The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Effectiveness of Sensor-Augmented Insulin-Pump Therapy in Type 1 Diabetes
Open accessAbstract
BACKGROUND: Recently developed technologies for the treatment of type 1 diabetes mellitus include a variety of pumps and pumps with glucose sensors. METHODS: In this 1-year, multicenter, randomized, controlled trial, we compared the efficacy of sensor-augmented pump therapy (pump therapy) with that of a regimen of multiple daily insulin injections (injection therapy) in 485 patients (329 adults and 156 children) with inadequately controlled type 1 diabetes. Patients received recombinant insulin analogues and were supervised by expert clinical teams. The primary end point was the change from the baseline glycated hemoglobin level. RESULTS: At 1 year, the baseline mean glycated hemoglobin level (8.3% in the two study groups) had decreased to 7.5% in the pump-therapy group, as compared with 8.1% in the injection-therapy group (P<0.001). The proportion of patients who reached the glycated hemoglobin target (<7%) was greater in the pump-therapy group than in the injection-therapy group. The rate of severe hypoglycemia in the pump-therapy group (13.31 cases per 100 person-years) did not differ significantly from that in the injection-therapy group (13.48 per 100 person-years, P=0.58). There was no significant weight gain in either group. CONCLUSIONS: In both adults and children with inadequately controlled type 1 diabetes, sensor-augmented pump therapy resulted in significant improvement in glycated hemoglobin levels, as compared with injection therapy. A significantly greater proportion of both adults and children in the pump-therapy group than in the injection-therapy group reached the target glycated hemoglobin level. (Funded by Medtronic and others; ClinicalTrials.gov number, NCT00417989.)
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“A trial comparing a sensor-augmented pump with multiple daily injection therapy showed significant improvement in HbA1C reduction with less hypoglycaemia in the sensor-augmented pump cohort.88,94”
From Type 1 diabetes (2014) · cites this paper as [88]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“A randomised controlled trial in adults with type 1 diabetes reported lower HbA1C concentrations with sensor-augmented pump therapy than with injection therapy, and a greater proportion of patients reaching the targeted levels of HbA1C.88”
From Type 1 diabetes (2014) · cites this paper as [88]
In the citing paper
“The use of rtCGM sensors has proved to be very beneficial for glycemic control [10,16,17].”
From Advanced Diabetes Management Using Artificial Intelligence and Continuous Glucose Monitoring Sensors (2020) · cites this paper as [16]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes
(2005) · New England Journal of Medicine · doi:10.1056/nejmoa052187 · Cited by 5,138
Standards of medical care in diabetes 2010
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc10-s011 · Cited by 3,470
Continuous glucose monitoring and intensive treatment of type 1 diabetes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0805017 · Cited by 1,559
Hirsch, I. B. (2005) · New England Journal of Medicine · doi:10.1056/nejmra040832 · Cited by 667
(2009) · Archives of Internal Medicine · doi:10.1001/archinternmed.2009.193 · Cited by 653
