Real-World Patient-Reported Outcomes and Glycemic Results with Initiation of Control-IQ Technology

Pinsker, Jordan E.; Müller, Lars; Constantin, Alexandra; Leas, Scott; Manning, Michelle; McElwee Malloy, Molly; Singh, Harsimran; Habif, Steph

doi:10.1089/dia.2020.0388

Cited by 147Diabetes Management and ResearchDiabetes Management and EducationDiabetes and associated disorders

Real-World Patient-Reported Outcomes and Glycemic Results with Initiation of Control-IQ Technology

Open access

Pinsker, Jordan E., Müller, Lars, Constantin, Alexandra, Leas, Scott, Manning, Michelle, McElwee Malloy, Molly, Singh, Harsimran, Habif, Steph·2021·Diabetes Technology & Therapeutics

DOI 10.1089/dia.2020.0388PMC PMC7868573

Open this paper in CoChat — free account

Abstract

Background: The t:slim X2™ insulin pump with Control-IQ™ technology, an advanced hybrid closed-loop system, became available in the United States in early 2020. Real-world outcomes with use of this system have not yet been comprehensively reported. Methods: Individuals with type 1 diabetes (T1D) (≥14 years of age) who had ≥21 days of pump usage data were invited via email to participate. Participants completed psychosocial questionnaires (Technology Acceptance Scale [TAS], well-being index [WHO-5], and Diabetes Impact and Devices Satisfaction [DIDS] scale) at timepoint 1 (T1) (at least 3 weeks after starting Control-IQ technology) and the DIDS and WHO-5 at timepoint 2 (T2) (4 weeks from T1). Patient-reported outcomes (PROs) and glycemic outcomes were reviewed at each timepoint. Results: Overall, 9,085 potentially eligible individuals received the study invite. Of these, 3,116 consented and subsequently 1,435 participants completed questionnaires at both T1 and T2 and had corresponding glycemic data available on the t:connect ® web application. Time in range was 78.2% (70.2%–85.1%) at T1 and 79.2% (70.3%–86.2%) at T2. PROs reflected high device-related satisfaction and reduced diabetes impact at T2. Factors contributing to high trust in the system included sensor accuracy, improved diabetes control, reduction in extreme blood glucose levels, and improved sleep quality. In addition, participants reported improved quality of life, ease of use, and efficient connectivity to the continuous glucose monitoring system as being valuable features of the system. Conclusions: Continued real-world use of the t:slim X2 pump with Control-IQ technology showed improvements in psychosocial outcomes and persistent achievement of recommended TIR glycemic outcomes in people with T1D.

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

Crossref · 10.1089/dia.2020.0388

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

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?

