Literature DB >> 3677983

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

W L Clarke1, D Cox, L A Gonder-Frederick, W Carter, S L Pohl.   

Abstract

Although the scientific literature contains numerous reports of the statistical accuracy of systems for self-monitoring of blood glucose (SMBG), most of these studies determine accuracy in ways that may not be clinically useful. We have developed an error grid analysis (EGA), which describes the clinical accuracy of SMBG systems over the entire range of blood glucose values, taking into account 1) the absolute value of the system-generated glucose value, 2) the absolute value of the reference blood glucose value, 3) the relative difference between these two values, and 4) the clinical significance of this difference. The EGA of accuracy of five different reflectance meters (Eyetone, Dextrometer, Glucometer I, Glucometer II, Memory Glucometer II), a visually interpretable glucose reagent strip (Glucostix), and filter-paper spot glucose determinations is presented. In addition, reanalyses of a laboratory comparison of three reflectance meters (Accucheck II, Glucometer II, Glucoscan 9000) and of two previously published studies comparing the accuracy of five different reflectance meters with EGA is described. EGA provides the practitioner and the researcher with a clinically meaningful method for evaluating the accuracy of blood glucose values generated with various monitoring systems and for analyzing the clinical implications of previously published data.

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Year:  1987        PMID: 3677983     DOI: 10.2337/diacare.10.5.622

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  257 in total

1.  Evaluating the clinical accuracy of GlucoMen®Day: a novel microdialysis-based continuous glucose monitor.

Authors:  Francesco Valgimigli; Fausto Lucarelli; Cosimo Scuffi; Sara Morandi; Iolanda Sposato
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

2.  Modeling the effects of subcutaneous insulin administration and carbohydrate consumption on blood glucose.

Authors:  Matthew W Percival; Wendy C Bevier; Youqing Wang; Eyal Dassau; Howard C Zisser; Lois Jovanovič; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

Review 3.  Blood glucose measurements in critically ill patients.

Authors:  Tom Van Herpe; Dieter Mesotten
Journal:  J Diabetes Sci Technol       Date:  2012-01-01

4.  Improving the safety of blood glucose monitoring.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

5.  A novel non-imaging optics based Raman spectroscopy device for transdermal blood analyte measurement.

Authors:  Chae-Ryon Kong; Ishan Barman; Narahara Chari Dingari; Jeon Woong Kang; Luis Galindo; Ramachandra R Dasari; Michael S Feld
Journal:  AIP Adv       Date:  2011-09-27       Impact factor: 1.548

6.  Dynamic electrochemistry: a step in the right direction.

Authors:  Mark J Rice
Journal:  J Diabetes Sci Technol       Date:  2011-09-01

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

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

8.  Intraoperative accuracy of a point-of-care glucose meter compared with simultaneous central laboratory measurements.

Authors:  Boris Mraovic; Eric S Schwenk; Richard H Epstein
Journal:  J Diabetes Sci Technol       Date:  2012-05-01

9.  Real-time glucose estimation algorithm for continuous glucose monitoring using autoregressive models.

Authors:  Yenny Leal; Winston Garcia-Gabin; Jorge Bondia; Eduardo Esteve; Wifredo Ricart; Jose-Manuel Fernández-Real; Josep Vehí
Journal:  J Diabetes Sci Technol       Date:  2010-03-01

10.  Accuracy and reliability of a subcutaneous continuous glucose monitoring device in critically ill patients.

Authors:  S Rijkenberg; S C van Steen; J H DeVries; P H J van der Voort
Journal:  J Clin Monit Comput       Date:  2017-12-07       Impact factor: 2.502

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