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Improving the Clinical Value and Utility of CGM Systems: Issues and Recommendations
Open accessAbstract
The first systems for continuous glucose monitoring (CGM) became available over 15 years ago. Many then believed CGM would revolutionize the use of intensive insulin therapy in diabetes; however, progress toward that vision has been gradual. Although increasing, the proportion of individuals using CGM rather than conventional systems for self-monitoring of blood glucose on a daily basis is still low in most parts of the world. Barriers to uptake include cost, measurement reliability (particularly with earlier-generation systems), human factors issues, lack of a standardized format for displaying results, and uncertainty on how best to use CGM data to make therapeutic decisions. This Scientific Statement makes recommendations for systemic improvements in clinical use and regulatory (pre- and postmarketing) handling of CGM devices. The aim is to improve safety and efficacy in order to support the advancement of the technology in achieving its potential to improve quality of life and health outcomes for more people with diabetes.
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“In many countries, the benefits and utility of CGM are now recognized by national and international medical organizations for individuals with insulin-requiring diabetes and/or those at risk for hypoglycemia (16-21).”
From Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range (2019) · cites this paper as [19]
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Cites
McCambridge, J., Witton, J., & Elbourne, D. R. (2014) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2013.08.015 · Cited by 2,748
Continuous glucose monitoring and intensive treatment of type 1 diabetes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0805017 · Cited by 1,559
Beck, R. W., Riddlesworth, T., Ruedy, K., Ahmann, A., Bergenstal, R., Haller, S., Kollman, C., Kruger, D., McGill, J. B., Polonsky, W., et al. (2017) · JAMA · doi:10.1001/jama.2016.19975 · Cited by 1,185
Self-citationBolinder, J., Antuna, R., Geelhoed-Duijvestijn, P., Kröger, J., & Weitgasser, R. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31535-5 · Cited by 893
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
Threshold-based insulin-pump interruption for reduction of hypoglycemia
Bergenstal, R. M., Klonoff, D. C., Garg, S. K., Bode, B. W., Meredith, M., Slover, R. H., Ahmann, A. J., Welsh, J. B., Lee, S. W., & Kaufman, F. R. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1303576 · Cited by 652
Self-citationSafety of a hybrid closed-loop insulin delivery system in patients with type 1 diabetes
Bergenstal, R. M., Garg, S., Weinzimer, S. A., Buckingham, B. A., Bode, B. W., Tamborlane, W. V., & Kaufman, F. R. (2016) · JAMA · doi:10.1001/jama.2016.11708 · Cited by 644
Self-citationHaak, T., Hanaire, H., Ajjan, R., Hermanns, N., Riveline, J.-P., & Rayman, G. (2017) · Diabetes Therapy · doi:10.1007/s13300-016-0223-6 · Cited by 623
International Hypoglycaemia Study Group (2017) · Diabetes Care · doi:10.2337/dc16-2215 · Cited by 608
Pickup, J. C., Freeman, S. C., & Sutton, A. J. (2011) · BMJ · doi:10.1136/bmj.d3805 · Cited by 541
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
Ly, T. T., Nicholas, J. A., Retterath, A., Lim, E. M., Davis, E. A., & Jones, T. W. (2013) · JAMA · doi:10.1001/jama.2013.277818 · Cited by 411
Agiostratidou, G., Anhalt, H., Ball, D., Blonde, L., Gourgari, E., Harriman, K. N., Kowalski, A. J., Madden, P., McAuliffe-Fogarty, A. H., McElwee-Malloy, M., et al. (2017) · Diabetes Care · doi:10.2337/dc17-1624 · Cited by 397
Self-citationvan Beers, C. A. J., DeVries, J. H., Kleijer, S. J., Smits, M. M., Geelhoed-Duijvestijn, P. H., Kramer, M. H. H., Diamant, M., Snoek, F. J., & Serné, E. H. (2016) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(16)30193-0 · Cited by 386
The International Hypoglycaemia Study Group (2016) · Diabetologia · doi:10.1007/s00125-016-4146-6 · Cited by 367
Aleppo, G., Ruedy, K. J., Riddlesworth, T. D., Kruger, D. F., Peters, A. L., Hirsch, I., Bergenstal, R. M., Toschi, E., Ahmann, A. J., Shah, V. N., et al. (2017) · Diabetes Care · doi:10.2337/dc16-2482 · Cited by 329
Self-citationReal-time continuous glucose monitoring among participants in the T1D Exchange clinic registry
Wong, J. C., Foster, N. C., Maahs, D. M., Raghinaru, D., Bergenstal, R. M., Ahmann, A. J., Peters, A. L., Bode, B. W., Aleppo, G., Hirsch, I. B., et al. (2014) · Diabetes Care · doi:10.2337/dc14-0303 · Cited by 318
Self-citationVigersky, R. A., Fonda, S. J., Chellappa, M., Walker, M. S., & Ehrhardt, N. M. (2011) · Diabetes Care · doi:10.2337/dc11-1438 · Cited by 312
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., et al. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0051 · Cited by 307 · cited 2×
“consensus on definitions of the various levels of time in range and hypoglycemia (in clinical practice and by CGM) is urgently required among payers and providers (21,43).”