Automated insulin delivery systems have greater benefits than insulin pumps and CGM alone.
“Automated insulin delivery systems (AID), which integrate insulin pumps and CGM, have even greater benefits.”
From Social disadvantage and technology use among adults with type 1 diabetes in Quebec: A cross‐sectional study using data from the Canadian <scp>T1D</scp> ( <scp>BETTER</scp> ) Registry (2025) · cites this paper as [6]
The Introduction (page not available) reports that one AID system, Control-IQ, improved time in range compared with a sensor-augmented pump in people with type 1 diabetes. That supports a benefit beyond pump-and-CGM use alone, but the comparison does not establish the claim for AID systems generally or for benefits beyond the reported glycemic outcome. (LLM, conf=0.82)
Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range
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 4,032 · cited 1× · see citing works
“Sensor-glucose values leading up to each survey time point were analyzed per recent international consensus statement and ADA guidelines, 14,15 to include mean glucose, coefﬁ-cient of variation, TIR 70–180 mg/dL, time > 180 mg/dL, time > 250 mg/dL, time 70 mg/dL, and time 54 mg/dL, with the…”
State of Type 1 Diabetes Management and Outcomes from the T1D Exchange in 2016–2018
Foster, N. C., Beck, R. W., Miller, K. M., Clements, M. A., Rickels, M. R., DiMeglio, L. A., Maahs, D. M., Tamborlane, W. V., Bergenstal, R., Smith, E., et al. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0384 · Cited by 1,907 · see citing works
Six-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 · see citing works
Self-citation
6. Glycemic Targets: <i>Standards of Medical Care in Diabetes—2020</i>
American Diabetes Association (2020) · Diabetes Care · doi:10.2337/dc20-s006 · Cited by 744 · see citing works
Predictive low-glucose suspend reduces hypoglycemia in adults, adolescents, and children with type 1 diabetes in an at-home randomized crossover study: results of the PROLOG trial
Forlenza, G. P., Li, Z., Buckingham, B. A., Pinsker, J. E., Cengiz, E., Wadwa, R. P., Ekhlaspour, L., Church, M. M., Weinzimer, S. A., Jost, E., et al. (2018) · Diabetes Care · doi:10.2337/dc18-0771 · Cited by 246 · see citing works
Self-citation
Psychometric and screening properties of the WHO‐5 well‐being index in adult outpatients with Type 1 or Type 2 diabetes mellitus
Hajos, T. R. S., Pouwer, F., Skovlund, S. E., Oudsten, B. L. D., Geelhoed-Duijvestijn, P. H. L. M., Tack, C. J., & Snoek, F. J. (2012) · Diabetic Medicine · doi:10.1111/dme.12040 · Cited by 222 · see citing works
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 · see citing works
Closing the Loop in Adults, Children and Adolescents With Suboptimally Controlled Type 1 Diabetes Under Free Living Conditions: A Psychosocial Substudy
Barnard, K. D., Wysocki, T., Ully, V., Mader, J. K., Pieber, T. R., Thabit, H., Tauschmann, M., Leelarathna, L., Hartnell, S., Acerini, C. L., et al. (2017) · Journal of Diabetes Science and Technology · doi:10.1177/1932296817702656 · Cited by 131 · see citing works
Optimizing Hybrid Closed-Loop Therapy in Adolescents and Emerging Adults Using the MiniMed 670G System
Messer, L. H., Forlenza, G. P., Sherr, J. L., Wadwa, R. P., Buckingham, B. A., WEINZIMER, S. A., Maahs, D. M., & Slover, R. H. (2018) · Diabetes Care · doi:10.2337/dc17-1682 · Cited by 126 · see citing works
Retrospective Analysis of 3-Month Real-World Glucose Data After the MiniMed 670G System Commercial Launch
Stone, M. P., Agrawal, P. K., Chen, X., Liu, M., Shin, J., Cordero, T. L., & KAUFMAN, F. R. (2018) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2018.0202 · Cited by 114 · see citing works
A clinical guide to advanced diabetes devices and closed-loop systems using the CARES paradigm
Messer, L. H., Berget, C., & Forlenza, G. P. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0105 · Cited by 100 · see citing works
Six-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. (2020) · Yearbook of pediatric endocrinology · doi:10.1530/ey.17.10.13 · Cited by 95 · see citing works
Self-citation
Increased proportion of time in hybrid closed‐loop “Auto Mode” is associated with improved glycaemic control for adolescent and young patients with adult type 1 diabetes using the MiniMed 670G insulin pump
Duffus, S. H., Ta’ani, Z. A., Slaughter, J. C., Niswender, K. D., & Gregory, J. M. (2019) · Diabetes Obesity and Metabolism · doi:10.1111/dom.13912 · Cited by 55 · see citing works
Glycemic Outcomes of Use of CLC Versus PLGS in Type 1 Diabetes: A Randomized Controlled Trial
Brown, S. A., Beck, R. W., Raghinaru, D., Buckingham, B. A., Laffel, L. M., Wadwa, R. P., Kudva, Y. C., Levy, C. J., Pinsker, J. E., Dassau, E., et al. (2020) · Diabetes Care · doi:10.2337/dc20-0124 · Cited by 55 · see citing works
Self-citation
Psychosocial impact of the bionic pancreas during summer camp
Weissberg-Benchell, J., Hessler, D., Polonsky, W. H., & Fisher, L. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816640289 · Cited by 47 · see citing works
Impact of Chronic Sleep Disturbance for People Living With T1 Diabetes
Barnard, K. D., James, J., Kerr, D. E., Adolfsson, P., Runion, A., & Serbedzija, G. N. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296815619181 · Cited by 38 · see citing works
What Training, Support, and Resourcing Do Health Professionals Need to Support People Using a Closed-Loop System? A Qualitative Interview Study with Health Professionals Involved in the Closed Loop from Onset in Type 1 Diabetes (CLOuD) Trial
Kimbell, B., Rankin, D., Ashcroft, N. L., Varghese, L., Allen, J. M., Boughton, C. K., Campbell, F., Ghatak, A., Randell, T. L., Besser, R. E. J., et al. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0466 · Cited by 34 · see citing works
Safety and Efficacy of Initializing the Control-IQ Artificial Pancreas System Based on Total Daily Insulin in Adolescents with Type 1 Diabetes
Schoelwer, M. J., Robic, J. L., Gautier, T., Fabris, C., Carr, K., Oliveri, M. C., Brown, S. A., Anderson, S. M., DeBoer, M. D., Cherñavvsky, D. R., et al. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0471 · Cited by 32 · see citing works
Advances in Closed-Loop Insulin Delivery Systems in Patients with Type 1 Diabetes
Dadlani, V., Pinsker, J. E., Dassau, E., & Kudva, Y. C. (2018) · Current Diabetes Reports · doi:10.1007/s11892-018-1051-z · Cited by 30 · see citing works
Self-citation
Reducing Hypoglycemia in the Real World: A Retrospective Analysis of Predictive Low-Glucose Suspend Technology in an Ambulatory Insulin-Dependent Cohort
Müller, L., HABIF, S., LEAS, S. A., & Aronoff-Spencer, E. S. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0190 · Cited by 24 · see citing works
Self-citation
The Development and Psychometric Validation of the Diabetes Impact and Device Satisfaction Scale for Individuals with Type 1 Diabetes
Manning, M. L., Singh, H., STONER, K. C., & HABIF, S. (2020) · Journal of Diabetes Science and Technology · doi:10.1177/1932296819897976 · Cited by 24 · see citing works
Self-citation
Real-World Improvements in Hypoglycemia in an Insulin-Dependent Cohort With Diabetes Mellitus Pre/Post Tandem Basal-Iq Technology Remote Software Update
Pinsker, J. E., LEAS, S. A., Müller, L., & HABIF, S. (2020) · Endocrine Practice · doi:10.4158/ep-2019-0554 · Cited by 22 · see citing works
Self-citation
Clinical Management and Pump Parameter Adjustment of the Control-IQ Closed-Loop Control System: Results from a 6-Month, Multicenter, Randomized Clinical Trial
O’Malley, G., Messer, L. H., Levy, C. J., Pinsker, J. E., Forlenza, G. P., ISGANAITIS, E. M., Kudva, Y. C., Ekhlaspour, L., Raghinaru, D., Lum, J. W., et al. (2020) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0472 · Cited by 22 · see citing works
Self-citation
Nonadjunctive Use of Continuous Glucose Monitoring: The End of Fingersticks?
Beck, R. W., Brown, S. A., Lum, J. W., & Kovatchev, B. P. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0387 · Cited by 6 · see citing works
Exceptional Usability of Tandem t:slim X2 with Basal-IQ Predictive Low-Glucose Suspend (PLGS)—The PROLOG Study
Pinsker, J. E., Li, Z., Buckingham, B. A., Forlenza, G. P., Cengiz, E., Church, M. M., Ekhlaspour, L., Wadwa, R. P., WEINZIMER, S. A., ANDRE, C. C., et al. (2018) · Diabetes · doi:10.2337/db18-86-lb · Cited by 5 · see citing works
Self-citation
Late Breaking Abstracts
adults., G. C. I. A. A. Y. A. W. T. 1. D. (. R. S. A. I. D. (. I. A. P. A. T. I. G. O. W. A. E. A. S. O. A. C.-L. C. (. A. S. I. T. A. Y. (2019) · Pediatric Diabetes · doi:10.1111/pedi.12925 · Cited by 4 · see citing works
126-LB: Glycemic Outcomes for People with Type 1 and Type 2 Diabetes Using Control-IQ Technology: Real-World Data from Early Adopters
HABIF, S., CONSTANTIN, A., Müeller, L., & Singh, H. (2020) · Diabetes · doi:10.2337/db20-126-lb · Cited by 3 · see citing works
Self-citation
95-LB: Control-IQ Technology in the Real World: The First 30 Days
Müeller, L., CONSTANTIN, A., Singh, H., & HABIF, S. (2020) · Diabetes · doi:10.2337/db20-95-lb · Cited by 1 · see citing works
Self-citation

Flagged first, then by citations

Research works printed but not linked: 2

[26]O'Malley G, Henderson R, Levy C, et al.: Clinical management of a closed-loop control (CLC) System: results from a 6-month multicenter randomized clinical trial (RCT). J Diabetes Sci Technol 2020; 14: A78 PMC8114941 33155824
[27]Isganaitis E, Raghinaru D, Ambler-Osborn L, et al.: Closed-loop control (CLC) in teens and young adults improves glycemic control: results from a 6-month multicenter randomized clinical trial (RCT). Pediatr Diabetes 2019; 20: 23231663191

