Biases in Glucose Metrics Are Directly Related to Low Coverage of Continuous Glucose Monitoring: Insights from Diverse Populations
Authors' conclusion
Our analysis shows that higher daily sensor coverage is significantly associated with higher daily TIR, suggesting that missing CGM data may be missing not-at-random.
Study context
- Population
- Clinical study participants and real-world data from people with T1D or T2D treated with MDI, closed-loop systems or basal-only insulin regimensover 35 million continuous glucose monitoring (CGM) days
- Participants
- over 97,000 participants
- Outcome
- Association between CGM data coverage and glycemic metrics
Methodological detailsclinical study and real-world data
- Clinical study and real-world data
Main finding
As reported in the abstract
- Days with low coverage
- 6.4%-10.1%
- Low coverage associated with lower time in range (TIR) across sources
- P < 0.001
- Within-person increase in mean daily TIR per 1% increase in coverage
- 0.07%-0.13% (P < 0.001)
Observational data: associations, not effects.
Original publication
Biases in Glucose Metrics Are Directly Related to Low Coverage of Continuous Glucose Monitoring: Insights from Diverse Populations. Diabetes Technol Ther. Published 8 November 2025. doi:10.
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