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Continuous Glucose-Error Grid Analysis (CG-EGA)
A dynamic version of the Clarke error
grid
The CG-EGA is a Windows-based, statistical program designed for
use by the diabetes technology industry in the evaluation of
continuous glucose monitoring devices. It is a logical extension
of the original error grid analysis (EGA), which was developed
for assessing the clinical accuracy of patient-determined blood
glucose values using either estimation or self-monitoring blood
glucose systems and is based upon the premise that information
being generated by a monitoring system should be reliable enough
to result in clinically accurate decision making by the user.
The CG-EGA was originally designed by Drs. William Clarke and
Boris Kovatchev 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
CG-EGA Analysis
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Creates separate error grid zones for analyzing continuous
glucose sensor (CGS) clinical accuracy in terms of rate and
direction of blood glucose (BG) change.
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Displays both point and rate accuracy in error matrices for
determining the clinical accuracy of treatment decisions.
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Evaluates the accuracy of CGSs separately for each of the
following ranges:
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Hypoglycemia (BG ≤ 70 mg/dL),
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Euglycemia (70 mg/dL < BG ≤ 180 mg/dL), and
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Hyperglycemia (BG > 180 mg/dL)
The figure below is the exact output of the CG-EGA software. It
is important to note that the output for the CG-EGA does not
include any error grid graphs. This is the standard way of
presenting the results of the CG-EGA. Unlike the traditional
static Clarke Error Grid analysis, the results of the CG-EGA
cannot be summarized in a single scatterplot.
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
How to Order
References |