Sorted by citations

Real-world data: A brief review of the methods, applications, challenges and opportunities
Liu, F., & Panagiotakos, D. (2022) · BMC Medical Research Methodology · doi:10.1186/s12874-022-01768-6 · Cited by 496 · see citing works
Safety and Glycemic Outcomes During the MiniMed™ Advanced Hybrid Closed-Loop System Pivotal Trial in Adolescents and Adults with Type 1 Diabetes
Carlson, A. L., Sherr, J. L., Shulman, D. I., Garg, S. K., Pop-Busui, R., Bode, B. W., Lilenquist, D. R., Brazg, R. L., Kaiserman, K. B., Kipnes, M. S., et al. (2022) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0319 · Cited by 230 · see citing works
A Systematic Review of Commercial Hybrid Closed-Loop Automated Insulin Delivery Systems
Peacock, S., Frizelle, I., & Hussain, S. (2023) · Diabetes Therapy · doi:10.1007/s13300-023-01394-5 · Cited by 122 · see citing works
International Society for Pediatric and Adolescent Diabetes Clinical Practice Consensus Guidelines 2024: Diabetes Technologies – Insulin Delivery
Biester, T., Berget, C., Boughton, C. K., Cudizio, L., Ekhlaspour, L., Hilliard, M. E., Reddy, L., Sap, S. N. U., Schoelwer, M. J., Sherr, J. L., et al. (2024) · Hormone Research in Paediatrics · doi:10.1159/000543034 · Cited by 110 · see citing works
Impact of glycaemic technologies on quality of life and related outcomes in adults with type 1 diabetes: A narrative review
Speight, J., Choudhary, P., Wilmot, E. G., Hendrieckx, C., Forde, H., Cheung, W. Y., Crabtree, T., Millar, B., Traviss‐Turner, G., Hill, A., et al. (2023) · Diabetic Medicine · doi:10.1111/dme.14944 · Cited by 92 · see citing works
Patient-Reported Outcomes in a Randomized Trial of Closed-Loop Control: The Pivotal International Diabetes Closed-Loop Trial
Kudva, Y. C., Laffel, L. M., Brown, S. A., Raghinaru, D., Pinsker, J. E., Ekhlaspour, L., Levy, C. J., Messer, L. H., Kovatchev, B. P., Lum, J. W., et al. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0089 · Cited by 68 · see citing works
Self-citation
Real-World Evidence and Glycemic Improvement Using Dexcom G6 Features
Aktürk, H. K., Dowd, R., Shankar, K., & Derdzinski, M. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0654 · Cited by 67 · see citing works
Improved technology satisfaction and sleep quality with Medtronic MiniMed® Advanced Hybrid Closed-Loop delivery compared to predictive low glucose suspend in people with Type 1 Diabetes in a randomized crossover trial
Wheeler, B. J., Collyns, O. J., Meier, R. A., Betts, Z. L., Frampton, C., Frewen, C. M., Galland, B. C., Hewapathirana, N. M., Jones, S., Chan, D. S., et al. (2021) · Acta Diabetologica · doi:10.1007/s00592-021-01789-5 · Cited by 68 · see citing works
Current treatment options and challenges in patients with Type 1 diabetes: Pharmacological, technical advances and future perspectives
Boscari, F., & Avogaro, A. (2021) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-021-09635-3 · Cited by 65 · see citing works
Diabeloop DBLG1 Closed-Loop System Enables Patients With Type 1 Diabetes to Significantly Improve Their Glycemic Control in Real-Life Situations Without Serious Adverse Events: 6-Month Follow-up
Amadou, C., Franc, S., Benhamou, P., Lablanche, S., Huneker, E., Charpentier, G., & Penfornis, A. (2021) · Diabetes Care · doi:10.2337/dc20-1809 · Cited by 60 · see citing works
How introduction of automated insulin delivery systems may influence psychosocial outcomes in adults with type 1 diabetes: Findings from the first investigation with the Omnipod® 5 System
Polonsky, W. H., Hood, K. K., Levy, C. J., MacLeish, S. A., Hirsch, I. B., Brown, S. A., Bode, B. W., Carlson, A. L., Shah, V. N., Weinstock, R. S., et al. (2022) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2022.109998 · Cited by 60 · see citing works
Real‐world evidence on clinical outcomes of people with type 1 diabetes using open‐source and commercial automated insulin dosing systems: A systematic review
Knoll, C., Peacock, S., Wäldchen, M., Cooper, D., Aulakh, S. K., Raile, K., Hussain, S., & Braune, K. (2021) · Diabetic Medicine · doi:10.1111/dme.14741 · Cited by 58 · see citing works
Real world use of hybrid‐closed loop in children and young people with type 1 diabetes mellitus—a National Health Service pilot initiative in England
Ng, S. M., Wright, N. P., Yardley, D., Campbell, F., Randell, T. L., Trevelyan, N., Ghatak, A., & Hindmarsh, P. C. (2022) · Diabetic Medicine · doi:10.1111/dme.15015 · Cited by 57 · see citing works
A Multicenter Prospective Evaluation of the Benefits of Two Advanced Hybrid Closed-Loop Systems in Glucose Control and Patient-Reported Outcomes in a Real-world Setting
Beato-Víbora, P. I., Chico, A. I., Moreno-Fernández, J., Bellido, V., Nattero‐Chávez, L., César, M. J. P., Martínez‐Brocca, M. A., Giménez, M., Aguilera, E., Climent, E., et al. (2023) · Diabetes Care · doi:10.2337/dc23-1355 · Cited by 57 · see citing works
Effect of automated insulin delivery systems on person-reported outcomes in people with diabetes: a systematic review and meta-analysis
Roos, T., Hermanns, N., Groß, C., Kulzer, B., Haak, T., & Ehrmann, D. (2024) · EClinicalMedicine · doi:10.1016/j.eclinm.2024.102852 · Cited by 54 · see citing works
Barriers to Uptake of Insulin Technologies and Novel Solutions
PAULEY, M. E., Berget, C., Messer, L. H., & Forlenza, G. P. (2021) · Medical Devices Evidence and Research · doi:10.2147/mder.s312858 · Cited by 50 · see citing works
Real-World Use of Control-IQ Technology Is Associated with a Lower Rate of Severe Hypoglycemia and Diabetic Ketoacidosis Than Historical Data: Results of the Control-IQ Observational (CLIO) Prospective Study
Graham, R., Müeller, L., Manning, M., HABIF, S., Messer, L. H., Pinsker, J. E., & Aronoff-Spencer, E. S. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0341 · Cited by 49 · see citing works
Self-citation
Long-term assessment of the NHS hybrid closed-loop real-world study on glycaemic outcomes, time-in-range, and quality of life in children and young people with type 1 diabetes
Ng, S. M., Wright, N. P., Yardley, D., Campbell, F., Randell, T. L., Trevelyan, N., Ghatak, A., & Hindmarsh, P. C. (2024) · BMC Medicine · doi:10.1186/s12916-024-03396-x · Cited by 49 · see citing works
Time-in-range for monitoring glucose control: Is it time for a change?
Bellido, V., Pinés-Corrales, P. J., Villar‐Taibo, R., & Ampudia‐Blasco, F. J. (2021) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.108917 · Cited by 46 · see citing works
Bihormonal fully closed-loop system for the treatment of type 1 diabetes: a real-world multicentre, prospective, single-arm trial in the Netherlands
van Bon, A. C., Blauw, H., Jansen, T. J. P., Laverman, G. D., Urgert, T., Geessink-Mennink, J., Mulder, A. H. L., Out, M., Veldman, R. G., Onvlee, A. J., et al. (2024) · The Lancet Digital Health · doi:10.1016/s2589-7500(24)00002-5 · Cited by 45 · see citing works
Review of automated insulin delivery systems for individuals with type 1 diabetes: tailored solutions for subpopulations
Aiello, E. M., Deshpande, S., Özaslan, B., Wolkowicz, K. L., Dassau, E., Pinsker, J. E., & Doyle, F. J. (2021) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2021.100312 · Cited by 44 · see citing works
Self-citation
Closed-loop insulin delivery: update on the state of the field and emerging technologies
Ware, J., & Hovorka, R. (2022) · Expert Review of Medical Devices · doi:10.1080/17434440.2022.2142556 · Cited by 47 · see citing works
UK 's Association of British Clinical Diabetologist's Diabetes Technology Network ( ABCD‐DTN ): Best practice guide for hybrid closed‐loop therapy
Griffin, T. P., Gallen, G., Hartnell, S., Crabtree, T. S. J., Holloway, M., Gibb, F. W., Lumb, A. N., Wilmot, E. G., Choudhary, P., & Hussain, S. (2023) · Diabetic Medicine · doi:10.1111/dme.15078 · Cited by 46 · see citing works
Emerging Diabetes Technologies: Continuous Glucose Monitors/Artificial Pancreases
ALMURASHI, A. M., Rodriguez, E., & Garg, S. K. (2023) · Journal of the Indian Institute of Science · doi:10.1007/s41745-022-00348-3 · Cited by 48 · see citing works
