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Consensus Error Grid Analysis

Error grids evaluate CGM clinical accuracy by plotting sensor readings against reference values and categorizing deviations by clinical risk level.

Consensus Error Grid Analysis

Evaluating Clinical Accuracy

Error grids provide a visual and quantitative method to evaluate CGM accuracy beyond simple MARD calculations.

How Error Grids Work

CGM readings are plotted against reference blood glucose levels on a graph. The graph is divided into zones indicating the level of clinical risk.

The Five Zones

Zone A: Clinically Accurate

  • No risk
  • Minimal deviation
  • Values would lead to correct treatment decisions

Zone B: Benign Errors

  • Low risk
  • Slight deviation
  • Values would lead to benign or no treatment

Zone C: Overcorrection Zone

  • Moderate risk
  • More significant deviation
  • Values could lead to unnecessary treatment

Zone D: Failure to Detect

  • High risk
  • Large deviation
  • Values could lead to failure to detect hypo/hyperglycemia

Zone E: Dangerous

  • Extreme risk
  • Very large deviation
  • Values could lead to opposite treatment from needed

Regulatory Importance

FDA iCGM standards require specific percentages of readings to fall within Zones A and B for device approval.