Literature DB >> 23567014

Recommendations for standardizing glucose reporting and analysis to optimize clinical decision making in diabetes: the ambulatory glucose profile.

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

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 mellitus. 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 standardizing the analysis and presentation of glucose monitoring data, with the initial focus on data derived from continuous glucose monitoring systems. The panel members were introduced to a universal software report, the Ambulatory Glucose Profile, and asked to provide feedback on its content and functionality, both as a research tool and in clinical settings. This article 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.
© 2013 Diabetes Technology Society.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23567014      PMCID: PMC3737658          DOI: 10.1177/193229681300700234

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  55 in total

1.  Improvement in glycemic excursions with a transcutaneous, real-time continuous glucose sensor: a randomized controlled trial.

Authors:  Satish Garg; Howard Zisser; Sherwyn Schwartz; Timothy Bailey; Roy Kaplan; Samuel Ellis; Lois Jovanovic
Journal:  Diabetes Care       Date:  2006-01       Impact factor: 19.112

2.  Slicing the pie. Correlating HbA--values with average blood glucose values in a pie chart form.

Authors:  K W Brewer; H P Chase; S Owen; S K Garg
Journal:  Diabetes Care       Date:  1998-02       Impact factor: 19.112

3.  Evaluation of a new measure of blood glucose variability in diabetes.

Authors:  Boris P Kovatchev; Erik Otto; Daniel Cox; Linda Gonder-Frederick; William Clarke
Journal:  Diabetes Care       Date:  2006-11       Impact factor: 19.112

4.  Evaluation of metabolic control using a continuous subcutaneous glucose monitoring system in patients with type 1 diabetes mellitus who achieved insulin independence after islet cell transplantation.

Authors:  Milene C Geiger; Jacqueline V Ferreira; Muhammad M Hafiz; Tatiana Froud; David A Baidal; Luigi F Meneghini; Camillo Ricordi; Rodolfo Alejandro
Journal:  Cell Transplant       Date:  2005       Impact factor: 4.064

5.  Adherence to insulin treatment, glycaemic control, and ketoacidosis in insulin-dependent diabetes mellitus. The DARTS/MEMO Collaboration. Diabetes Audit and Research in Tayside Scotland. Medicines Monitoring Unit.

Authors:  A D Morris; D I Boyle; A D McMahon; S A Greene; T M MacDonald; R W Newton
Journal:  Lancet       Date:  1997-11-22       Impact factor: 79.321

6.  Activation of oxidative stress by acute glucose fluctuations compared with sustained chronic hyperglycemia in patients with type 2 diabetes.

Authors:  Louis Monnier; Emilie Mas; Christine Ginet; Françoise Michel; Laetitia Villon; Jean-Paul Cristol; Claude Colette
Journal:  JAMA       Date:  2006-04-12       Impact factor: 56.272

Review 7.  Defining and reporting hypoglycemia in diabetes: a report from the American Diabetes Association Workgroup on Hypoglycemia.

Authors: 
Journal:  Diabetes Care       Date:  2005-05       Impact factor: 19.112

8.  Ambulatory glucose profile: representation of verified self-monitored blood glucose data.

Authors:  R S Mazze; D Lucido; O Langer; K Hartmann; D Rodbard
Journal:  Diabetes Care       Date:  1987 Jan-Feb       Impact factor: 19.112

Review 9.  Hypoglycaemia: the limiting factor in the glycaemic management of Type I and Type II diabetes.

Authors:  P E Cryer
Journal:  Diabetologia       Date:  2002-04-26       Impact factor: 10.122

10.  Assessment of risk for severe hypoglycemia among adults with IDDM: validation of the low blood glucose index.

Authors:  B P Kovatchev; D J Cox; L A Gonder-Frederick; D Young-Hyman; D Schlundt; W Clarke
Journal:  Diabetes Care       Date:  1998-11       Impact factor: 19.112

View more
  42 in total

1.  The Future of Glucose Monitoring.

Authors:  Satish K Garg
Journal:  Diabetes Technol Ther       Date:  2016-02       Impact factor: 6.118

2.  Flash Continuous Home Glucose Monitoring to Improve Adherence to Self-Monitoring of Blood Glucose and Self-Efficacy in Adolescents With Type 1 Diabetes.

Authors:  Soo Ting Joyce Lim; Fang Huang; Ngee Lek; Katherine Pereira
Journal:  Clin Diabetes       Date:  2020-04

3.  A consensus perceived glycemic variability metric.

Authors:  Cynthia R Marling; Nigel W Struble; Razvan C Bunescu; Jay H Shubrook; Frank L Schwartz
Journal:  J Diabetes Sci Technol       Date:  2013-07-01

4.  Designing Decision-Support Technologies for Patient-Generated Data in Type 1 Diabetes.

Authors:  Si Sun; Kaitlin L Costello
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

5.  Pilot Study of a Novel Application for Data Visualization in Type 1 Diabetes.

Authors:  Jenise C Wong; Aaron B Neinstein; Howard Look; Brandon Arbiter; Nora Chokr; Cassie Ross; Saleh Adi
Journal:  J Diabetes Sci Technol       Date:  2017-02-08

6.  Clinical Approach to Flash Glucose Monitoring: An Expert Recommendation.

Authors:  Ana Chico; Eva Aguilera; Francisco Javier Ampudia-Blasco; Virgina Bellido; Roque Cardona-Hernández; Francisco Javier Escalada; Diego Fernández; Fernando Gómez-Peralta; Noemí González Pérez de Villar; Juan José Gorgojo; Pedro Mezquita-Raya; Cristóbal Morales; Pedro de Pablos Velasco; Rafael Palomares; Juan Parra; María Teresa Rivero; Cintia González-Blanco
Journal:  J Diabetes Sci Technol       Date:  2019-05-12

7.  How Knowledge Emerges From Artificial Intelligence Algorithm and Data Visualization for Diabetes Management.

Authors:  Vincent Derozier; Sylvie Arnavielhe; Eric Renard; Gérard Dray; Sophie Martin
Journal:  J Diabetes Sci Technol       Date:  2019-05-21

8.  Assessment of Glycemic Control in Nursing Home Residents with Diabetes.

Authors:  F Retornaz; M Grino; L Mari; C Oliver
Journal:  J Nutr Health Aging       Date:  2017       Impact factor: 4.075

9.  Evaluating quality of glycemic control: graphical displays of hypo- and hyperglycemia, time in target range, and mean glucose.

Authors:  David Rodbard
Journal:  J Diabetes Sci Technol       Date:  2014-10-14

Review 10.  Technology to optimize pediatric diabetes management and outcomes.

Authors:  Jessica T Markowitz; Kara R Harrington; Lori M B Laffel
Journal:  Curr Diab Rep       Date:  2013-12       Impact factor: 4.810

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.