Time With Diabetes Distress and Glycemia-Specific Distress: New Patient-Reported Outcome Measures for the Psychosocial Burden of Diabetes Using Ecological Momentary Assessment in an Observational Study
Ehrmann, D., SCHMITT, A. J., Priesterroth, L., Kulzer, B., Haak, T., & Hermanns, N. (2022) · Diabetes Care · doi:10.2337/dc21-2339 · Cited by 40 · see citing works
Cystic Fibrosis-Related Diabetes Workshop: research priorities spanning disease pathophysiology, diagnosis, and outcomes
Putman, M. S., Norris, A. W., Hull, R. L., Rickels, M. R., Sussel, L., Blackman, S. M., Chan, C. L., Ode, K. L., Daley, T., Stecenko, A. A., et al. (2023) · Diabetes Care · doi:10.2337/dc23-0380 · Cited by 35 · see citing works
MiniMedTM780G Insulin pump system with smartphone connectivity for the treatment of type 1 diabetes: overview of its safety and efficacy
MCVEAN, J. J. F., & Miller, J. D. (2021) · Expert Review of Medical Devices · doi:10.1080/17434440.2021.1926984 · Cited by 35 · see citing works
Real‐world prospective observational single‐centre study: Hybrid closed loop improves HbA1c, time‐in‐range and quality of life for children, young people and their carers
Ng, S. M., Katkat, N., Day, H., Hubbard, R. A., Quinn, M., & Finnigan, L. (2022) · Diabetic Medicine · doi:10.1111/dme.14863 · Cited by 35 · see citing works
Time in Tight Range for Patients With Type 1 Diabetes: The Time Is Now, or Is It Too Soon?
Hamidi, V., & Pettus, J. (2024) · Diabetes Care · doi:10.2337/dci23-0092 · Cited by 34 · see citing works
Person‐reported outcomes in diabetes care: What are they and why are they so important?
Hermanns, N., Kulzer, B., & Ehrmann, D. (2024) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15471 · Cited by 33 · see citing works
Empowering hospitalized patients with diabetes: implementation of a hospital-wide CGM policy with EHR-integrated validation for dosing insulin
Lee, M. Y., Seav, S. M., Ongwela, L., Lee, J. J., Aubyrn, R., Cao, F. Y., Kalinsky, A., Aparicio Ramos, O., Gu, Y., Kingston, K., et al. (2024) · Diabetes Care · doi:10.2337/dc24-0626 · Cited by 32 · see citing works
Clinical Application of Time in Range and Other Metrics
Aleppo, G. (2021) · Diabetes Spectrum · doi:10.2337/ds20-0093 · Cited by 31 · see citing works
Minimed Medtronic 780G optimizes glucose control in patients with type 1 diabetes mellitus
Pintaudi, B., Gironi, I., Nicosia, R., Meneghini, E., Disoteo, O., Mion, E., & Bertuzzi, F. (2022) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2022.03.031 · Cited by 32 · see citing works
Quality of life and psychological well-being among children and adolescents with diabetes and their caregivers using open-source automated insulin delivery systems: Findings from a multinational survey
Knoll, C., Schipp, J., O’Donnell, S., Wäldchen, M., Ballhausen, H., Cleal, B. R., Gajewska, K. A., Raile, K., Skinner, T. C., & Braune, K. (2022) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2022.110153 · Cited by 32 · see citing works
Are all HCL systems the same? long term outcomes of three HCL systems in children with type 1 diabetes: real-life registry-based study
Šantová, A., Plachý, L., Neuman, V., Pavlı́ková, M., Petruželková, L., Konečná, P., Venháčová, P., Škvor, J., Pomahačová, R., Neumann, D., et al. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1283181 · Cited by 32 · see citing works
The Psychological Implications of Automated Insulin Delivery Systems in Type 1 Diabetes Care
Nefs, G. (2022) · Frontiers in Clinical Diabetes and Healthcare · doi:10.3389/fcdhc.2022.846162 · Cited by 31 · see citing works
Changes in HbA1c Between 2011 and 2017 in Germany/Austria, Sweden, and the United States: A Lifespan Perspective
Albanese-O’Neill, A., Grimsmann, J. M., Svensson, A., Miller, K. M., Raile, K., Åkesson, K., Calhoun, P. M., Biesenbach, B., Eeg‐Olofsson, K., Holl, R. W., et al. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0225 · Cited by 31 · see citing works
Psychosocial Impact of the Insulin-Only iLet Bionic Pancreas for Adults, Youth, and Caregivers of Youth with Type 1 Diabetes
Weissberg-Benchell, J. A., Vesco, A. T., Shapiro, J. B., Calhoun, P. M., Damiano, E. R., Russell, S. J., Li, Z., El-Khatib, F. H., Ruedy, K. J., BALLIRO, C. A., et al. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0238 · Cited by 31 · see citing works
Glycemic Outcomes During Early Use of the MiniMed™ 780G Advanced Hybrid Closed-Loop System with Guardian™ 4 Sensor
Cordero, T. L., Dai, Z., Arrieta, A., Niu, F., Vella, M., Shin, J., Rhinehart, A. S., MCVEAN, J. J. F., Lee, S. W., Slover, R. H., et al. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0123 · Cited by 30 · see citing works
Advances, Challenges, and Cost Associated with Continuous Glucose Monitor Use in Adolescents and Young Adults with Type 1 Diabetes
Datye, K. A., Tilden, D. R., Parmar, A. M., Goethals, E. R., & Jaser, S. S. (2021) · Current Diabetes Reports · doi:10.1007/s11892-021-01389-1 · Cited by 32 · see citing works
Effectiveness of a closed‐loop control system and a virtual educational camp for children and adolescents with type 1 diabetes: A prospective, multicentre, real‐life study
Cherubini, V., Rabbone, I., Berioli, M. G., Giorda, S., Presti, D. L., Maltoni, G., Mameli, C., Marigliano, M., Marino, M., Minuto, N., et al. (2021) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14491 · Cited by 30 · see citing works
The automated pancreas: A review of technologies and clinical practice
Biester, T., Tauschmann, M., Chobot, A. P., Kordonouri, O., Danne, T., Kapellen, T. M., & Dovč, K. (2021) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14576 · Cited by 32 · see citing works
Application of continuous glucose monitoring and automated insulin delivery technologies for pregnant women with type 1, type 2, or gestational diabetes: an international consensus statement
Benhalima, K., Durnwald, C. P., Sweeting, A., Adams, D., Addala, A., Battelino, T., Bergenstal, R. M., Carlson, A. L., Donovan, L., Franco, D. R., et al. (2025) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(25)00335-3 · Cited by 30 · see citing works
Practical aspects of diabetes technology use: Continuous glucose monitors, insulin pumps, and automated insulin delivery systems
Marks, B. E., Williams, K. M., Sherwood, J. S., & Putman, M. S. (2021) · Journal of Clinical & Translational Endocrinology · doi:10.1016/j.jcte.2021.100282 · Cited by 30 · see citing works
Automated Insulin Delivery (AID) Systems: Use and Efficacy in Children and Adults with Type 1 Diabetes and Other Forms of Diabetes in Europe in Early 2023
Bassi, M., Franzone, D., Dufour, F., Strati, M. F., Scalas, M., Tantari, G., Aloi, C., Salina, A., d’Annunzio, G., Maghnie, M., et al. (2023) · Life · doi:10.3390/life13030783 · Cited by 32 · see citing works
One-year real-world benefits of Tandem Control-IQ technology on glucose management and person-reported outcomes in adults with type 1 diabetes: a prospective observational cohort study
De Meulemeester, J., Keymeulen, B., De Block, C., Van Huffel, L., Taes, Y., Ballaux, D., Spincemaille, K., Lapauw, B., Vanhaverbeke, G., Lowyck, I., et al. (2025) · Diabetologia · doi:10.1007/s00125-025-06366-x · Cited by 27 · see citing works
Automated Insulin Delivery Systems as a Treatment for Type 2 Diabetes Mellitus: A Review
Karol, A. B., O’Malley, G., Fallurin, R., & Levy, C. J. (2022) · Endocrine Practice · doi:10.1016/j.eprac.2022.10.001 · Cited by 27 · see citing works
Global Inequities in Diabetes Technology and Insulin Access and Glycemic Outcomes
Šantová, A., de Bock, M. I., Lanzinger, S., Goldbloom, E. B., Bratina, N., Barcala, C., Alhomaidah, D. S., Pande, A. K., Guness, P. K., Dzīvīte-Krišāne, I., et al. (2025) · JAMA Network Open · doi:10.1001/jamanetworkopen.2025.28933 · Cited by 27 · see citing works
Switching from predictive low glucose suspend to advanced hybrid closed loop control: Effects on glucose control and patient reported outcomes
Boscari, F., Ferretto, S., Cavallin, F., & Bruttomesso, D. (2022) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2022.109784 · Cited by 26 · see citing works
