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Published on: February 24, 2023
Comment on "Identifying high glucose variability using non-glycemic factors in low continuous glucose monitoring use
1The Fourth Affiliated Hospital of Southwest Medical University, Sichuan, China.
Insights
This study questions the reliability of non-continuous glucose monitoring (CGM) indicators for glycemic variability in type 2 diabetes. It highlights inconsistencies and calls for clearer methods to aid in developing effective treatment strategies.
Area of Science:
- Endocrinology
- Diabetes Mellitus Research
- Clinical Indicators
Background:
- Continuous glucose monitoring (CGM) systems are crucial for assessing glycemic variability.
- Low utilization rates of CGM necessitate reliable non-CGM clinical indicators.
- Glycemic variability significantly impacts type 2 diabetes management.
Abstract:
This Letter to the Editor critically evaluates the non-CGM-related clinical indicators of glycemic variability (%CV ≥36%) in type 2 diabetes patients reported by Chandran et al., given the low utilization rate of continuous glucose monitoring (CGM) systems. It points out several inconsistencies in definitions and numerical values (including the coefficient of variation calculation formula, summary metrics, confidence intervals, and chart interpretation). Furthermore, clarifying the model specifications and reporting methods would improve the reproducibility of the study and facilitate its application in developing CGM-prioritized treatment strategies.
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