our findings support a link between higher GV and an increased risk of DPN in patients with diabetes. These findings highlight the potential of GV metrics as indicators for the development of DPN, advocating for their inclusion in diabetes management strategies to potentially mitigate neuropathy risk. Longitudinal studies with longer observation periods and larger sample sizes are necessary to validate these associations across diverse populations., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)
- Published
- 2024
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