Friend or Foe: a Narrative Review of the Impact of Diabetes Technology on Sleep
Cobry, E. C., KARAMI, A. J., & Meltzer, L. J. (2022) · Current Diabetes Reports · doi:10.1007/s11892-022-01468-x · Cited by 23 · see citing works
Significant and persistent improvements in time in range and positive emotions in children and adolescents with type 1 diabetes using a closed-loop control system after attending a virtual educational camp
Rabbone, I., Savastio, S., Pigniatiello, C., Carducci, C., Berioli, M. G., Cherubini, V., Presti, D. L., Maltoni, G., Mameli, C., Marigliano, M., et al. (2022) · Acta Diabetologica · doi:10.1007/s00592-022-01878-z · Cited by 22 · see citing works
Development and Future of Automated Insulin Delivery (AID) Systems
Garg, S. K., & MCVEAN, J. J. F. (2024) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0467 · Cited by 23 · see citing works
A Virtual Training Program for the Tandem t:slim X2 Insulin Pump: Implementation and Outcomes
Pinsker, J. E., Singh, H., McElwee-Malloy, M., Constantin, A., LEAS, S. A., Kriegel, K., & HABIF, S. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0602 · Cited by 21 · see citing works
Self-citation
A systematic literature review and meta‐analysis of real‐world evidence on commercially available automated insulin delivery systems in people with type 1 diabetes
Pöhlmann, J., Smith‐Palmer, J., Serné, E. H., Tuomaala, A., JENDLE, J. H., Choudhary, P., Bosi, E., Mohan, V., van den Heuvel, T. R. A., Cohen, O., et al. (2025) · Diabetes Obesity and Metabolism · doi:10.1111/dom.70161 · Cited by 21 · see citing works
Artificial Intelligence in Efficient Diabetes Care
Khodve, G., & Banerjee, S. (2022) · Current Diabetes Reviews · doi:10.2174/1573399819666220905163940 · Cited by 19 · see citing works
Sustainable Use of a Real-Time Continuous Glucose Monitoring System from 2018 to 2020
van der Linden, J., Welsh, J. B., & Walker, T. C. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0014 · Cited by 19 · see citing works
Outpatient Randomized Crossover Comparison of Zone Model Predictive Control Automated Insulin Delivery with Weekly Data Driven Adaptation Versus Sensor-Augmented Pump: Results from the International Diabetes Closed-Loop Trial 4
Pinsker, J. E., Dassau, E., Deshpande, S., Raghinaru, D., Buckingham, B. A., Kudva, Y. C., Laffel, L. M., Levy, C. J., Church, M. M., Desrochers, H., et al. (2022) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2022.0084 · Cited by 18 · see citing works
Self-citation
Cystic Fibrosis–Related Diabetes Workshop: Research Priorities Spanning Disease Pathophysiology, Diagnosis, and Outcomes
Putman, M. S., Norris, A. W., Hull, R. L., Rickels, M. R., Sussel, L., Blackman, S. M., Chan, C. L., Ode, K. L., Daley, T. C., Stecenko, A. A., et al. (2023) · Diabetes · doi:10.2337/db22-0949 · Cited by 19 · see citing works
Closed-Loop Artificial Pancreas Therapy for Type 1 Diabetes
Zhou, K., & Isaacs, D. M. (2022) · Current Cardiology Reports · doi:10.1007/s11886-022-01733-1 · Cited by 18 · see citing works
Evaluation of time in tight range and the glycaemia risk index in adults with type 1 diabetes using an advanced hybrid closed loop system: A 1‐year real‐world assessment
Rizzi, A., Tartaglione, L., Paoli, L. L., Leo, M. L., Popolla, V., Viti, L., Barberio, A., Leo, M. A. S. D., Pontecorvi, A., & Pitocco, D. (2024) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15766 · Cited by 16 · see citing works
Patient‐reported outcomes in studies of diabetes technology: What matters
Liarakos, A. L., Crabtree, T. S. J., & Wilmot, E. G. (2024) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15858 · Cited by 15 · see citing works
Changes in the glycaemia risk index and its association with other continuous glucose monitoring metrics after initiation of an automated insulin delivery system in adults with type 1 diabetes
Karakus, K. E., Shah, V. N., Klonoff, D. C., & Aktürk, H. K. (2023) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15208 · Cited by 14 · see citing works
Prolonged Use of an Automated Insulin Delivery System Improves Sleep in Long-Standing Type 1 Diabetes Complicated by Impaired Awareness of Hypoglycemia
Malone, S. K., MATUS, A. M., Flatt, A. J., Peleckis, A. J., Grunin, L., Yu, G., Jang, S., Weimer, J. E., Lee, I., Rickels, M. R., et al. (2023) · Journal of Diabetes Science and Technology · doi:10.1177/19322968231182406 · Cited by 14 · see citing works
Glucose control during Ramadan in a pediatric cohort with type 1 diabetes on MiniMed standard and advanced hybrid closed‑loop systems: A pilot study
Wannes, S., Gamal, G. M., Fredj, M. B., Qusayer, D. A., Abed, S. E., Sedky, Y., & Khalil, M. (2023) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2023.110867 · Cited by 14 · see citing works
Effects, Safety, and Treatment Experience of Advanced Hybrid Closed-Loop Systems in Clinical Practice Among Adults Living With Type 1 Diabetes
Singh, R., Imberg, H., Ahmadi, S. S., Hallström, S., JENDLE, J. H., Tengmark, B.-O., Folino, A., Marie, E., & Lind, M. (2024) · Journal of Diabetes Science and Technology · doi:10.1177/19322968241242386 · Cited by 13 · see citing works
Adjunctive Therapies to Optimize Closed-loop Glucose Control
Srinivasan, S., Ekhlaspour, L., & Cengiz, E. (2021) · Journal of Diabetes Science and Technology · doi:10.1177/19322968211032701 · Cited by 13 · see citing works
A Review of Real-World Evidence About the Use of Automated Insulin Delivery Systems in People With Type 1 Diabetes
Gera, S., Iyer, J., Meighan, S. S., March, C. A., & Marks, B. E. (2025) · Endocrine Practice · doi:10.1016/j.eprac.2025.06.004 · Cited by 12 · see citing works
Artificial Pancreas Technology Offers Hope for Childhood Diabetes
Schoelwer, M. J., & DeBoer, M. D. (2021) · Current Nutrition Reports · doi:10.1007/s13668-020-00347-9 · Cited by 11 · see citing works
Multi-Timescale Rhythmicity of Blood Glucose and Insulin Delivery Reveals Key Advantages of Hybrid Closed Loop Therapy
Grant, A. D., Lewis, D. M., & Kriegsfeld, L. J. (2021) · Journal of Diabetes Science and Technology · doi:10.1177/1932296821994825 · Cited by 11 · see citing works
Insulin Titration Guidelines for Patients With Type 1 Diabetes: It Is About Time!
Walsh, J. S. A., Roberts, R., Bailey, T. S., & Heinemann, L. (2022) · Journal of Diabetes Science and Technology · doi:10.1177/19322968221087261 · Cited by 11 · see citing works
Structural basis for regulation in gram-negative bacterial citrate synthases.
Duckworth, H. W., Anderson, D. H., Bell, A. W., Donald, L. J., Chu, A. L., & Brayer, G. D. (1987) · PubMed · Cited by 10 · see citing works
Psychosocial Aspects of Diabetes Technologies: Commentary on the Current Status of the Evidence and Suggestions for Future Directions
Barnard-Kelly, K. D., Gonder-Frederick, L. A., Weissberg-Benchell, J. A., & Wisk, L. E. (2024) · Journal of Diabetes Science and Technology · doi:10.1177/19322968241276550 · Cited by 12 · see citing works
Exploring Technology’s Influence on Health Behaviours and Well-being in Type 1 Diabetes: a Review
McClure, R. D., Talbo, M. K., Bonhoure, A., Molveau, J., South, C. A., Lebbar, M., & Wu, Z. (2024) · Current Diabetes Reports · doi:10.1007/s11892-024-01534-6 · Cited by 13 · see citing works
Fully automated insulin delivery systems in type 1 diabetes: A systematic review and meta‐analysis
Fan, W., Deng, C., Xu, R., Liu, Z., He, Y., Zhou, Z., & Li, X. (2025) · Diabetes Obesity and Metabolism · doi:10.1111/dom.16499 · Cited by 10 · see citing works
Real-World Evidence of the Cambridge Hybrid Closed-Loop App With a Novel Real-Time Continuous Glucose Monitoring System
Newman, C., Hartnell, S., Wilinska, M. E., Alwan, H., & Hovorka, R. (2023) · Journal of Diabetes Science and Technology · doi:10.1177/19322968231187915 · Cited by 10 · see citing works
Glycometabolic outcomes in adult type 1 diabetic patients switching to closed-loop systems
Papa, G. F. S., Cannarella, R., Condorelli, R. A., Finocchiaro, C., Calogero, A. E., & Vignera, S. L. (2023) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2023.110907 · Cited by 10 · see citing works
