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Beyond HbA1c: A CGM-centred three-pillar framework for glycaemic variability in pre-diabetes and type 2 diabetes
Taoming Qian1, Donghao Guo2, Meijun Zhang3
1Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China.
Insights
Glycaemic variability (GV) management using continuous glucose monitoring (CGM) offers a new approach for type 2 diabetes and pre-diabetes. This precision-guided care improves outcomes and supports remission.
Area of Science:
- Endocrinology
- Metabolic Diseases
- Diabetes Management
Background:
- Traditional type 2 diabetes mellitus (T2DM) management focuses on HbA1c, overlooking glycaemic variability (GV).
- GV independently drives complications like β-cell dysfunction and cardiovascular risk, even in pre-diabetes.
- Existing reviews often focus narrowly on T2DM or HbA1c-centric strategies.
Purpose of the Study:
- To present a unified, three-pillar closed-loop framework for managing glycaemic stability.
- To integrate continuous glucose monitoring (CGM) across the pre-diabetes to remission continuum.
- To highlight GV as a modifiable therapeutic target.
Main Methods:
- Synthesis of evidence from prospective cohorts, mechanistic studies, and randomized controlled trials.
- Analysis of real-world data on CGM-guided interventions.
- Development of a three-pillar framework: tiered personalized targets, data-driven decision support, and patient-clinician collaboration.
Main Results:
- Glycaemic variability (GV) is a modifiable therapeutic target.
- CGM reveals dynamic glucose patterns missed by HbA1c.
- Interventions improve time in range (TIR), reduce GV and hypoglycemia, and aid clinical remission.
Conclusions:
- CGM-centered management represents a paradigm shift towards dynamic, precision-guided care.
- The proposed framework offers a structured roadmap for managing glycaemic stability.
- Future research should focus on long-term outcomes, cost-effectiveness, and global accessibility.
Background:
Traditional management of type 2 diabetes mellitus (T2DM) and pre-diabetes centres on HbA1c reduction, yet this single metric fails to capture glycaemic variability (GV)-an independent driver of β-cell dysfunction, endothelial damage, oxidative stress, inflammation and cardiovascular risk, even in the pre-diabetes stage. Unlike existing reviews that focus predominantly on T2DM or HbA1c-centric approaches, this perspective articulates a unified three-pillar closed-loop framework that integrates continuous glucose monitoring (CGM) across the entire pre-diabetes-to-remission continuum.
Perspective:
We synthesize evidence from prospective cohorts, mechanistic studies, randomized controlled trials and real-world data to demonstrate that GV is a modifiable therapeutic target. CGM uniquely reveals dynamic glucose patterns invisible to HbA1c, enabling precise, real-time interventions that improve time in range (TIR), reduce GV and hypoglycaemia and support the achievement of clinical remission (HbA1c <48 mmol/mol (<6.5%) without glucose-lowering medication for ≥3 months) in subsets of patients.
Conclusions:
CGM-centred management of glycaemic stability offers a clinically actionable paradigm shift from static, average-glucose control to dynamic, precision-guided care. The proposed three-pillar framework-tiered personalized targets, data-driven intelligent decision support and empowered patient-clinician collaboration-provides a structured roadmap grounded in current evidence. Long-term outcomes in pre-diabetes, cost-effectiveness and global accessibility remain important areas for future investigation.
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