Literature DB >> 21815751

Glycemic variability: measurement and utility in clinical medicine and research--one viewpoint.

David Rodbard.   

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Year:  2011        PMID: 21815751     DOI: 10.1089/dia.2011.0104

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


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  16 in total

Review 1.  The challenges of measuring glycemic variability.

Authors:  David Rodbard
Journal:  J Diabetes Sci Technol       Date:  2012-05-01

2.  Are Risk Indices Derived From CGM Interchangeable With SMBG-Based Indices?

Authors:  Chiara Fabris; Stephen D Patek; Marc D Breton
Journal:  J Diabetes Sci Technol       Date:  2015-08-14

3.  Signal processing algorithms implementing the "smart sensor" concept to improve continuous glucose monitoring in diabetes.

Authors:  Andrea Facchinetti; Giovanni Sparacino; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

Review 4.  Role of Continuous Glucose Monitoring in Clinical Trials: Recommendations on Reporting.

Authors:  Oliver Schnell; Katharine Barnard; Richard Bergenstal; Emanuele Bosi; Satish Garg; Bruno Guerci; Thomas Haak; Irl B Hirsch; Linong Ji; Shashank R Joshi; Maarten Kamp; Lori Laffel; Chantal Mathieu; William H Polonsky; Frank Snoek; Philip Home
Journal:  Diabetes Technol Ther       Date:  2017-05-22       Impact factor: 6.118

5.  Associations of blood glucose dynamics with antihyperglycemic treatment and glycemic variability in type 1 and type 2 diabetes.

Authors:  K-D Kohnert; P Heinke; L Vogt; P Augstein; A Thomas; E Salzsieder
Journal:  J Endocrinol Invest       Date:  2017-05-08       Impact factor: 4.256

6.  Model of glucose sensor error components: identification and assessment for new Dexcom G4 generation devices.

Authors:  Andrea Facchinetti; Simone Del Favero; Giovanni Sparacino; Claudio Cobelli
Journal:  Med Biol Eng Comput       Date:  2014-11-23       Impact factor: 2.602

Review 7.  Glycemic variability in hospitalized patients: choosing metrics while awaiting the evidence.

Authors:  Susan S Braithwaite
Journal:  Curr Diab Rep       Date:  2013-02       Impact factor: 4.810

8.  Parsimonious Description of Glucose Variability in Type 2 Diabetes by Sparse Principal Component Analysis.

Authors:  Chiara Fabris; Andrea Facchinetti; Giuseppe Fico; Francesco Sambo; Maria Teresa Arredondo; Claudio Cobelli
Journal:  J Diabetes Sci Technol       Date:  2015-07-31

9.  Impact of Real-Time Continuous Glucose Monitoring Use on Glucose Variability and Endothelial Function in Adolescents with Type 1 Diabetes: New Technology--New Possibility to Decrease Cardiovascular Risk?

Authors:  Milena Jamiołkowska; Izabela Jamiołkowska; Włodzimierz Łuczyński; Joanna Tołwińska; Artur Bossowski; Barbara Głowińska Olszewska
Journal:  J Diabetes Res       Date:  2015-11-16       Impact factor: 4.011

10.  Minimal functional β-cell mass in intraportal implants that reduces glycemic variability in type 1 diabetic recipients.

Authors:  Pieter Gillard; Robert Hilbrands; Ursule Van de Velde; Zhidong Ling; Da Hae Lee; Ilse Weets; Frans Gorus; Christophe De Block; Leonard Kaufman; Chantal Mathieu; Daniel Pipeleers; Bart Keymeulen
Journal:  Diabetes Care       Date:  2013-09-16       Impact factor: 19.112

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