The DOI matches its Crossref record; 111 of the 111 references it cites were found in a registry or an index.
Automated Insulin Delivery: Benefits, Challenges, and Recommendations. A Consensus Report of the Joint Diabetes Technology Working Group of the European Association for the Study of Diabetes and the American Diabetes Association
Open accessAbstract
A technological solution for the management of diabetes in people who require intensive insulin therapy has been sought for decades. The last 10 years have seen substantial growth in devices that can be integrated into clinical care. Driven by the availability of reliable systems for continuous glucose monitoring, we have entered an era in which insulin delivery through insulin pumps can be modulated based on sensor glucose data. Over the past few years, regulatory approval of the first automated insulin delivery (AID) systems has been granted, and these systems have been adopted into clinical care. Additionally, a community of people living with type 1 diabetes has created its own systems using a do-it-yourself approach by using products commercialized for independent use. With several AID systems in development, some of which are anticipated to be granted regulatory approval in the near future, the joint Diabetes Technology Working Group of the European Association for the Study of Diabetes and the American Diabetes Association has created this consensus report. We provide a review of the current landscape of AID systems, with a particular focus on their safety. We conclude with a series of recommended targeted actions. This is the fourth in a series of reports issued by this working group. The working group was jointly commissioned by the executives of both organizations to write the first statement on insulin pumps, which was published in 2015. The original authoring group was comprised by three nominated members of the American Diabetes Association and three nominated members of the European Association for the Study of Diabetes. Additional authors have been added to the group to increase diversity and range of expertise. Each organization has provided a similar internal review process for each manuscript prior to submission for editorial review by the two journals. Harmonization of editorial and substantial modifications has occurred at both levels. The members of the group have selected the subject of each statement and submitted the selection to both organizations for confirmation.
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“However, current algorithms are primarily responsive to immediate glycemic changes and may not fully compensate for delayed carbohydrate absorption, especially from meals rich in fat and protein that can induce delayed hyperglycemia [131, 132, 158].”
From Diabetic gastroparesis: pathophysiology and impact on insulin timing choices (2026) · cites this paper as [131]
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“Digital innovations in glucose sensing and insulin delivery have improved glycemic management in diabetes and offer particular advantages in patients with DGP, where delayed and variable carbohydrate absorption leads to erratic glycemic excursions [131, 132].”
From Diabetic gastroparesis: pathophysiology and impact on insulin timing choices (2026) · cites this paper as [131]
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Cites
(1993) · New England Journal of Medicine · doi:10.1056/nejm199309303291401 · Cited by 24,667
Stratton, I. M. (2000) · BMJ · doi:10.1136/bmj.321.7258.405 · Cited by 9,059
Battelino, 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
Self-citationInternational 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
Self-citationSix-Month Randomized, Multicenter Trial of Closed-Loop Control in Type 1 Diabetes
