Literature DB >> 24124954

Technical aspects of the Parkes error grid.

Andreas Pfützner1, David C Klonoff, Scott Pardo, Joan L Parkes.   

Abstract

BACKGROUND: The Parkes error grid, which was developed in 1994, presented performance zones for blood glucose (BG) monitors with borders that were not mathematically specified at the time the grid was published.
METHODS: In this article, we (1) review the history of the Parkes error grid, (2) present the never-before-published exact coordinates and specifications of the grid so that others may produce an exact replica of the original grid, and (3) discuss our suggestions how this metric should be applied.
RESULTS: The new ISO15197:2013 guideline for system accuracy assessment of BG meters for patient self-measurement incorporates use of this metric for defining acceptable accuracy of BG monitors. It is expected that, for regulatory purposes, this document will stipulate that the error grid version for type 1 diabetes should be applied with the caveat that only the A zone represents acceptable accuracy.
CONCLUSIONS: It remains to be seen by how much the new error grid, which is currently being developed by the Food and Drug Administration/Diabetes Technology Society/American Diabetes Association/The Endocrine Society/Association for Advancement of Medical Instrumentation, will deviate from the Parkers error grid.
© 2013 Diabetes Technology Society.

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Year:  2013        PMID: 24124954      PMCID: PMC3876371          DOI: 10.1177/193229681300700517

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  8 in total

1.  A new consensus error grid to evaluate the clinical significance of inaccuracies in the measurement of blood glucose.

Authors:  J L Parkes; S L Slatin; S Pardo; B H Ginsberg
Journal:  Diabetes Care       Date:  2000-08       Impact factor: 19.112

2.  The need for clinical accuracy guidelines for blood glucose monitors.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2012-01-01

Review 3.  Understanding error grid analysis.

Authors:  D J Cox; L A Gonder-Frederick; B P Kovatchev; D M Julian; W L Clarke
Journal:  Diabetes Care       Date:  1997-06       Impact factor: 19.112

4.  Reservations on the use of error grid analysis for the validation of blood glucose assays.

Authors:  D A Gough; E L Botvinick
Journal:  Diabetes Care       Date:  1997-06       Impact factor: 19.112

5.  Clinical assessment of the accuracy of blood glucose measurement devices.

Authors:  Andreas Pfützner; Michael Mitri; Petra B Musholt; Daniela Sachsenheimer; Marcus Borchert; Andrew Yap; Thomas Forst
Journal:  Curr Med Res Opin       Date:  2012-03-21       Impact factor: 2.580

6.  Evaluating clinical accuracy of systems for self-monitoring of blood glucose.

Authors:  W L Clarke; D Cox; L A Gonder-Frederick; W Carter; S L Pohl
Journal:  Diabetes Care       Date:  1987 Sep-Oct       Impact factor: 19.112

7.  Accuracy of plasma glucose measurements in the hypoglycemic range.

Authors:  P M Genter; E Ipp
Journal:  Diabetes Care       Date:  1994-06       Impact factor: 19.112

8.  Plasma glucose measurement with the Yellow Springs Glucose 2300 STAT and the Olympus AU640.

Authors:  P J Twomey
Journal:  J Clin Pathol       Date:  2004-07       Impact factor: 3.411

  8 in total
  30 in total

1.  Evaluation of System Accuracy of the GlucoMen LX Plus Blood Glucose Monitoring System With Reference to ISO 15197:2013.

Authors:  Andreas Pfützner; Filiz Demircik; Sanja Ramljak; Anke H Pfützner; Francesca Berti; Cosimo Scuffi; Francesco Valglimigli
Journal:  J Diabetes Sci Technol       Date:  2015-11-09

2.  Seven-Year Surveillance of the Clinical Performance of a Blood Glucose Test Strip Product.

Authors:  Steven Setford; Mike Grady; Stuart Phillips; Lesley Miller; Stephen Mackintosh; Hilary Cameron; Krisna Corrigall
Journal:  J Diabetes Sci Technol       Date:  2017-04-13

3.  The surveillance error grid.

Authors:  David C Klonoff; Courtney Lias; Robert Vigersky; William Clarke; Joan Lee Parkes; David B Sacks; M Sue Kirkman; Boris Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2014-06-13

4.  System Accuracy Assessment of a Blood Glucose Meter With Wireless Internet Access Associated With Unusual Hypoglycemia Patterns in Clinical Trials.

Authors:  Andreas Pfützner; Filiz Demircik; Valeria Kirsch; Johannes Pfützner; Stephanie Strobl; Mina Hanna; Jan Spatz; Anke H Pfützner
Journal:  J Diabetes Sci Technol       Date:  2019-04-11

5.  Device and Method for Noninvasive Glucose Assessment.

Authors:  Yosef Joseph Segman
Journal:  J Diabetes Sci Technol       Date:  2018-03-24

6.  Clarke Error Grid Analysis on Graph Paper and Microsoft Excel.

Authors:  Himel Mondal; Shaikat Mondal
Journal:  J Diabetes Sci Technol       Date:  2019-11-28

7.  Patient Satisfaction With a New, High Accuracy Blood Glucose Meter That Provides Personalized Guidance, Insight, and Encouragement.

Authors:  Laurence B Katz; Lorna Stewart; Brian Guthrie; Hilary Cameron
Journal:  J Diabetes Sci Technol       Date:  2019-08-02

8.  Characterizing accuracy and precision of glucose sensors and meters.

Authors:  David Rodbard
Journal:  J Diabetes Sci Technol       Date:  2014-07-18

9.  Evaluation of a New Noninvasive Glucose Monitoring Device by Means of Standardized Meal Experiments.

Authors:  Andreas Pfützner; Stephanie Strobl; Filiz Demircik; Lisa Redert; Johannes Pfützner; Anke H Pfützner; Alexander Lier
Journal:  J Diabetes Sci Technol       Date:  2018-02-16

10.  How Should Blood Glucose Meter System Analytical Performance Be Assessed?

Authors:  David A Simmons
Journal:  J Diabetes Sci Technol       Date:  2015-08-31
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