Pickup, J. C., & Sutton, A. J. (2008) · Diabetic Medicine · doi:10.1111/j.1464-5491.2008.02486.x · Cited by 630
Misso, M. L., Egberts, K. J., Page, M., O'Connor, D., & Shaw, J. (2010) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd005103.pub2 · Cited by 406
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
Factors Predictive of Use and of Benefit From Continuous Glucose Monitoring in Type 1 Diabetes
Juvenile Diabetes Research Foundation Continuous Glucose Monitoring Study Group (2009) · Diabetes Care · doi:10.2337/dc09-0889 · Cited by 250
Research works printed but not linked: 2
- Misso ML, 2010, Cochrane Database Syst Rev, 1, CD005103
- Hermanides J, 2009, Diabetologia, 52, S43
Cited by
Sorted by citations
Items 601–700 of 894
Online Glucose Prediction in Type-1 Diabetes by Neural Network Models
Zecchin, C. (2014) · Padua@research (University of Padova) · Cited by 4
Upcoming Devices for Diabetes Management: The Artificial Pancreas as the Hallmark Device
Lee, S. W., & Welsh, J. B. (2015) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2014.0303 · Cited by 4
Diabetes Technology and Treatment in the Pediatric Age Group
Shalitin, S., & Chase, H. P. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.1512 · Cited by 4
Artificial pancreas: the bridge to a cure for type 1 diabetes
Thabit, H., Hovorka, R., & Evans, M. L. (2012) · European Diabetes Nursing · doi:10.1002/edn.207 · Cited by 4
High Glucose Variability in Hospitalized Patients with Type 1 Diabetes Mellitus
Dadlani, V., Tamhane, S. U., Sun, A.-D., Sharma, A. R., Delivanis, D. A., Thapa, P. B., Carter, R. E., & Kudva, Y. C. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0107 · Cited by 4
Eleftheriadou, I., Didangelos, T., Pappas, A. C., Anastasiou, E., Vasilopoulos, C., Zoupas, C., Manes, C., Tsatsoulis, A. A., Benroubi, M., Pangalos, E., et al. (2019) · HORMONES · doi:10.1007/s42000-019-00153-1 · Cited by 5
Hackl, L., Bonfig, W., Pozza, S. B., Lanzinger, S., Treptau, N., Raile, K., Elpel, U., Ludwig, K., Buchal, G., Holl, R. W., et al. (2021) · Pediatric Diabetes · doi:10.1111/pedi.13283 · Cited by 4
mHealth Technologies in Pre-Diabetes and Diabetes Care
Brooke, M. J., & Rege, A. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-800093-9.00016-8 · Cited by 4
Guideline Development for Medical Device Technology: Issues for Consideration
Battelino, T., Brosius, F. C., Ceriello, A., Cosentino, F., Green, J., Kellerer, M., Koob, S., Kosiborod, M., Lalic, N. M., Marx, N., et al. (2022) · Journal of Diabetes Science and Technology · doi:10.1177/19322968221093355 · Cited by 4
Continuous Glucose Monitoring in 2011
Battelino, T., & Bode, B. W. (2012) · doi:10.1002/9781118321508.ch2 · Cited by 4
Jendle, J. H., Garg, S. K., Thivolet, C., Weinstock, R. S., Hirsch, I. B., Evans, M., Griffin, K. J., Philis‐Tsimikas, A., Wheeler, B. J., Kipnes, M. S., et al. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1716587 · Cited by 3
Alzaid, A., Schlaeger, C., & Hinzmann, R. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0260 · Cited by 3
Real time continuous glucose monitoring: how does it work in real life?
Geelhoed-Duijvestijn, P. H. L. M., Box, F., Diamant, M., Otoide-Vree, M., & van Niel, J. (2011) · The British Journal of Diabetes · doi:10.1177/1474651411413500 · Cited by 3
Zöllner, Y. F., Ziegler, R., Stueve, M., Krumreich, J., & Schauf, M. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816633720 · Cited by 3