Brown, S. A., Kovatchev, B. P., Raghinaru, D., Lum, J. W., Buckingham, B. A., Kudva, Y. C., Laffel, L. M., Levy, C. J., Pinsker, J. E., Wadwa, R. P., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1907863 · Cited by 1,030
Introduction: Standards of Medical Care in Diabetes—2022
American Diabetes Association (2022) · Diabetes Care · doi:10.2337/dc22-sint · Cited by 807
Feig, D. S., Donovan, L. E., Corcoy, R., Murphy, K. E., Amiel, S. A., Hunt, K. F., Asztalos, E., Barrett, J. F. R., Sanchez, J. J., de Leiva, A., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32400-5 · Cited by 803
Safety 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-citationOutpatient Glycemic Control with a Bionic Pancreas in Type 1 Diabetes
Russell, S. J., El-Khatib, F. H., Sinha, M., Magyar, K. L., McKeon, K., Goergen, L. G., BALLIRO, C. A., HILLARD, M. A., Nathan, D. M., & Damiano, E. R. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1314474 · Cited by 617
Garg, S. K., Weinzimer, S. A., Tamborlane, W. V., Buckingham, B. A., Bode, B. W., Bailey, T. S., Brazg, R. L., Ilany, J., Slover, R. H., Anderson, S. M., et al. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2016.0421 · Cited by 585
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Dayan, C. M., Mathieu, C., Lowenstein, D., & Soler, L. (2025) · Diabetes Spectrum · doi:10.2337/ds25-0024
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Bhardwaj, A., Dhamija, K., Sharma, S., Sharma, R., & Kumar, S. (2025) · BENTHAM SCIENCE PUBLISHERS eBooks · doi:10.2174/9798898810696125010008
Li, W.-J., & Li, L.-Z. (2026) · World Journal of Methodology · doi:10.5662/wjm.v16.i1.107488
Fletcher-Salt, T., Kelly, B., & Williams, A. (2026) · British Journal of Nursing · doi:10.12968/bjon.2025.0578
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Yuanyuan, C. H. E. N., He, X., Shan, Y., & Lan, M. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2026.1722045
Sobhani, N. C., Engle, K., & Rosenberg, E. A. (2026) · Clinical Obstetrics & Gynecology · doi:10.1097/grf.0000000000000993
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Schlüter, S., Freckmann, G., & Lange, K. (2026) · Die Diabetologie · doi:10.1007/s11428-026-01437-y
Schillaci, C. E., Mertoli, F., Benvenuto, M., Pipoli, M., Virgillito, D., & Piper, L. (2026) · MECOSAN · doi:10.3280/mesa2025-134oa22030
Ehrmann, D., Roos, T., Kröger, J., Mühlen, H., Keuthage, W., Lueg, A., Scheper, N., Heinemann, L., Brandt, D., Hermanns, N., et al. (2026) · Journal of Diabetes Science and Technology · doi:10.1177/19322968261442286
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Hirsch, I. B., Isaacs, D. M., Mora, P., Oser, S. M., Shah, V. N., Sulik, B., Wohlfahrt, K. M., Cook, K. P., MacLeod, J., & Russell, S. J. (2026) · Diabetes Technology and Obesity Medicine · doi:10.1177/29986702261456943
SUSUL, K., Matejko, B., Surowiec, P., Malecki, M., Klupa, T., & CYRANKA, K. (2026) · Frontiers in Clinical Diabetes and Healthcare · doi:10.3389/fcdhc.2026.1870978
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Ye, C., Jin, Z., & Hu, S. S. (2026) · Diabetes Obesity and Metabolism · doi:10.1111/dom.71210
Everett, E. M., Shaw, E., Escobar, B., Brumley, B., Lane, K. L., Moin, T., & Wisk, L. E. (2026) · JMIR Diabetes · doi:10.2196/97122
Yang, R., Yang, Z., Fan, R., Wang, X., & Ya, Z. (2026) · Intelligent Pharmacy · doi:10.1016/j.ipha.2026.08.005
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Mathew, A., & Führer, D. (2026) · Die Innere Medizin · doi:10.1007/s00108-026-02166-6
Ethical Design of Programmable Drug Delivery Systems: Autonomy, Safety, and Human Oversight
Ramirez, C., Torres, E., Ortega, P., & Mendes, S. (2025) · Journal of Applied Pharmaceutical Technologies and Systems · doi:10.68159/g260073438
WILLOUGHBY, K. A., Nguyen, H. T., CHAPMAN, K. S. M., Peter, M. E., Aleppo, G., & Wolf, W. A. (2026) · The Science of Diabetes Self-Management and Care · doi:10.1177/26350106261475926