BackgroundMethodSelf-citationGlucose Variability: Timing, Risk Analysis, and Relationship to Hypoglycemia in Diabetes
Kovatchev, B. P., & Cobelli, C. (2016) · Diabetes Care · doi:10.2337/dc15-2035 · Cited by 276
Continuous glucose monitoring systems for type 1 diabetes mellitus
Langendam, M., Luijf, Y. M., Hooft, L., DeVries, J. H., Mudde, A. H., & Scholten, R. J. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd008101.pub2 · Cited by 262
Physiological Differences Between Interstitial Glucose and Blood Glucose Measured in Human Subjects
Kulcu, E., Tamada, J. A., Reach, G., Potts, R. O., & Lesho, M. J. (2003) · Diabetes Care · doi:10.2337/diacare.26.8.2405 · Cited by 252
Peters, A. L., Ahmann, A. J., Battelino, T., Evert, A., Hirsch, I. B., Murad, M. H., Winter, W. E., & Wolpert, H. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2016-2534 · Cited by 250
Self-citationYoo, H. J., An, H. G., Park, S. Y., Ryu, O. H., Kim, H. Y., Seo, J. A., Hong, E. G., Shin, D. H., Kim, Y. H., Kim, S. G., et al. (2008) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2008.06.015 · Cited by 244
Continuous glucose monitoring: an Endocrine Society Clinical Practice Guideline
Klonoff, D. C., Buckingham, B., Christiansen, J. S., Montori, V. M., Tamborlane, W. V., Vigersky, R. A., & Wolpert, H. (2011) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2010-2756 · Cited by 211
Outcome measures for artificial pancreas clinical trials: a consensus report
Maahs, D. M., Buckingham, B. A., Castle, J. R., Cinar, A., Damiano, E. R., Dassau, E., DeVries, J. H., Doyle, F. J., Griffen, S. C., Haidar, A., et al. (2016) · Diabetes Care · doi:10.2337/dc15-2716 · Cited by 211
Self-citationEhrhardt, N. M., Chellappa, M., Walker, M. S., Fonda, S. J., & Vigersky, R. A. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500320 · Cited by 199
Poolsup, N., Suksomboon, N., & Kyaw, A. M. (2013) · Diabetology & Metabolic Syndrome · doi:10.1186/1758-5996-5-39 · Cited by 179
Kropff, J., Choudhary, P., Neupane, S., Barnard-Kelly, K. D., Bain, S. C., Kapitza, C., Forst, T. M., Link, M., DEHENNIS, A. D., & DeVries, J. H. (2016) · Diabetes Care · doi:10.2337/dc16-1525 · Cited by 171
Heinemann, L., Fleming, G. A., Petrie, J. R., Holl, R. W., Bergenstal, R. M., & Peters, A. L. (2015) · Diabetes Care · doi:10.2337/dc15-0168 · Cited by 143
Self-citationBuckingham, B. A., Raghinaru, D., Cameron, F., Bequette, B. W., Chase, H. P., Maahs, D. M., Slover, R. H., Wadwa, R. P., Wilson, D. M., Ly, T. T., et al. (2015) · Diabetes Care · doi:10.2337/dc14-3053 · Cited by 140
Gandhi, G. Y., Kovalaske, M. A., Kudva, Y. C., Walsh, K., Elamin, M. B., Beers, M. C., Coyle, C., Goalen, M. J., Murad, M. S., Erwin, P. J., et al. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500419 · Cited by 136
Bailey, T. S., Grunberger, G., Bode, B. W., Handelsman, Y., Hirsch, I. B., Jovanovič, L., Roberts, V. L., Rodbard, D., Tamborlane, W. V., & Walsh, J. S. A. (2016) · Endocrine Practice · doi:10.4158/ep151124.cs · Cited by 130
CGM Versus FGM; or, Continuous Glucose Monitoring Is Not Flash Glucose Monitoring
Heinemann, L., & Freckmann, G. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296815603528 · Cited by 128
Self-citationMultinational Home Use of Closed-Loop Control Is Safe and Effective
Anderson, S. M., Raghinaru, D., Pinsker, J. E., Boscari, F., Renard, E., Buckingham, B. A., Nimri, R., Doyle, F. J., Brown, S. A., Keith-Hynes, P., et al. (2016) · Diabetes Care · doi:10.2337/dc15-2468 · Cited by 120
Siegmund, T., Heinemann, L., Kolassa, R., & Thomas, A. (2017) · Journal of Diabetes Science and Technology · doi:10.1177/1932296817699637 · Cited by 108
Self-citationGolicki, D., Golicka, D., Groele, L., & Pańkowska, E. (2007) · Diabetologia · doi:10.1007/s00125-007-0884-9 · Cited by 88
A Patient-Designed Do-It-Yourself Mobile Technology System for Diabetes
Lee, J. M., Hirschfeld, E., & Wedding, J. P. E. (2016) · JAMA · doi:10.1001/jama.2016.1903 · Cited by 77
Floyd, B. D., Chandra, P., Hall, S., Phillips, C. J., Alema‐Mensah, E., Strayhorn, G., Ofili, E., & Umpierrez, G. E. (2012) · Journal of Diabetes Science and Technology · doi:10.1177/193229681200600513 · Cited by 75