Change in hemoglobin A1c one year following the 2014 American Diabetes Association guideline update
Alonso, G. T., Pyle, L. L., & Frohnert, B. I. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.03.033 · Cited by 3
Miller, V. A., Xiao, R., & Willi, S. M. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0668 · Cited by 3
Lee, J., & Kim, J. H. (2021) · Ewha Medical Journal · doi:10.12771/emj.2021.44.3.55 · Cited by 4
Moreno-Fernández, J., Beato-Víbora, P. I., Olvera, P., García-Seco, J. A., Gallego-Gamero, F., Herrera, M. T., & Muñoz‐Rodríguez, J. R. (2021) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.109093 · Cited by 3
Engineers in Medicine: Foster Innovation by Traversing Boundaries
Mann, M., Qavi, I., Zhang, N., & Tan, G. Z. (2023) · Critical Reviews in Biomedical Engineering · doi:10.1615/critrevbiomedeng.2023047838 · Cited by 4
Alnaim, N., Ghadeer, H. A. A., Albunyan, A., Almulhem, A., Alsaleh, Y., AlHelal, M., Almugaizel, I., Alhashim, Z., Alhamrani, A. M., & Bosrour, Z. A. A. (2024) · Cureus · doi:10.7759/cureus.54123 · Cited by 4
Donbaloğlu, Z., Çetiner, E. B., Tuhan, H., & Parlak, M. (2024) · Turkish Archives of Pediatrics · doi:10.5152/turkarchpediatr.2024.24093 · Cited by 3
On the Management of Hyperglycaemia in Critically Ill Patients Undergoing Surgery
Nomikos, I. N. (2012) · Journal of Clinical Medicine Research · doi:10.4021/jocmr604w · Cited by 3
Aristizábal, N., Ramírez, Á., Hincapié-García, J. A., Laiton, E., Aristizábal, C., Cuesta, D., Monsalve, C., Hincapié, G. M. S., Zapata, E., Abad, V., et al. (2015) · Endocrinología y Nutrición · doi:10.1016/j.endonu.2015.05.014 · Cited by 5
Continuous Glucose Monitoring Efficacy in Routine Use
Battelino, T. (2018) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-00275 · Cited by 3
Pharmacotherapy of Children and Adolescents with Type 1 Diabetes Mellitus
Kapellen, T. M. (2019) · Handbook of experimental pharmacology · doi:10.1007/164_2019_245 · Cited by 3
Type 1 Diabetes Home Care Project and Educational Consultation
Shin, E. C. (2020) · Journal of Korean Diabetes · doi:10.4093/jkd.2020.21.2.88 · Cited by 4
Sánchez-Cardona, Y., Echeverri-Cuartas, C. E., López, M. E. L., & Moreno‐Castellanos, N. (2021) · IEEE International Congress of Biomedical Engineering and Bioengineering (CI-IB&BI) · doi:10.1109/ci-ibbi54220.2021.9626060 · Cited by 3
La variabilité glycémique : un facteur de risque singulier à conjuguer au pluriel
Monnier, L., Colette, C., Bonnet, F., & Owens, D. R. (2021) · Médecine des Maladies Métaboliques · doi:10.1016/j.mmm.2021.11.003 · Cited by 3
Lepore, G., & Tomaselli, L. G. (2014) · Frontiers in diabetes · doi:10.1159/000363486 · Cited by 3
Maurizi, A. R., SURACI, C., Pitocco, D., Schiaffini, R., Tubili, C., Morviducci, L., Giordano, R., Manfrini, S., Lauro, D., Frontoni, S., et al. (2015) · Journal of Diabetes · doi:10.1111/1753-0407.12321 · Cited by 3
Rationale for the use of Insulin Pumps and Continuous Glucose Monitoring in Adult Patients
Garg, S. K. (2012) · Endocrine Practice · doi:10.4158/ep12250.or · Cited by 3
Skolnik, A. B., & Ewald, M. B. (2010) · Journal of Medical Toxicology · doi:10.1007/s13181-010-0110-x · Cited by 3
Analysis: High-Tech Diabetes Technology and the Myth of Clinical “Plug and Play”
WEINZIMER, S. A. (2010) · Journal of Diabetes Science and Technology · doi:10.1177/193229681000400621 · Cited by 3