Hejla, D., Hawke, K., Borovoi, L., Elliott, T., & Panagiotopoulos, C. (2026) · Pediatric Diabetes · doi:10.48130/pedi-0026-0008
Lops, G., Cicco, L. D., & Mascolo, S. (2026) · Results in Engineering · doi:10.1016/j.rineng.2026.112962
Holt, R. I. G., DeVries, J. H., Fischl, A. H., Hirsch, I. B., Kirkman, M. S., Klupa, T., Ludwig, B., Nørgaard, K., Pettus, J., Renard, É., et al. (2026) · Diabetologia · doi:10.1007/s00125-026-06833-z
Self-citationMarigliano, M., Scaramuzza, A. E., Bonfanti, R., Cherubini, V., Lombardo, F., Mameli, C., Minuto, N., Mozzillo, E., Piccini, B., Piccinno, E., et al. (2026) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2026.113570
Eisa, N. (2026) · Journal of Diabetes Science and Technology · doi:10.1177/19322968261463556
Ebekozien, O. A., Aktürk, H. K., Aloi, J., Bellini, N. J., Bluml, B. M., Brady, V. J., Cassarino, D., Clement, S. C., Demeterco‐Berggren, C., D’Onfro, K. C., et al. (2026) · Journal of Diabetes Science and Technology · doi:10.1177/19322968261489568
Penaranda, M. C. P., ScM, A. M., Optom, S. C. B., Hamilton, N. R., Nam, Y., Wong, V. W., Jensen, M. S., Johnson, C., Eddington, D., Kanter, J. A., et al. (2026) · Ophthalmology · doi:10.1016/j.ophtha.2026.09.031
Naik, V. V., Manzoni, E., Escorihuela‐Altaba, C., & Garcia‐Tirado, J. (2026) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2026.109658
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Coronel-Couto, G., & Stumbar, S. E. (2026) · Clinics in Geriatric Medicine · doi:10.1016/j.cger.2026.08.011
Corcoy, R., Beato-Víbora, P. I., Giménez, M., Cuesta, M., Cardona‐Hernandez, R., Fernández‐García, D., & de la Cuadra-Grande, A. (2026) · Endocrinología Diabetes y Nutrición · doi:10.1016/j.endinu.2026.501914
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Nally, L. M., & Sherr, J. L. (2026) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2026.08.013
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Perlman, J. E. (2026) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2026.09.002
Six-month real-world glycemic improvement after Smart MDI system in type 1 diabetes
Rossi, G., Pastore, I., Montefusco, L. B., CANOVA, L. P., D’Addio, F., & Fiorina, P. (2026) · Journal of the Endocrine Society · doi:10.1210/jendso/bvag244
Metadata
- Authors
- Sherr, J. L., Heinemann, L., Fleming, G. A., Bergenstal, R. M., Bruttomesso, D., Hanaire, H., Holl, R. W., Petrie, J. R., Peters, A. L., & Evans, M.
- Affiliations
- Yale University (US)
- 2Science & Co, Kaarst, Germany
- 3Kinexum, Harpers Ferry, WV
- HealthPartners (US)
- University of Padua (IT)
- Centre Hospitalier Universitaire de Toulouse (FR)
- Universität Ulm (DE)
- University of Glasgow (GB)
- University of Southern California (US)
- University of Cambridge (GB)
- Corresponding author
- Evans, Mark
- ORCID
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2022-10-06
- Volume
- 45
- Issue
- 12
- Pages
- 3058-3074
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W4302759931
- Cited by
- 136
- References
- 97
- Citations by year
- 2026: 45 · 2025: 42 · 2024: 31 · 2023: 16 · 2022: 2
- FWCI
- 16.87
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- Funders
- American Diabetes Association
- European Association for the Study of Diabetes
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Keywords
- artificial pancreas, type 1 diabetes, continuous glucose monitoring, insulin pump, intensive insulin therapy, device safety, regulatory approval, diabetes technology
- MeSH terms
- Blood Glucose, Diabetes Mellitus, Type 1, Glucose, Humans, Hypoglycemic Agents, Insulin, Insulin Infusion Systems, Technology, Blood Glucose Self-Monitoring, Consensus, Insulin, Regular, Human
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