The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
Recommendations for Standardizing Glucose Reporting and Analysis to Optimize Clinical Decision Making in Diabetes: The Ambulatory Glucose Profile (AGP)
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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In the citing paper
“Originally created by Mazze et. al. (68), the standardized AGP report was further developed by the International Diabetes Center and now incorporates all the core CGM metrics and targets along with a 14-day composite glucose profile as an integral component of clinical decision making (24).”
From Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range (2019) · cites this paper as [24]
In the citing paper
“The key benefits of CGM include real-time data monitoring for people with T1D and access for them and their HCPs to complete glucose datasets17; both of which help people to achieve their target time spent within the acceptable range (time in range [TIR]: 3.9–10.0 mmol/L [70–180 mg/dL]) and avoid hyper- and hypoglycemia.18”
From Increased Time in Range and Fewer Missed Bolus Injections After Introduction of a Smart Connected Insulin Pen (2020) · cites this paper as [18]
Citations
Cites
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Standards of medical care in diabetes—2013
American Diabetes Association (2013) · Diabetes Care · doi:10.2337/dc13-s011 · Cited by 4,369
Effect of a multifactorial intervention on mortality in type 2 diabetes
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“37”
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Translating the A1C assay into estimated average glucose values
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Severe hypoglycemia and risks of vascular events and death
Zoungas, S., Patel, A., Chalmers, J., de Galan, B. E., Li, Q., Billot, L., Woodward, M., Ninomiya, T., Neal, B., MacMahon, S., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1003795 · Cited by 1,471
Defining and Reporting Hypoglycemia in Diabetes
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Hypoglycaemia: the limiting factor in the glycaemic management of type I and type II diabetes.
Cryer, P. (2002) · Diabetologia · doi:10.1007/s00125-002-0822-9 · Cited by 794
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Research works printed but not linked: 4
- McGill J.B, , Chen V, , Beck RW. Diabetes management among adults under excellent control in the Type 1 Diabetes Exchange Clinic Registry: how do they do it? Oral presentation #186 at the European Association for the Study of Diabetes Meeting, Berlin, 2012.
- Self-monitoring of blood glucose among adults with diabetes—United States, 1997–2006. MMWR Morb Mortal Wkly Rep, 2007; 56:1133–1137.
- Adi S, , Beck RW, , DuBose SN, , Bode BW, , Peters AL, , Hirsch IB, , Miller KM. T1D Exchange Clinic Network: A comparison of users, nonusers of real-time continuous glucose monitoring (CGM) with type 1 diabetes (T1D) in the T1D Exchange. Poster presentation at the Diabetes Technology Society Meeting, October 27–292011.
- Dunn TC, , Crouther N. Assessment of the variance of the Ambulatory Glucose Profile over 3–20 days of continuous glucose monitoring. Abstract poster presented at the European Association for the Study of Diabetes Meeting, Stockholm, September 2010.
Cited by
Sorted by citations
Standards of medical care in diabetes—2014
American Diabetes Association (2014) · Diabetes Care · doi:10.2337/dc14-s014 · Cited by 4,572
“However, before CGM is widely adopted, data must be reported and analyzed using a standard universal template that is predictable and intuitive (75).”
MethodBattelino, T., Danne, T., Bergenstal, R. M., Amiel, S. A., Beck, R., Biester, T., Bosi, E., Buckingham, B. A., Cefalu, W. T., Close, K. L., et al. (2019) · Diabetes Care · doi:10.2337/dci19-0028 · Cited by 4,237
International consensus on use of continuous glucose monitoring
Danne, T., Nimri, R., Battelino, T., Bergenstal, R. M., Close, K. L., DeVries, J. H., Garg, S., Heinemann, L., Hirsch, I., Amiel, S. A., et al. (2017) · Diabetes Care · doi:10.2337/dc17-1600 · Cited by 2,069
“in a consensus conference held in 2012 (82) [E] and is recommended by this consensus group as a standard for visualization of CGM data.”
BackgroundSelf-citationContinuous glucose monitoring and metrics for clinical trials: an international consensus statement
Battelino, T., Alexander, C. M., Amiel, S. A., Arreaza-Rubin, G., Beck, R. W., Bergenstal, R. M., Buckingham, B. A., Carroll, J., Ceriello, A., Chow, E., et al. (2023) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(22)00319-9 · Cited by 831
Continuous Glucose Monitoring: A Review of Successes, Challenges, and Opportunities
Rodbard, D. (2016) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2015.0417 · Cited by 768
Metadata
- Authors
- Bergenstal, R. M., Ahmann, A. J., Bailey, T., Beck, R. W., Bissen, J., Buckingham, B., Deeb, L., Dolin, R. H., Garg, S. K., Goland, R., Hirsch, I. B., Klonoff, D. C., Kruger, D. F., Matfin, G., Mazze, R. S., Olson, B. A., Parkin, C., Peters, A., Powers, M. A., Rodriguez, H., Southerland, P., Strock, E. S., Tamborlane, W., & Wesley, D. M.
- Affiliations
- Park Nicollet Clinic (US)
- Oregon Health & Science University (US)
- University of California San Diego (US)
- Jaeb Center for Health Research (US)
- Lucile Packard Children's Hospital (US)
- Florida State University (US)
- Lantana Consulting Group
- University of Colorado Denver (US)
- Columbia University Irving Medical Center (US)
- University of Washington (US)
- University of California, San Francisco (US)
- Henry Ford Health (US)
- CGParkin Communications, Inc.
- University of Southern California (US)
- University of South Florida (US)
- Team Type 1, Atlanta, Georiga.
- Yale University (US)
- Corresponding author
- Bergenstal, Richard M.
- ORCID
- Venue
- Diabetes Technology & Therapeutics
- Publisher
- SAGE Publications
- Published
- 2013-03
- Volume
- 15
- Issue
- 3
- Pages
- 198-211
- ISSN
- 1520-9156 (ISSN-L)
- 1557-8593
- OpenAlex
- W2388765709
- Cited by
- 307
- References
- 55
- Citations by year
- 2026: 17 · 2025: 13 · 2024: 14 · 2023: 21 · 2022: 24 · 2021: 25 · 2020: 26 · 2019: 31 · 2018: 31 · 2017: 33 · 2016: 22 · 2015: 20 · 2014: 16 · 2013: 14
- Type
- conference abstract
- Language
- en
- Open access
- closed
- Locations
- Diabetes Technology & Therapeutics (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Leona M. and Harry B. Helmsley Charitable Trust
- U.S. Food and Drug Administration
- Abbott Diabetes Care
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- ambulatory glucose profile, continuous glucose monitoring, type 1 diabetes, glycemic control, clinical decision-making, expert panel recommendations
- MeSH terms
- Blood Glucose, Decision Making, Diabetes Mellitus, Female, Humans, Hyperglycemia, Hypoglycemia, Male, Reference Standards, Software, United States, Blood Glucose Self-Monitoring, Monitoring, Ambulatory
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