Advanced Technology (Continuous Glucose Monitoring and Advanced Hybrid Closed-Loop Systems) in Diabetes from the Perspective of Gender Differences
Nuzzo, M. G., & Schettino, M. (2023) · Diabetology · doi:10.3390/diabetology4040045 · Cited by 10 · see citing works
Persistent disparities in insulin pump uptake despite a universal pump programme for type 1 diabetes in Ontario, Canada
Soliman, Y., Everett, K., Shulman, R. M., Austin, P. C., Lipscombe, L. L., Booth, G. L., & Weisman, A. (2024) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15799 · Cited by 9 · see citing works
Recent Progress in Wearable Bioelectronics for Theranostics and Perspectives with Artificial Intelligence
Chen, X., Xiong, H., Chen, J., Kong, J., Zhang, Y., & Fang, X. (2025) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.5c14054 · Cited by 9 · see citing works
Dual hormone fully closed loop in type 1 diabetes: a randomised trial in the Netherlands – study protocol
Jancev, M., Snoek, F. J., Frederix, G., Knottnerus, H., Blauw, H., Witkop, M., Moons, K. G. M., van Bon, A. C., DeVries, J. H., Serné, E. H., et al. (2023) · BMJ Open · doi:10.1136/bmjopen-2023-074984 · Cited by 9 · see citing works
Control-IQ Technology Positively Impacts Patient Reported Outcome Measures and Glycemic Control in Youth with Type 1 Diabetes in a Real-World Setting
Zuijdwijk, C., Courtney, J. M., Mitsakakis, N., Hayawi, L. M., Sutherland, S., Newhook, D., Ahmet, A. H., Goldbloom, E. B., Khatchadourian, K., & Lawrence, S. E. (2023) · Pediatric Diabetes · doi:10.1155/2023/5106107 · Cited by 8 · see citing works
Efficacy of advanced hybrid closed loop systems in cystic fibrosis related diabetes: a pilot study
Bassi, M., Franzone, D., Dufour, F., Spacco, G., Cresta, F., d’Annunzio, G., Tantari, G., Calevo, M. G., Castellani, C., Minuto, N., et al. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1347141 · Cited by 8 · see citing works
Hybrid Closed-Loop Therapy in Adults with Type 1 Diabetes in England: Long-Term Outcomes from a Real-World Observational Study
Liarakos, A. L., Crabtree, T. S. J., Griffin, T. P., Hussain, S., Gallen, G., Elliott, J., Furlong, N. J., Narendran, P., Thabit, H., Leelarathna, L., et al. (2025) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2025.0165 · Cited by 10 · see citing works
Automated Insulin Delivery in Adults With Type 1 Diabetes and Suboptimal HbA1c During Prior Use of Insulin Pump and Continuous Glucose Monitoring: A Randomized Controlled Trial
Christensen, M. B., Ranjan, A. G., Rytter, K., McCarthy, O. M., Schmidt, S., & Nørgaard, K. (2024) · Journal of Diabetes Science and Technology · doi:10.1177/19322968241242399 · Cited by 9 · see citing works
Six months of hybrid closed-loop therapy improves diabetes-specific positive well-being, and reduces diabetes distress and fear of hypoglycemia: secondary analysis of a randomized controlled trial
Halliday, J. A., Russell‐Green, S., Lam, B., Trawley, S. L., McAuley, S. A., Bach, L. A., Burt, M. G., Cohen, N. D., Colman, P. G., Davis, E. A., et al. (2024) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2024-004428 · Cited by 8 · see citing works
Measures of Patient-Reported Expectations, Acceptance, and Satisfaction Using Automated Insulin Delivery Systems: A Review
Marigliano, M., Mozzillo, E., Mancioppi, V., Candia, F. D., Rosanio, F. M., Antonelli, A., Nichelatti, I., Maffeis, C., Tumini, S., & Franceschi, R. (2023) · Journal of Personalized Medicine · doi:10.3390/jpm13071031 · Cited by 8 · see citing works
The interplay between psychological well-being, diabetes-related distress, and glycemic control: A continuous glucose monitoring analysis from a population of adolescents with type 1 diabetes
Bombaci, B., Passanisi, S., Longo, A., Aramnejad, S., Rigano, F., Marzà, M. C., Formica, T., Pecoraro, M., Lombardo, F., & Salzano, G. (2025) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2025.109142 · Cited by 7 · see citing works
Efficacy of Control-IQ Technology in a General Endocrine Clinic
Usoh, C. O., Price, C. E., Johnson, C. P., Speiser, J. L., & Aloi, J. (2022) · Endocrine Practice · doi:10.1016/j.eprac.2022.10.010 · Cited by 7 · see citing works
Closed-Loop Insulin Delivery Systems for People with Type 1 Diabetes and Chronic Very Poor Metabolic Control: It Works and Is Safe!
Deepchand, S., Balla, V., Eroukhmanoff, J., Sall, K. L., Romain, B., Lejeune, M., Penfornis, A., & Amadou, C. (2023) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0379 · Cited by 7 · see citing works
Actualisation de la prise de position des experts français sur l’insulinothérapie automatisée en boucle fermée
Renard, É., Tubiana‐Rufi, N., Chaillous, L., Bonnemaison, É., Hanaire, H. P., Bismuth, É., Joubert, M., Coutant, R., Schaepelynck, P., Beltrand, J., et al. (2024) · Médecine des Maladies Métaboliques · doi:10.1016/j.mmm.2024.04.002 · Cited by 7 · see citing works
Automated Insulin Delivery Systems: Today, Tomorrow and User Requirements
Giménez, M., Conget, I., & Oliver, N. S. (2021) · Journal of Diabetes Science and Technology · doi:10.1177/19322968211029937 · Cited by 7 · see citing works
Improvement in Mean CGM Glucose in Young People with Type 1 Diabetes During 1 Year of the COVID-19 Pandemic
Kaushal, T., TINSLEY, L. J., Volkening, L. K., Ambler-Osborn, L., & Laffel, L. M. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0258 · Cited by 7 · see citing works
Six-Month Glycemic Control with a Hybrid Closed-Loop System in Type 1 Diabetes Patients in a Latin American Country
PROIETTI, A. E., Raggio, M., Paz, M., Rubín, G., Kabakian, M. L., Saleme, A., & Grosembacher, L. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0248 · Cited by 7 · see citing works
MPC-guided Imitation Learning of Bayesian Neural Network Policies for the Artificial Pancreas
Chen, H., Paoletti, N., Smolka, S. A., & Lin, S. (2021) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc45484.2021.9683240 · Cited by 7 · see citing works
Impact of the CamAPS FX hybrid closed‐loop insulin delivery system on sleep traits in older adults with type 1 diabetes
Thabit, H., Boughton, C. K., Mubita, W., Rubio, J., Mader, J. K., Narendran, P., Evans, M. L., Leelarathna, L., Wilinska, M. E., Fullwood, C., et al. (2022) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14914 · Cited by 6 · see citing works
Social disadvantage and technology use among adults with type 1 diabetes in Quebec: A cross‐sectional study using data from the Canadian <scp>T1D</scp> ( <scp>BETTER</scp> ) Registry
Khodabandehloo, P., Fakembe, P., Senga, J., Shulman, R., Lipscombe, L. L., Witteman, H. O., Banerjee, A., Presseau, J., Nakhla, M., Dogba, M. J., et al. (2025) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.16426 · Cited by 6 · see citing works
Glycemic and Patient-Reported Outcomes for Users of a New, Compact Automated Insulin Delivery System: A First Report
Aktürk, H. K., Karakus, K. E., D’Souza, E. W., Assadi, K. Z., Pinsker, J. E., & Messer, L. H. (2024) · Journal of Diabetes Science and Technology · doi:10.1177/19322968241302349 · Cited by 6 · see citing works
Self-citation
Outpatient Randomized Crossover Automated Insulin Delivery Versus Conventional Therapy with Induced Stress Challenges
Kaur, R. J., Deshpande, S., Pinsker, J. E., Gilliam, W. P., MCCRADY-SPITZER, S. K., Zaniletti, I., Desjardins, D., Church, M. M., Doyle, F. J., Kremers, W. K., et al. (2022) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0436 · Cited by 6 · see citing works
Self-citation
Clinical Evaluation of a Novel Insulin Immunosensor
Aiello, E. M., Pinsker, J. E., Vargas, E., Teymourian, H., Tehrani, F., Church, M. M., Laffel, L. M., Doyle, F. J., Patti, M., Wang, J., et al. (2022) · Journal of Diabetes Science and Technology · doi:10.1177/19322968221074406 · Cited by 6 · see citing works
Self-citation
Spanish Translation and Linguistic Validation of the Glucose Monitoring Experiences Questionnaire (GME-Q) in Continuous Glucose Monitoring Users
Beato-Víbora, P. I., Lázaro-Martín, L., Gallego-Gamero, F., & Ambrojo-López, A. (2021) · Journal of Diabetes Science and Technology · doi:10.1177/1932296821993170 · Cited by 5 · see citing works

