Literature DB >> 26330393

How Should Blood Glucose Meter System Analytical Performance Be Assessed?

David A Simmons1.   

Abstract

Blood glucose meter system analytical performance is assessed by comparing pairs of meter system and reference instrument blood glucose measurements measured over time and across a broad array of glucose values. Consequently, no single, complete, and ideal parameter can fully describe the difference between meter system and reference results. Instead, a number of assessment tools, both graphical (eg, regression plots, modified Bland-Altman plots, and error grid analysis) and tabular (eg, International Organization for Standardization guidelines, mean absolute difference, and mean absolute relative difference) have been developed to evaluate meter system performance. The strengths and weaknesses of these methods of presenting meter system performance data, including a new method known as Radar Plots, are described here.
© 2015 Diabetes Technology Society.

Entities:  

Keywords:  accuracy; blood glucose monitoring system; performance; precision

Mesh:

Substances:

Year:  2015        PMID: 26330393      PMCID: PMC4738212          DOI: 10.1177/1932296815598599

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


  14 in total

1.  Fundamental Importance of Reference Glucose Analyzer Accuracy for Evaluating the Performance of Blood Glucose Monitoring Systems (BGMSs).

Authors:  Timothy S Bailey; Leslie J Klaff; Jane F Wallace; Carmine Greene; Scott Pardo; Bern Harrison; David A Simmons
Journal:  J Diabetes Sci Technol       Date:  2016-06-28

2.  Technical aspects of the Parkes error grid.

Authors:  Andreas Pfützner; David C Klonoff; Scott Pardo; Joan L Parkes
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

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Authors:  D Stöckl; K Dewitte; L M Thienpont
Journal:  Clin Chem       Date:  1998-11       Impact factor: 8.327

4.  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

5.  Importance of blood glucose meter and carbohydrate estimation accuracy.

Authors:  Naunihal S Virdi; John J Mahoney
Journal:  J Diabetes Sci Technol       Date:  2012-07-01

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.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

8.  Accuracy evaluation of five blood glucose monitoring systems obtained from the pharmacy: a European multicenter study with 453 subjects.

Authors:  Cornelius Tack; Harald Pohlmeier; Thomas Behnke; Volkmar Schmid; Marco Grenningloh; Thomas Forst; Andreas Pfützner
Journal:  Diabetes Technol Ther       Date:  2011-12-16       Impact factor: 6.118

9.  The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus.

Authors:  D M Nathan; S Genuth; J Lachin; P Cleary; O Crofford; M Davis; L Rand; C Siebert
Journal:  N Engl J Med       Date:  1993-09-30       Impact factor: 91.245

10.  Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group.

Authors: 
Journal:  Lancet       Date:  1998-09-12       Impact factor: 79.321

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  11 in total

1.  Evaluation of the Abbot FreeStyle Optium Neo H blood glucose meter in the hyperbaric oxygen environment.

Authors:  Carol R Baines; P David Cooper; Geraldine A O'Rourke; Charne Miller
Journal:  Diving Hyperb Med       Date:  2020-06-30       Impact factor: 0.887

2.  Analysis of "Capillary and Venous Blood Glucose Accuracy in Blood Glucose Meters Versus Reference Standards: The Impact of Study Design on Accuracy Evaluations".

Authors:  Gary H Thorpe
Journal:  J Diabetes Sci Technol       Date:  2018-09-15

3.  Performance of a Blood Glucose Monitoring System in a Point-of-Care Setting.

Authors:  Cornelia Ottiger; Nicole Gygli; Andreas R Huber; Beatriz Fernandez-Tresguerres; Scott Pardo; Thorsten Petruschke
Journal:  J Diabetes Sci Technol       Date:  2016-06-28

4.  Accuracy Evaluation of 19 Blood Glucose Monitoring Systems Manufactured in the Asia-Pacific Region: A Multicenter Study.

Authors:  Wang Yu-Fei; Jia Wei-Ping; Wu Ming-Hsun; Chien Miao-O; Hsieh Ming-Chang; Wang Chi-Pin; Lee Ming-Shih
Journal:  J Diabetes Sci Technol       Date:  2017-05-08

5.  Using Radar Plots to Demonstrate the Accuracy and Precision of 6 Blood Glucose Monitoring Systems.

Authors:  Scott Pardo; Nancy Dunne; David A Simmons
Journal:  J Diabetes Sci Technol       Date:  2017-06-12

6.  The Quantitative Relationship Between ISO 15197 Accuracy Criteria and Mean Absolute Relative Difference (MARD) in the Evaluation of Analytical Performance of Self-Monitoring of Blood Glucose (SMBG) Systems.

Authors:  Scott Pardo; David A Simmons
Journal:  J Diabetes Sci Technol       Date:  2016-08-22

7.  Bedside Glucose Monitoring-Is it Safe? A New, Regulatory-Compliant Risk Assessment Evaluation Protocol in Critically Ill Patient Care Settings.

Authors:  Jeffrey Anton DuBois; Robbert Jan Slingerland; Marion Fokkert; Alain Roman; Nam Khoa Tran; William Clarke; David Alan Sartori; Tina Louise Palmieri; Andrei Malic; Martha Elizabeth Lyon; Andrew William Lyon
Journal:  Crit Care Med       Date:  2017-04       Impact factor: 7.598

8.  User Performance Evaluation of Four Blood Glucose Monitoring Systems Applying ISO 15197:2013 Accuracy Criteria and Calculation of Insulin Dosing Errors.

Authors:  Guido Freckmann; Nina Jendrike; Annette Baumstark; Stefan Pleus; Christina Liebing; Cornelia Haug
Journal:  Diabetes Ther       Date:  2018-03-03       Impact factor: 2.945

Review 9.  Metrology part 2: Procedures for the validation of major measurement quality criteria and measuring instrument properties.

Authors:  Pierre Squara; Thomas W L Scheeren; Hollmann D Aya; Jan Bakker; Maurizio Cecconi; Sharon Einav; Manu L N G Malbrain; Xavier Monnet; Daniel A Reuter; Iwan C C van der Horst; Bernd Saugel
Journal:  J Clin Monit Comput       Date:  2020-03-18       Impact factor: 2.502

10.  Reliability of continuous glucose monitoring system in the inpatient setting.

Authors:  Renee Murray-Bachmann; Tung Ming Leung; Alyson K Myers; Swetha Murthi; Mulugeta Sarbanes; Karina Ziskovich; Martin Lesser; Leonid Poretsky
Journal:  J Clin Transl Endocrinol       Date:  2021-07-07
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