Literature DB >> 29792751

Glucose Sensing in the Subcutaneous Tissue: Attempting to Correlate the Immune Response with Continuous Glucose Monitoring Accuracy.

Jeffrey I Joseph1, Gabriella Eisler1, David Diaz1, Abdurizzagh Khalf1, Channy Loeum1, Marc C Torjman1.   

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Year:  2018        PMID： 29792751      PMCID： PMC6110119          DOI： 10.1089/dia.2018.0106

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN： 1520-9156            Impact factor:   6.118


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  37 in total

1.  Assessing the Accuracy of Continuous Glucose Monitoring (CGM) Calibrated With Capillary Values Using Capillary or Venous Glucose Levels as a Reference.

Authors:  Mervi Andelin; Jort Kropff; Viktorija Matuleviciene; Jeffrey I Joseph; Stig Attvall; Elvar Theodorsson; Irl B Hirsch; Henrik Imberg; Sofia Dahlqvist; David Klonoff; Börje Haraldsson; J Hans DeVries; Marcus Lind
Journal:  J Diabetes Sci Technol       Date:  2016-06-28

2.  Limitations of statistical measures of error in assessing the accuracy of continuous glucose sensors.

Authors:  Craig Kollman; Darrell M Wilson; Tim Wysocki; William V Tamborlane; Roy W Beck
Journal:  Diabetes Technol Ther       Date:  2005-10       Impact factor: 6.118

3.  Engineering the tissue which encapsulates subcutaneous implants. II. Plasma-tissue exchange properties.

Authors:  A A Sharkawy; B Klitzman; G A Truskey; W M Reichert
Journal:  J Biomed Mater Res       Date:  1998-06-15

4.  Engineering the tissue which encapsulates subcutaneous implants. III. Effective tissue response times.

Authors:  A A Sharkawy; B Klitzman; G A Truskey; W M Reichert
Journal:  J Biomed Mater Res       Date:  1998-06-15

5.  Modeling the Physiological Factors Affecting Glucose Sensor Function in Vivo.

Authors:  Matthew T Novak; William M Reichert
Journal:  J Diabetes Sci Technol       Date:  2015-06-30

6.  A new-generation continuous glucose monitoring system: improved accuracy and reliability compared with a previous-generation system.

Authors:  Mark Christiansen; Timothy Bailey; Elaine Watkins; David Liljenquist; David Price; Katherine Nakamura; Robert Boock; Thomas Peyser
Journal:  Diabetes Technol Ther       Date:  2013-06-18       Impact factor: 6.118

7.  Modeling of Calibration Effectiveness and Blood-to-Interstitial Glucose Dynamics as Potential Confounders of the Accuracy of Continuous Glucose Sensors during Hyperinsulinemic Clamp.

Authors:  Christopher King; Stacey M Anderson; Marc Breton; William L Clarke; Boris P Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2007-05

8.  Home Use of an Artificial Beta Cell in Type 1 Diabetes.

Authors:  H Thabit; M Tauschmann; J M Allen; L Leelarathna; S Hartnell; M E Wilinska; C L Acerini; S Dellweg; C Benesch; L Heinemann; J K Mader; M Holzer; H Kojzar; J Exall; J Yong; J Pichierri; K D Barnard; C Kollman; P Cheng; P C Hindmarsh; F M Campbell; S Arnolds; T R Pieber; M L Evans; D B Dunger; R Hovorka
Journal:  N Engl J Med       Date:  2015-09-17       Impact factor: 91.245

Review 9.  Artificial pancreas: past, present, future.

Authors:  Claudio Cobelli; Eric Renard; Boris Kovatchev
Journal:  Diabetes       Date:  2011-11       Impact factor: 9.461

10.  Modeling the Error of the Medtronic Paradigm Veo Enlite Glucose Sensor.

Authors:  Lyvia Biagi; Charrise M Ramkissoon; Andrea Facchinetti; Yenny Leal; Josep Vehi
Journal:  Sensors (Basel)       Date:  2017-06-12       Impact factor: 3.576
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  1 in total

1.  Review of the Long-Term Implantable Senseonics Continuous Glucose Monitoring System and Other Continuous Glucose Monitoring Systems.

Authors:  Jeffrey I Joseph
Journal:  J Diabetes Sci Technol       Date:  2020-04-29
  1 in total

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