Lacruz, M. T., Castellanos, R. B., Cuartero, B. G., Gila, A. L. G., Casado, I. G., López, F. H., Tomás, C. L., Irigoyen, M. O., Etxebarria, I. R., & Rigual, M. R. (2011) · Anales de Pediatría · doi:10.1016/j.anpedi.2011.02.009 · Cited by 3
Medina, A. M. G., & Sánchez, A. M. (2011) · Avances en Diabetología · doi:10.1016/j.avdiab.2011.08.003 · Cited by 3
Update on Treatment of Type 1 Diabetes in Childhood
Ludvigsson, J. (2013) · Current Pediatrics Reports · doi:10.1007/s40124-013-0012-x · Cited by 3
Hirsch, I. B., & Skyler, J. S. (2011) · Springer eBooks · doi:10.1007/978-1-4614-1028-7_5 · Cited by 3
Sarikonda, G., Pettus, J., Sachithanantham, S., Phatak, S., Miller, J. F., Ganesan, L., Chae, J., Mallios, R., Edelman, S. V., Peters, B., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0079383 · Cited by 3
Le diabète de type 1 chez les enfants et les adolescents
Wherrett, D. K., Huot, C., Mitchell, B. D., & Pacaud, D. (2013) · Canadian Journal of Diabetes · doi:10.1016/j.jcjd.2013.07.049 · Cited by 6
Deus ex machina: The use of technology in type 1 diabetes
Kerr, D. E., & Partridge, H. (2011) · Primary care diabetes · doi:10.1016/j.pcd.2010.11.001 · Cited by 3
Stadler, M., Zlamal-Fortunat, S., Schütz-Fuhrmann, I., Rami-Merhar, B. M., Schober, E., Kautzky‐Willer, A., Weitgasser, R., Prager, R., & Bischof, M. G. (2012) · Wiener klinische Wochenschrift · doi:10.1007/s00508-012-0287-x · Cited by 3
Patrascioiu, I., Quirós, C., Ríos, P., Ruíz, M., Mayordomo, R., Conget, I., & Giménez, M. (2014) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0266 · Cited by 3
Drever, E., & Feig, D. S. (2012) · Obstetric Medicine · doi:10.1258/om.2012.120026 · Cited by 3
Duran-Valdez, E., Burge, M. R., Broderick, P., Shey, L., Valentine, V., Schrader, R., & Schade, D. S. (2014) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0297 · Cited by 3
Sensor Life and Overnight Closed Loop: A Randomized Clinical Trial
Tauschmann, M., Allen, J. M., Wilinska, M. E., Ruan, Y., Thabit, H., Acerini, C. L., Dunger, D. B., & Hovorka, R. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816678631 · Cited by 3
Biester, T., Remus, K., Holder, M., Aschemeier, B., Kieninger‐Baum, D., Wadien, T., Kordonouri, O., Danne, T., & Thomas, A. (2017) · Diabetologie und Stoffwechsel · doi:10.1055/s-0043-114867 · Cited by 3
How modern technologies improve daily diabetic control
Gaweł, W., Tabor, A., Kamińska, H., Deja, G., & Jarosz-Chobot, P. A. (2018) · Pediatric Endocrinology Diabetes and Metabolism · doi:10.5114/pedm.2018.80996 · Cited by 3
de Leiva, A., Brugués, E., & de Leiva-Pérez, A. (2011) · Avances en Diabetología · doi:10.1016/s1134-3230(11)70005-9 · Cited by 3
Diagnosis, Therapy and Follow-Up of Diabetes Mellitus in Children and Adolescents
Holder, M., Kapellen, T. M., Ziegler, R., Bürger-Büsing, J., Danne, T., Dost, A., Holl, R. W., Holterhus, P., Karges, B., Kordonouri, O., et al. (2022) · Experimental and Clinical Endocrinology & Diabetes · doi:10.1055/a-1624-3388 · Cited by 4
Hartemann, A., & Bourron, O. (2011) · Médecine des Maladies Métaboliques · doi:10.1016/s1957-2557(11)70244-9 · Cited by 3
New technical approach to the diabetes therapy
Dovč, K., & Battelino, T. (2020) · Minerva Pediatrics · doi:10.23736/s0026-4946.20.05865-x · Cited by 3
Type 1 Diabetes in Children and Adolescents
Hu, P., Name, M. A. V., Stephenson, K., Sikes, K. A., & Tamborlane, W. V. (2024) · Springer eBooks · doi:10.1007/978-3-031-66296-6_30 · Cited by 3
Diabetes care in South Africa: A tale of two sectors
Landau, S., & May, W. (2013) · South African Medical Journal · doi:10.7196/samj.7010 · Cited by 3
Scaramuzza, A. E., & Zuccotti, G. (2010) · Evidence-Based Child Health A Cochrane Review Journal · doi:10.1002/ebch.625 · Cited by 3
Sensor-Augmented Insulin-Pump Therapy in Type 1 Diabetes
Kerr, D. E. (2010) · New England Journal of Medicine · doi:10.1056/nejmc1009685 · Cited by 3
Tagawa, K., Matsui, K., Tsukamura, A., Shibata, M., Tsutsui, H., Nagai, S., & Maruo, Y. (2024) · Clinical Pediatric Endocrinology · doi:10.1297/cpe.2023-0062 · Cited by 3
Fuchigami, A., Kojimahara, Y., Yoshikawa, F., Higa, M., Ichijyo, T., Ikehara, K., Uchino, H., & Hirose, T. (2024) · Diabetology International · doi:10.1007/s13340-024-00778-7 · Cited by 2
Tremblay, E. S., & Laffel, L. M. (2025) · Journal of Diabetes Science and Technology · doi:10.1177/19322968251345836 · Cited by 2
Khowaja, A. A., Adil, L., Dwyer, T., Barrett, T. S., & Alkhaddo, J. B. (2025) · Diabetes Epidemiology and Management · doi:10.1016/j.deman.2025.100274 · Cited by 2
Huang, S., Fu, Y., Kong, S., Liu, Y., & Yan, J. X. (2026) · Biosensors · doi:10.3390/bios16010047 · Cited by 2
‘Get going and stay going’ with pump therapy – educating adolescents about pumps
Thompson, R. J. (2011) · Paediatrics and Child Health · doi:10.1016/j.paed.2011.05.005 · Cited by 2
Chamberlain, J. J., & Gilgen, E. (2014) · Clinical Diabetes · doi:10.2337/diaclin.32.4.186 · Cited by 2
7 th Annual Symposium on Self-Monitoring of Blood Glucose (SMBG), May 8–10, 2014, Helsinki, Finland
Parkin, C. G., Mlinac, A., & Hinzmann, R. (2014) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2014.0239 · Cited by 2
Existing and Potential Applications of Glucose Prediction Models
Georga, E. I., Fotiadis, D. I., & Tigas, S. K. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804831-3.00009-1 · Cited by 3
Kontinuierliche Glukosemessung
Gehr, B., & Biester, T. (2018) · Der Diabetologe · doi:10.1007/s11428-018-0383-2 · Cited by 2
Botero, J. F., Vásquez, L. M., Blanco, V. M., Cuesta, D., Rincón, A. R., Bedoya, J., & Palacio, A. (2021) · Endocrinología Diabetes y Nutrición · doi:10.1016/j.endinu.2020.11.006 · Cited by 2
Diagnostik, Therapie und Verlaufskontrolle des Diabetes mellitus im Kindes- und Jugendalter
Neu, A., Bürger-Büsing, J., Danne, T., Dost, A., Holder, M., Holl, R. W., Holterhus, P., Kapellen, T. M., Karges, B., Kordonouri, O., et al. (2023) · Die Diabetologie · doi:10.1007/s11428-023-01048-x · Cited by 2
Toffanin, C., & Magni, L. (2023) · Control Engineering Practice · doi:10.1016/j.conengprac.2023.105578 · Cited by 2
Clinical Practice Update: Inpatient Insulin Pump and Integrated Insulin Delivery Systems
Nguyen, S., Davis, G. M., & Vasudevan, M. M. (2023) · Contemporary Endocrinology · doi:10.1007/978-3-031-44648-1_7 · Cited by 2
Durmanova, A., Slyamova, G., Rakhimzhanova, M., Gusmanov, A., Zhakanova, G., Abduakhassova, G., Issabayeva, A., Nurgaliyeva, A., Alzhaxina, A., Umerzakova, A., et al. (2024) · Electronic Journal of General Medicine · doi:10.29333/ejgm/14403 · Cited by 2
Tamura, R. K., Kodani, N., Itoh, A., Meguro, S., Kajio, H., & Itoh, H. (2024) · Diabetology International · doi:10.1007/s13340-024-00716-7 · Cited by 2
How Important Is a Closed‐Loop Artificial Pancreas?
