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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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
The Triple Aim: Care, Health, And Cost
Berwick, D. M., Nolan, T. W., & Whittington, J. (2008) · Health Affairs · doi:10.1377/hlthaff.27.3.759 · Cited by 5,136
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
Gæde, P., Lund-Andersen, H., Parving, H.-H., & Pedersen, O. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0706245 · Cited by 3,465 · cited 1×
“37”
Monnier, L., Mas, E., Ginet, C., Michel, F., Villon, L., Cristol, J.-P., & Colette, C. (2006) · JAMA · doi:10.1001/jama.295.14.1681 · Cited by 2,444
Translating the A1C assay into estimated average glucose values
Nathan, D. M., Kuenen, J., Borg, R., Zheng, H., Schoenfeld, D., Heine, R. J., & for the A1c-Derived Average Glucose (ADAG) Study Group (2008) · Diabetes Care · doi:10.2337/dc08-0545 · Cited by 1,812
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
American Diabetes Association Workgroup on Hypoglycemia (2005) · Diabetes Care · doi:10.2337/diacare.28.5.1245 · Cited by 1,146
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
Wild, D., von Maltzahn, R., Brohan, E., Christensen, T., Clauson, P., & Gonder-Frederick, L. (2007) · Patient Education and Counseling · doi:10.1016/j.pec.2007.05.003 · Cited by 545
Pickup, J. C., Freeman, S. C., & Sutton, A. J. (2011) · BMJ · doi:10.1136/bmj.d3805 · Cited by 541
Deiss, D., Bolinder, J., Riveline, J.-P., Battelino, T., Bosi, E., Tubiana-Rufi, N., Kerr, D., & Phillip, M. (2006) · Diabetes Care · doi:10.2337/dc06-1134 · Cited by 539
Increased mortality of patients with diabetes reporting severe hypoglycemia
McCoy, R. G., Van Houten, H. K., Ziegenfuss, J. Y., Shah, N. D., Wermers, R. A., & Smith, S. A. (2012) · Diabetes Care · doi:10.2337/dc11-2054 · Cited by 539
Morris, A. D., Boyle, D. I., McMahon, A. D., Greene, S. A., MacDonald, T. M., & Newton, R. W. (1997) · The Lancet · doi:10.1016/s0140-6736(97)06234-x · Cited by 507
Miller, K. M., Beck, R. W., Bergenstal, R. M., Goland, R. S., Haller, M. J., McGill, J. B., Rodriguez, H., Simmons, J. H., Hirsch, I. B., & for the T1D Exchange Clinic Network (2013) · Diabetes Care · doi:10.2337/dc12-1770 · Cited by 505
Self-citationEffect of Continuous Glucose Monitoring on Hypoglycemia in Type 1 Diabetes
Battelino, T., Phillip, M., Bratina, N., Nimri, R., Oskarsson, P., & Bolinder, J. (2011) · Diabetes Care · doi:10.2337/dc10-1989 · Cited by 496
the SWITCH Study Group, Battelino, T., Conget, I., Olsen, B., Schütz-Fuhrmann, I., Hommel, E., Hoogma, R., Schierloh, U., Sulli, N., & Bolinder, J. (2012) · Diabetologia · doi:10.1007/s00125-012-2708-9 · Cited by 494
Yeh, H.-C., Brown, T. T., Maruthur, N., Ranasinghe, P., Berger, Z., Suh, Y. D., Wilson, L. M., Haberl, E. B., Brick, J., Bass, E. B., et al. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-5-201209040-00508 · Cited by 493
The T1D exchange clinic registry
Beck, R. W., Tamborlane, W. V., Bergenstal, R. M., Miller, K. M., DuBose, S. N., Hall, C. A., & for the T1D Exchange Clinic Network (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-1561 · Cited by 456
Improvement in Glycemic Excursions With a Transcutaneous, Real-Time Continuous Glucose Sensor
Garg, S. K., Zisser, H., Schwartz, S. L., Bailey, T. S., Kaplan, R. A., Ellis, S. L., & Jovanovič, L. (2006) · Diabetes Care · doi:10.2337/diacare.29.01.06.dc05-1686 · Cited by 429
Glucose Variability; Does It Matter?