One Year Real-World Use of the Control-IQ Advanced Hybrid Closed-Loop Technology
Breton, M. D., & Kovatchev, B. P. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0097 · Cited by 250 · see citing works
281-OR: Psychosocial Benefits of Using Control-IQ Technology: Long-Term Outcomes from a Multiethnic Adult Cohort with Type 1 Diabetes
Singh, H., ALENCAR, G., SANCHEZ, H., MANNING, M. L., WHITE, K. N., Wheatcroft, A., CARMELO, K., Graham, R., Müeller, L., Aronoff-Spencer, E. S., et al. (2022) · Diabetes · doi:10.2337/db22-281-or · Cited by 1 · see citing works
Self-citation
Control-IQ Technology Positively Impacts Patient Reported Outcome Measures and Glycemic Control in Youth with Type 1 Diabetes in a Real-World Setting
Zuijdwijk, C., Courtney, J. M., Mitsakakis, N., Hayawi, L. M., Sutherland, S., Newhook, D., Ahmet, A. H., Goldbloom, E. B., Khatchadourian, K., & Lawrence, S. E. (2023) · Pediatric Diabetes · doi:10.1155/2023/5106107 · Cited by 8 · see citing works
531-P: “I Feel Human, I Feel Normal”: A Qualitative Study of Experiences with Control-IQ Technology in Early Adopters
Singh, H., McElwee-Malloy, M., SANCHEZ, H., & HABIF, S. (2021) · Diabetes · doi:10.2337/db21-531-p
Self-citation
EXPERIENCE WITH CONTROL-IQ TECHNOLOGY
Preechasuk, L., Avari, P., & Oliver, N. (2023) · Journal of the ASEAN Federation of Endocrine Societies · doi:10.15605/jafes.038.afes.24

Authors: Pinsker, J. E., Müller, L., Constantin, A., Leas, S., Manning, M., McElwee Malloy, M., Singh, H., & Habif, S.
Affiliations: Sansum Diabetes Research Institute (US)
University of California San Diego (US)
Tandem Diabetes Care (United States) (US)
Tandem Diabetes Care, Behavioral Sciences, San Diego, California, USA.
Corresponding author: Pinsker, Jordan E.
ORCID: Pinsker, Jordan E.
Müller, Lars
Singh, Harsimran
Venue: Diabetes Technology & Therapeutics
Publisher: SAGE Publications
Published: 2021-01-28
Volume: 23
Issue: 2
Pages: 120-127
ISSN: 1520-9156 (ISSN-L)
1557-8593
DOI: 10.1089/dia.2020.0388
PMC: PMC7868573
OpenAlex: W3080495660
Cited by: 147
References: 28
Citations by year: 2026: 13 · 2025: 19 · 2024: 26 · 2023: 29 · 2022: 31 · 2021: 28
FWCI: 16.59
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: Diabetes Technology & Therapeutics (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, other-oa)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
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: type 1 diabetes, Control-IQ, hybrid closed-loop system, insulin pump therapy, time in range, glycemic outcomes, patient-reported outcomes, device satisfaction, technology acceptance, sleep quality, continuous glucose monitoring, psychosocial well-being
MeSH terms: Patient Reported Outcome Measures, Adolescent, Adult, Blood Glucose, Diabetes Mellitus, Type 1, Female, Humans, Hypoglycemic Agents, Insulin, Insulin Infusion Systems, Male, Middle Aged, Quality of Life, Technology, United States, Blood Glucose Self-Monitoring, 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

Real-World Patient-Reported Outcomes and Glycemic Results with Initiation of Control-IQ Technology

Abstract

Integrity signals

Claims the paper makes

Claims other papers make about this one

Self-check

Cites

Cited by

Related

Record

About these checks