Foltyński, P. (2018) · Artificial Organs · doi:10.1111/aor.13338 · Cited by 2
Diabetes Technology and Therapy in the Pediatric Age Group
Maahs, D. M., Addala, A., & Shalitin, S. (2022) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2022.2507 · Cited by 2
Insulin, other hypoglycemic drugs, and glucagon
Page, R. C. (2010) · Side effects of drugs annual · doi:10.1016/s0378-6080(10)32042-3 · Cited by 2
Arangasamy, R. (2014) · American Journal of Applied Sciences · doi:10.3844/ajassp.2014.433.447 · Cited by 2
Making Progress Toward Closed-Loop Insulin Pump Technology for Patients With Diabetes Mellitus
Garg, S. K., & Tamborlane, W. V. (2012) · Endocrine Practice · doi:10.4158/ep12252.or · Cited by 2
Improving Care of Patients With Insulin Pumps During Hospitalization
Buchko, B. L., Artz, B., Dayhoff, S., & March, K. S. (2012) · Journal of Nursing Care Quality · doi:10.1097/ncq.0b013e3182595881 · Cited by 2
Therapeutics in pediatric diabetes: Insulin and non-insulin approaches
Kim, J., Kim, S. M., Nguyen, H. C. T., & REDONDO, M. J. (2011) · Pharmacological Research · doi:10.1016/j.phrs.2011.08.011 · Cited by 2
Sensor‐augmented pump therapy: review of new NICE diagnostic guidance
Raj, S., & Chakera, A. J. (2016) · Practical Diabetes · doi:10.1002/pdi.1999 · Cited by 2
Diabetes mellitus, insulin, oral antidiabetes agents, obesity
Evans, M. L. (2012) · Elsevier eBooks · doi:10.1016/b978-0-7020-4084-9.00075-6 · Cited by 3
Beta Cell Therapies for Type 1 Diabetes
Hawthorne, W. J. (2016) · Stem cell biology and regenerative medicine · doi:10.1007/978-3-319-45307-1_12 · Cited by 2
Diabetes Technology and Therapy in the Pediatric Age Group
Shalitin, S., & Chase, H. P. (2015) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2015.1512 · Cited by 2
Sieradzki, J., Cyganek, K., Cypryk, K., Wender-Ożegowska, E., Skoczylas, K., Runzis, S., & Shin, J. H. (2018) · Clinical Diabetology · doi:10.5603/dk.2018.0009 · Cited by 2
Glycemic sensors in treatment of diabetes
Šoupal, J. (2018) · Praktické lékárenství · doi:10.36290/lek.2018.050 · Cited by 2
Coronel-Restrepo, N., Blanco, V. M., Palacio, A., Rincón, A. R., Arbeláez, S., Duque, V., Pino, J. J., Carvajal, J. A., Bedoya, J., Cuesta, D., et al. (2021) · Endocrinología Diabetes y Nutrición (English ed ) · doi:10.1016/j.endien.2021.11.009 · Cited by 2
Chow, E., & Heller, S. R. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8684-8_34 · Cited by 2
Michigan diabetes knowledge test: validation of modified version among Czech students of nursing
Kudlová, P., Kočvarová, I., & Soukup, P. (2022) · Kontakt · doi:10.32725/kont.2022.018 · Cited by 2
Architecture and Applications of IoT Devices in Socially Relevant Fields
Lakshman, S. A., Akash, S., Cynthia, J., Gautam, R., & Ebenezer, D. (2024) · SN Computer Science · doi:10.1007/s42979-024-03159-8 · Cited by 6
Pathophysiology and Management of Type 1 Diabetes
Georga, E. I., Fotiadis, D. I., & Tigas, S. K. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-804831-3.00002-9 · Cited by 2
Schütz-Fuhrmann, I., Rami-Merhar, B. M., Hofer, S. E., Fröhlich-Reiterer, E. E., Mader, J. K., Stadler, M., Bischof, M. G., Zlamal-Fortunat, S., Laimer, M. W., & Weitgasser, R. (2019) · Wiener klinische Wochenschrift · doi:10.1007/s00508-019-1465-x · Cited by 2
Insulinpumpentherapie bei Kindern, Jugendlichen und Erwachsenen (Update 2019)
Schütz-Fuhrmann, I., Stadler, M., Zlamal-Fortunat, S., Rami-Merhar, B. M., Fröhlich-Reiterer, E. E., Hofer, S. E., Mader, J. K., Resl, M., Bischof, M. G., Kautzky‐Willer, A., et al. (2019) · Wiener klinische Wochenschrift · doi:10.1007/s00508-019-1485-6 · Cited by 2
Hypoglycaemia in Children with Diabetes
Matyka, K. A. (2013) · Wiley eBooks · doi:10.1002/9781118695432.ch10 · Cited by 2
Rousset, M. (2015) · Diabetes & Metabolism · doi:10.1016/s1262-3636(15)30188-9 · Cited by 2
Glucose sensing technology—current practice?
Forde, H. E., Browne, S., Smith, D., & Tormey, W. P. (2018) · Irish Journal of Medical Science (1971 -) · doi:10.1007/s11845-018-1800-7 · Cited by 3
An Improved Adaptive Glucose Control Approach for Type 1 Diabetes with Temporal Dependence
Lei, J., Sun, X., Li, Y., Li, K., Zhang, S., Zeng, H., Qin, A. H., Chi, E., & Zhang, Y. (2024) · International Conference on Computational Intelligence and Applications (ICCIA) · doi:10.1109/iccia62557.2024.10719265 · Cited by 1
Using Diabetes Technology in Hospitalized Patients
McCrea, D. L. (2024) · Critical Care Nursing Clinics of North America · doi:10.1016/j.cnc.2024.07.001 · Cited by 1
Future Trends in AI and Smart Healthcare
Kaur, A., Sandhu, R., Kaur, G., & Ghai, D. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-3311-3.ch015 · Cited by 1
Valdez, Y., Parimi, N., Kim, Y. C., Brown, E. A., Sidhaye, A. R., Wolf, R. M., & Mathioudakis, N. N. (2026) · Journal of Diabetes Science and Technology · doi:10.1177/19322968261417375 · Cited by 1
Soliman, A., Hamour, B., Hammad, A., Yousry, O., Samy, S., Hussein, A., Elmorsy, S. A., Nabeh, O. A., Elkholy, E. M., & Salam, R. (2026) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-026-01880-0 · Cited by 1
Li, Z.-H., Jiang, J.-G., Zhu, Z.-Y., Luo, C., Xu, C., Chen, C.-P., Ren, G.-Q., Huang, R.-F., & He, D.-J. (2026) · Frontiers in Endocrinology · doi:10.3389/fendo.2026.1825247 · Cited by 1
Metadata
- Authors
- Bergenstal, R. M., Tamborlane, W. V., Ahmann, A., Buse, J. B., Dailey, G., Davis, S. N., Joyce, C., Peoples, T., Perkins, B. A., Welsh, J. B., Willi, S. M., & Wood, M. A.
- Affiliations
- Park Nicollet Health Services (US)
- Yale University (US)
- Oregon Health & Science University (US)
- University of North Carolina at Chapel Hill (US)
- University of Maryland, Baltimore (US)
- Memorial University of Newfoundland (CA)
- Toronto General Hospital (CA)
- Children's Hospital of Philadelphia (US)
- Helen DeVos Children's Hospital (US)
- ORCID
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2010-07-22
- Volume
- 363
- Issue
- 4
- Pages
- 311-320
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- OpenAlex
- W2142433802
- Cited by
- 894
- References
- 12
- Citations by year
- 2026: 18 · 2025: 25 · 2024: 38 · 2023: 28 · 2022: 41 · 2021: 50 · 2020: 43 · 2019: 55 · 2018: 66 · 2017: 62 · 2016: 71 · 2015: 78 · 2014: 63 · 2013: 65 · 2012: 88
- FWCI
- 61.06
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK079637)
- 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
- type 1 diabetes, sensor-augmented insulin pump therapy, multiple daily insulin injections, HbA1c, glycemic control, hypoglycemia, insulin analogues, children and adults, weight gain
- MeSH terms
- Adolescent, Adult, Analysis of Variance, Child, Diabetes Mellitus, Type 1, Female, Glycated Hemoglobin, Humans, Hypoglycemia, Injections, Subcutaneous, Insulin, Insulin Infusion Systems, Male, Middle Aged, Diabetic Ketoacidosis, Treatment Outcome, Monitoring, Ambulatory, Young Adult
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