Impact of Missing Data on the Accuracy of Glucose Metrics from Continuous Glucose Monitoring Assessed Over a 2-Week Period
Authors' conclusion
Both the degree and pattern of missing data impact upon the accuracy of recommended CGM-derived glycemic measures.
Study context
- Population
- 14-day (2-week) continuous glucose monitoring (CGM) data sets collected in a clinical trial
- Outcome
- Agreement between simulated and "true" glycemic measures (R2) under each missing-data scenario
- Follow-up
- 2-week period
Methodological detailssimulations of missing-data patterns vs complete data set, Proportion of missing data, block size and missing mechanism modified for each scenario
- Simulations of missing-data patterns vs complete data set
- Proportion of missing data, block size and missing mechanism modified for each scenario
Main finding
As reported in the abstract
Accuracy (R2) of CGM metrics with missing data
Representative 14-day data set for %TIR: at least 70% of CGM data available over at least 10 days
R2 > 0.9
Original publication
Impact of Missing Data on the Accuracy of Glucose Metrics from Continuous Glucose Monitoring Assessed Over a 2-Week Period. Diabetes Technol Ther. Published 21 February 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →