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Journal Abstract Search

117 related items for PubMed ID: 31064212

  • 1. Getting More Information From Glucose Meter Evaluations.
    Krouwer JS, Garrett PE.
    J Diabetes Sci Technol; 2019 Nov; 13(6):1175-1177. PubMed ID: 31064212
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  • 2. Reducing Glucose Meter Adverse Events by Using Reliability Growth With the FDA MAUDE Database.
    Krouwer JS.
    J Diabetes Sci Technol; 2019 Sep; 13(5):959-962. PubMed ID: 30580582
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  • 4. Performance Evaluation of Three Blood Glucose Monitoring Systems Using ISO 15197: 2013 Accuracy Criteria, Consensus and Surveillance Error Grid Analyses, and Insulin Dosing Error Modeling in a Hospital Setting.
    Bedini JL, Wallace JF, Pardo S, Petruschke T.
    J Diabetes Sci Technol; 2015 Oct 07; 10(1):85-92. PubMed ID: 26445813
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  • 11. Accuracy Assessment of an Improved Version of an Established Blood Glucose Monitoring System for Self-Testing Following ISO 15197:2013.
    Kamecke U, Baumstark A, Jendrike N, Haug C, Freckmann G.
    J Diabetes Sci Technol; 2017 Jul 07; 11(4):851-853. PubMed ID: 28627219
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  • 12. ISO 15197:2013 Accuracy Evaluation of Two CE-Marked Systems for Self-Monitoring of Blood Glucose.
    Jendrike N, Rittmeyer D, Pleus S, Baumstark A, Haug C, Freckmann G.
    J Diabetes Sci Technol; 2015 Jul 07; 9(4):934-5. PubMed ID: 25901021
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  • 13. Why the Details of Glucose Meter Evaluations Matters.
    Krouwer JS.
    J Diabetes Sci Technol; 2019 May 07; 13(3):559-560. PubMed ID: 30328716
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  • 18. Comparative Accuracy Evaluation of a Blood Glucose Meter With Novel Hematocrit Correction Technology, With Three Currently Used Commercially Available Blood Glucose Monitoring Systems.
    Dunseath GJ, Bright D, Luzio SD.
    J Diabetes Sci Technol; 2019 May 07; 13(3):568-574. PubMed ID: 30623673
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