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Static Glucose-Error Grid Analysis (SG-EGA)
The SG-EGA (Clarke Error Grid Analysis) is a
Windows-based, statistical program designed for use by
the diabetes technology industry in the evaluation of
continuous glucose monitoring devices.
Clarke Error Grid Analysis is a method for evaluating
the clinical accuracy of blood glucose meters. Its
underlying clinical decision model is that blood glucose
levels <70 mg/dL should be raised, levels of 70-180 mg/dL
maintained, and levels >180 mg/dL lowered for best
glycemic management. Its analysis is based on the
premise that a blood glucose meter is acceptable to the
extent that it can be used to make clinically correct
decisions. Paired blood glucose measurements, one from a
laboratory reference analyzer and the other from a
hand-held blood glucose meter, are evaluated and placed
in one of five zones, based on a comparison of the
clinical decisions that would be made using the blood
glucose meter vs. the laboratory reference.
The SG-EGA was originally designed by Dr. William Clarke
at the University of Virginia in Charlottesville, VA,
USA and is now licensed to Epsilon for distribution.
 Features
Data Management
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Integrated spreadsheet with
unlimited number of rows.
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Correct handling of missing
data.
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Imports plain text format.
Documentation
System Requirements
How to Order
References
Boris P. Kovatchev, Linda A. Gonder-Frederick, Daniel J. Cox,
and William L. Clarke. Evaluating the Accuracy of Continuous
Glucose-Monitoring Sensors: Continuous glucose-error grid
analysis illustrated by TheraSense Freestyle Navigator data.
Diabetes Care 2004;27:1922-1928.
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Features
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References |