Siegelaar, S. E., Holleman, F., Hoekstra, J. B. L., & DeVries, J. H. (2010) · Endocrine Reviews · doi:10.1210/er.2009-0021 · Cited by 409
The effect of continuous glucose monitoring in well-controlled type 1 diabetes
Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group (2009) · Diabetes Care · doi:10.2337/dc09-0108 · Cited by 399
Diabetes Prevalence and Therapeutic Target Achievement in the United States, 1999 to 2006
Cheung, B. M. Y., Ong, K. L., Cherny, S. S., Sham, P. C., Tso, A. W. K., & Lam, K. S. L. (2009) · The American Journal of Medicine · doi:10.1016/j.amjmed.2008.09.047 · Cited by 349
Evaluation of a New Measure of Blood Glucose Variability in Diabetes
Kovatchev, B. P., Otto, E., Cox, D. J., Gonder-Frederick, L. A., & Clarke, W. L. (2006) · Diabetes Care · doi:10.2337/dc06-1085 · Cited by 344
Rodbard, D. (2009) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2008.0132 · Cited by 324
Vigersky, R. A., Fonda, S. J., Chellappa, M., Walker, M. S., & Ehrhardt, N. M. (2011) · Diabetes Care · doi:10.2337/dc11-1438 · Cited by 312
Kovatchev, B. P., Cox, D. J., Gonder-Frederick, L. A., Young-Hyman, D. L., Schlundt, D. G., & Clarke, W. L. (1998) · Diabetes Care · doi:10.2337/diacare.21.11.1870 · Cited by 309
Sensor-Augmented Insulin Pump Therapy: Results of the First Randomized Treat-to-Target Study
Hirsch, I. B., Abelseth, J. M., Bode, B. W., Fischer, J. S., KAUFMAN, F. R., Mastrototaro, J. J., Parkin, C. G., Wolpert, H. A., & Buckingham, B. A. (2008) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2008.0068 · Cited by 297
Mazze, R. S., Strock, E. S., Wesley, D., Borgman, S. K., Morgan, B., Bergenstal, R. M., & Cuddihy, R. M. (2008) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2007.0293 · Cited by 184
The Contribution of Glucose Variability to Asymptomatic Hypoglycemia in Persons with Type 2 Diabetes
Monnier, L., Wojtusciszyn, A., Colette, C., & Owens, D. R. (2011) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2011.0049 · Cited by 172
Severe Hypoglycemia Predicts Mortality in Diabetes
Cryer, P. E. (2012) · Diabetes Care · doi:10.2337/dc12-0749 · Cited by 163
Post-Meal Glucose Peaks at Home Associate with Carotid Intima-Media Thickness in Type 2 Diabetes
Esposito, K., Ciotola, M., Carleo, D., Schisano, B., Sardelli, L., Tommaso, D. D., Misso, L., Saccomanno, F., Ceriello, A., & Giugliano, D. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-2000 · Cited by 163
The Impact of Frequent and Unrecognized Hypoglycemia on Mortality in the ACCORD Study
Seaquist, E. R., Miller, M. E., Bonds, D. E., Feinglos, M. N., Goff, D. C., PETERSON, K. A., Senior, P. A., & for the ACCORD Investigators (2011) · Diabetes Care · doi:10.2337/dc11-0996 · Cited by 161
Bailey, T. S., Zisser, H. C., & Garg, S. K. (2007) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2007.0205 · Cited by 159
Self-citationRelationship of Fasting and Hourly Blood Glucose Levels to HbA1c Values
Garg, S. K., & Jovanovič, L. (2006) · Diabetes Care · doi:10.2337/dc06-1361 · Cited by 147
Ambulatory Glucose Profile: Representation of Verified Self-Monitored Blood Glucose Data
Mazze, R. S., Lucido, D., Langer, O., Hartmann, K., & Rodbard, D. (1987) · Diabetes Care · doi:10.2337/diacare.10.1.111 · Cited by 144