Riemsma, R., Ramos, I. C., Birnie, R., Büyükkaramikli, N., Armstrong, N., Ryder, S., Duffy, S., Worthy, G., Al, M., Severens, J. L., et al. (2016) · Health Technology Assessment · doi:10.3310/hta20170 · Cited by 75
The Impact of Real-Time Continuous Glucose Monitoring in Patients 65 Years and Older
Polonsky, W. H., Peters, A. L., & Hessler, D. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816643542 · Cited by 69
Self-citationTaleb, N., Emami, A., Suppère, C., Messier, V., Legault, L., Chiasson, J., RABASA-LHORET, R. P. R., & Haidar, A. (2016) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2015.0394 · Cited by 62
The Evidence Base for Diabetes Technology: Appropriate and Inappropriate Meta-Analysis
Pickup, J. C. (2013) · Journal of Diabetes Science and Technology · doi:10.1177/193229681300700617 · Cited by 57
Reimbursement for Continuous Glucose Monitoring: A European View
Heinemann, L., Franc, S., Phillip, M., Battelino, T., Ampudia‐Blasco, F. J., Bolinder, J., Diem, P., Pickup, J. C., & DeVries, J. H. (2012) · Journal of Diabetes Science and Technology · doi:10.1177/193229681200600631 · Cited by 49
Self-citationGehr, B., Holder, M., Kulzer, B., Lange, K., Liebl, A., Sahm, C., von Sengbusch, S., Schlüter, S., Siegmund, T., Thurm, U., et al. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816661735 · Cited by 42
Self-citationPettus, J., & Edelman, S. V. (2016) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2015.0369 · Cited by 38
Lind, M., Polonsky, W. H., Hirsch, I. B., Heise, T., Bolinder, J., Dahlqvist, S., Pehrsson, N.-G., & Moström, P. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816642578 · Cited by 27
Pettus, J., & Edelman, S. V. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816639069 · Cited by 26
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Klonoff, D. C., & Kleidermacher, D. N. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816647516 · Cited by 21
Barnard, K. D., Kubiak, T., Hermanns, N., & Heinemann, L. (2015) · Diabetes Care · doi:10.2337/dc14-3044 · Cited by 11
Self-citationHeinemann, L., & Hermanns, N. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296815597918 · Cited by 10
Self-citationMethods for Insulin Delivery and Glucose Monitoring: Comparative Effectiveness [Internet]
Golden, S. H., Brown, T. T., Yeh, H., Maruthur, N. M., Ranasinghe, P. D., Berger, Z. D., Suh, Y. D., Wilson, L. M., Haberl, E. B., & Bass, E. B. (2012) · Cited by 8
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Zhou, Z. G., Sun, B., Huang, S., Zhu, C., & Bian, M. (2020) · Cardiovascular Diabetology · doi:10.1186/s12933-020-01085-6 · Cited by 273
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Metadata
- Authors
- Petrie, J. R., Peters, A. L., Bergenstal, R. M., Holl, R. W., Fleming, G. A., & Heinemann, L.
- Affiliations
- University of Glasgow (GB)
- University of Southern California (US)
- Park Nicollet Health Services (US)
- Universität Ulm (DE)
- Kinexum, Harpers Ferry, WV
- Science & Co, Dusseldorf, Germany
- Corresponding author
- Petrie, John R.
- ORCID
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2017-10-25
- Volume
- 40
- Issue
- 12
- Pages
- 1614-1621
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2766548367
- Cited by
- 135
- References
- 53
- Citations by year
- 2026: 8 · 2025: 7 · 2024: 7 · 2023: 8 · 2022: 12 · 2021: 18 · 2020: 21 · 2019: 25 · 2018: 28 · 2017: 1
- FWCI
- 2.99
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (acceptedVersion)
- 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
- continuous glucose monitoring, diabetes management, intensive insulin therapy, measurement reliability, human factors, regulatory oversight, self-monitoring of blood glucose
- MeSH terms
- Blood Glucose, Cost-Benefit Analysis, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Europe, Humans, Insulin, Insulin Infusion Systems, Quality of Life, Societies, Medical, United States, Blood Glucose Self-Monitoring, Meta-Analysis as Topic, Reproducibility of Results, Randomized Controlled Trials as Topic
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