Another evaluation method used in clinical studies to represent device accuracy data. The MARD (Mean Absolute Relative Difference) measures the average difference between a device measurement (or test result) and the reference measurement at normal to high glucose levels. The lower the MARD, the better the agreement between the device and the reference/comparator measurement. Excellent accuracy on the first day (MARD is 10% for adults and 10.7% for pediatrics) - Sensor readings closer to blood glucose readings  - Even better overall accuracy for the entire wear period (99.9% of readings in Zones A and B and MARD is 9.2% for adults, and 100% of readings in Zones A and B and MARD is 9.7% for pediatrics). The accuracy was achieved without finger prick calibration or any calibration code entry.¹

Reference

1. Alva S, Bailey T, Brazg R, et al. Accuracy of a 14-Day Factory-Calibrated Continuous Glucose Monitoring System With Advanced Algorithm in Pediatric and Adult Population With Diabetes. J Diabetes Sci Technol. 2022;16(1):70-77.