Literature DB >> 23448694

Recommendations for standardizing glucose reporting and analysis to optimize clinical decision making in diabetes: the Ambulatory Glucose Profile (AGP).

Richard M Bergenstal1, Andrew J Ahmann, Timothy Bailey, Roy W Beck, Joan Bissen, Bruce Buckingham, Larry Deeb, Robert H Dolin, Satish K Garg, Robin Goland, Irl B Hirsch, David C Klonoff, Davida F Kruger, Glenn Matfin, Roger S Mazze, Beth A Olson, Christopher Parkin, Anne Peters, Margaret A Powers, Henry Rodriguez, Phil Southerland, Ellie S Strock, William Tamborlane, David M Wesley.   

Abstract

Abstract Underutilization of glucose data and lack of easy and standardized glucose data collection, analysis, visualization, and guided clinical decision making are key contributors to poor glycemic control among individuals with type 1 diabetes. An expert panel of diabetes specialists, facilitated by the International Diabetes Center and sponsored by the Helmsley Charitable Trust, met in 2012 to discuss recommendations for standardization of analysis and presentation of glucose monitoring data, with the initial focus on data derived from CGM systems. The panel members were introduced to a universal software report, the Ambulatory Glucose Profile (AGP), and asked to provide feedback on its content and functionality, both as a research tool and in clinical settings. This paper provides a summary of the topics and issues discussed during the meeting and presents recommendations from the expert panel regarding the need to standardize glucose profile summary metrics and the value of a uniform glucose report to aid clinicians, researchers, and patients.

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Year:  2013        PMID: 23448694     DOI: 10.1089/dia.2013.0051

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


  72 in total

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Journal:  Diabetes Technol Ther       Date:  2016-02       Impact factor: 6.118

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Review 3.  Use of technology when assessing adherence to diabetes self-management behaviors.

Authors:  Kimberly A Driscoll; Deborah Young-Hyman
Journal:  Curr Diab Rep       Date:  2014       Impact factor: 4.810

4.  The Fallacy of Average: How Using HbA1c Alone to Assess Glycemic Control Can Be Misleading.

Authors:  Roy W Beck; Crystal G Connor; Deborah M Mullen; David M Wesley; Richard M Bergenstal
Journal:  Diabetes Care       Date:  2017-08       Impact factor: 19.112

Review 5.  Closing the Loop.

Authors:  Revital Nimri; Nathan Murray; Alexander Ochs; Jordan E Pinsker; Eyal Dassau
Journal:  Diabetes Technol Ther       Date:  2017-02       Impact factor: 6.118

Review 6.  Metrics Beyond Hemoglobin A1C in Diabetes Management: Time in Range, Hypoglycemia, and Other Parameters.

Authors:  Lorena Alarcon-Casas Wright; Irl B Hirsch
Journal:  Diabetes Technol Ther       Date:  2017-05       Impact factor: 6.118

Review 7.  Positioning time in range in diabetes management.

Authors:  Andrew Advani
Journal:  Diabetologia       Date:  2019-11-07       Impact factor: 10.122

8.  Association between glycated hemoglobin and health utility for Type 1 diabetes.

Authors:  R Brett McQueen; Samuel L Ellis; David M Maahs; Heather D Anderson; Kavita V Nair; Anne M Libby; Jonathan D Campbell
Journal:  Patient       Date:  2014       Impact factor: 3.883

9.  Development of the Likelihood of Low Glucose (LLG) algorithm for evaluating risk of hypoglycemia: a new approach for using continuous glucose data to guide therapeutic decision making.

Authors:  Timothy C Dunn; Gary A Hayter; Ken J Doniger; Howard A Wolpert
Journal:  J Diabetes Sci Technol       Date:  2014-04-17

10.  Accuracy Beyond ISO: Introducing a New Method for Distinguishing Differences Between Blood Glucose Monitoring Systems Meeting ISO 15197:2013 Accuracy Requirements.

Authors:  Scott Pardo; Rimma M Shaginian; David A Simmons
Journal:  J Diabetes Sci Technol       Date:  2018-03-15
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