Bridging the Continuous Glucose Monitoring decision gap: from glycaemic variability data to actionable stability in diabetes care - Takeaways - MDSpire

Bridging the Continuous Glucose Monitoring decision gap: from glycaemic variability data to actionable stability in diabetes care

  • By

  • Qingmei Wang

  • Fang Pan

  • Bowu Li

  • Xueen Liu

  • Jiale Zhang

  • May 29, 2026

  • 0 min

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  • 1

    The 2026 proposal introduces a three-stage model for type 2 diabetes based on β-cell function decline and continuous glucose monitoring metrics.

  • 2

    Barriers to effective diabetes management include metric overload, clinical inertia prioritizing hypoglycaemia avoidance, and lack of structured frameworks for CGM insights.

  • 3

    A pragmatic three-step closed-loop clinical model is proposed to address these barriers, focusing on sustainable glycaemic stability and stage-specific therapeutic responses.

  • 4

    The model emphasizes time in tight range (TITR) as a critical metric for assessing glycaemic stability, with specific thresholds for each disease stage.

  • 5

    Bridging the CGM decision gap requires prospective validation of targets and integration of decision-support tools into electronic health records.

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