Rodbard, D., Bailey, T. S., Jovanovič, L., Zisser, H., Kaplan, R. A., & Garg, S. K. (2009) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2009.0077 · Cited by 131
Fear of hypoglycaemia in adults with type 1 diabetes
Anderbro, T., Amsberg, S., Adamson, U., Bolinder, J., Lins, P. ‐., Wredling, R., Moberg, E., Lisspers, J., & Johansson, U. ‐. (2010) · Diabetic Medicine · doi:10.1111/j.1464-5491.2010.03078.x · Cited by 128
Kowalski, A. J. (2009) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2009.0031 · Cited by 128
Qu, Y., Jacober, S. J., Zhang, Q., Wolka, L. L., & DeVries, J. H. (2012) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2012.0099 · Cited by 126
Type 1 Diabetes Among Adolescents
Di Battista, A. M., Hart, T. A., Greco, L., & Gloizer, J. (2009) · The Diabetes Educator · doi:10.1177/0145721709333492 · Cited by 123
The Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group (2009) · Diabetes Care · doi:10.2337/dc09-0846 · Cited by 121
Zinman, B., Schmidt, W. E., Moses, A. C., Lund, N., & Gough, S. C. L. (2011) · Diabetes Obesity and Metabolism · doi:10.1111/j.1463-1326.2011.01493.x · Cited by 119
Smith, C. B., Choudhary, P., Pernet, A., Hopkins, D., & Amiel, S. A. (2009) · Diabetes Care · doi:10.2337/dc08-2259 · Cited by 106
Rodbard, D. (2012) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2012.0062 · Cited by 88
Hemoglobin A1c in Diabetes: Panacea or Pointless?
Sacks, D. B. (2012) · Diabetes · doi:10.2337/db12-1485 · Cited by 56
The Effect of Glucose Variability on the Risk of Microvascular Complications in Type 1 Diabetes
Monnier, L., Colette, C., Leiter, L. A., Ceriello, A., Markolf Hanefeld, E., Owens, D. R., Tajima, N., Tuomiletho, J., Davidson, J. A., & On Behalf of the PGR Group (2006) · Diabetes Care · doi:10.2337/dc06-1594 · Cited by 56
Diabetes mellitus in children and adolescents
Brookman, R. R. (1987) · Journal of Adolescent Health Care · doi:10.1016/0197-0070(87)90058-1 · Cited by 52
Testa, M. A., Gill, J., Su, M., Turner, R. R., Blonde, L., & Simonson, D. C. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-1763 · Cited by 51
Geiger, M. C., Ferreira, J. V., Hafiz, M. M., Froud, T., Baidal, D. A., Meneghini, L., Ricordi, C., & Alejandro, R. (2005) · Cell Transplantation · doi:10.3727/000000005783983214 · Cited by 35
Bergenstal, R. M., Li, Y., Porter, T. K. B., Weaver, C., & Han, J. (2013) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.12026 · Cited by 31
Slicing the Pie: Correlating HbA1c values with average blood glucose values in a pie chart form
Brewer, K. W., Chase, H. P., Owen, S. L., & Garg, S. K. (1998) · Diabetes Care · doi:10.2337/diacare.21.2.209 · Cited by 31
Mazze, R., Strock, E. S., Morgan, B., Wesley, D., Bergenstal, R. M., & Cuddihy, R. M. (2009) · Endocrine Practice · doi:10.4158/ep09046.orr · Cited by 25
Use of Continuous Glucose Monitoring System in the Management of Severe Hypoglycemia
Ryan, E. A., & Germsheid, J. C. (2009) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2009.0042 · Cited by 22
Hirsch, I. B., Amiel, S. A., Blumer, I. R., Bode, B. W., Edelman, S. V., Seley, J. J., Verderese, C. A., & Kilpatrick, E. S. (2012) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2012.0132 · Cited by 18
The End Point is Just the Beginning
Muchmore, D. B. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500538 · Cited by 8
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
