The Diabetes Technology Society Error Grid and Trend Accuracy Matrix for Glucose Monitors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023001%3A_____%2F24%3A00085354" target="_blank" >RIV/00023001:_____/24:00085354 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11110/24:10489412
Result on the web
<a href="https://journals.sagepub.com/doi/10.1177/19322968241275701" target="_blank" >https://journals.sagepub.com/doi/10.1177/19322968241275701</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1177/19322968241275701" target="_blank" >10.1177/19322968241275701</a>
Alternative languages
Result language
angličtina
Original language name
The Diabetes Technology Society Error Grid and Trend Accuracy Matrix for Glucose Monitors
Original language description
Introduction: An error grid compares measured versus reference glucose concentrations to assign clinical risk values to observed errors. Widely used error grids for blood glucose monitors (BGMs) have limited value because they do not also reflect clinical accuracy of continuous glucose monitors (CGMs). Methods: Diabetes Technology Society (DTS) convened 89 international experts in glucose monitoring to (1) smooth the borders of the Surveillance Error Grid (SEG) zones and create a user-friendly tool-the DTS Error Grid; (2) define five risk zones of clinical point accuracy (A-E) to be identical for BGMs and CGMs; (3) determine a relationship between DTS Error Grid percent in Zone A and mean absolute relative difference (MARD) from analyzing 22 BGM and nine CGM accuracy studies; and (4) create trend risk categories (1-5) for CGM trend accuracy. Results: The DTS Error Grid for point accuracy contains five risk zones (A-E) with straight-line borders that can be applied to both BGM and CGM accuracy data. In a data set combining point accuracy data from 18 BGMs, 2.6% of total data pairs equally moved from Zones A to B and vice versa (SEG compared with DTS Error Grid). For every 1% increase in percent data in Zone A, the MARD decreased by approximately 0.33%. We also created a DTS Trend Accuracy Matrix with five trend risk categories (1-5) for CGM-reported trend indicators compared with reference trends calculated from reference glucose. Conclusion: The DTS Error Grid combines contemporary clinician input regarding clinical point accuracy for BGMs and CGMs. The DTS Trend Accuracy Matrix assesses accuracy of CGM trend indicators.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
30202 - Endocrinology and metabolism (including diabetes, hormones)
Result continuities
Project
—
Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of diabetes science and technology
ISSN
1932-2968
e-ISSN
—
Volume of the periodical
18
Issue of the periodical within the volume
6
Country of publishing house
US - UNITED STATES
Number of pages
16
Pages from-to
1346-1361
UT code for WoS article
001348255900010
EID of the result in the Scopus database
2-s2.0-85205866150