Prevention of Nocturnal Hypoglycemia Using Predictive Alarm Algorithms and Insulin Pump Suspension
Open accessAbstract
OBJECTIVE: The aim of this study was to develop a partial closed-loop system to safely prevent nocturnal hypoglycemia by suspending insulin delivery when hypoglycemia is predicted in type 1 diabetes. RESEARCH DESIGN AND METHODS: Forty subjects with type 1 diabetes (age range 12–39 years) were studied overnight in the hospital. For the first 14 subjects, hypoglycemia (<60 mg/dl) was induced by gradually increasing the basal insulin infusion rate (without the use of pump shutoff algorithms). During the subsequent 26 patient studies, pump shutoff occurred when either three of five (n = 10) or two of five (n = 16) algorithms predicted hypoglycemia based on the glucose levels measured with the FreeStyle Navigator (Abbott Diabetes Care). RESULTS: The standardized protocol induced hypoglycemia on 13 (93%) of the 14 nights. With use of a voting scheme that required three algorithms to trigger insulin pump suspension, nocturnal hypoglycemia was prevented during 6 (60%) of 10 nights. When the voting scheme was changed to require only two algorithms to predict hypoglycemia to trigger pump suspension, hypoglycemia was prevented during 12 (75%) of 16 nights. In the latter study, there were 25 predictions of hypoglycemia because some subjects had multiple hypoglycemic events during a night, and hypoglycemia was prevented for 84% of these events. CONCLUSIONS: Using algorithms to shut off the insulin pump when hypoglycemia is predicted, it is possible to prevent hypoglycemia on 75% of nights (84% of events) when it would otherwise be predicted to occur.
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
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?
When comparing the safety and efficacy of overnight closed-loop delivery of insulin with conventional insulin-pump therapy in adults with type 1 diabetes, closed-loop delivery improved overnight control of glycaemia and reduced the risk of nocturnal hypoglycaemia.
“when comparing the safety and efficacy of overnight closed-loop delivery of insulin with conventional insulin-pump therapy in adults with type 1 diabetes, closed-loop delivery improved overnight control of glycaemia and reduced the risk of nocturnal hypoglycaemia.98,99”
From Type 1 diabetes (2014) · cites this paper as [99]
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
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.
Cites
Continuous glucose monitoring and intensive treatment of type 1 diabetes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0805017 · Cited by 1,559 · see citing works
Cryer, P. E., Davis, S. N., & Shamoon, H. (2003) · Diabetes Care · doi:10.2337/diacare.26.6.1902 · Cited by 1,160 · cited 2× · see citing works
“It is known that once a person has had one hypoglycemic event, a second event is more likely (17).”
BackgroundEpidemiology of severe hypoglycemia in the diabetes control and complications trial
(1991) · The American Journal of Medicine · doi:10.1016/0002-9343(91)80085-z · Cited by 807 · see citing works
Limitations of Conventional Methods of Self-Monitoring of Blood Glucose
Boland, E. A., Monsod, T. P., DeLucia, M. C., Brandt, C., Fernando, S. K., & Tamborlane, W. V. (2001) · Diabetes Care · doi:10.2337/diacare.24.11.1858 · Cited by 422 · see citing works
A Tale of Two Compartments: Interstitial Versus Blood Glucose Monitoring
Cengiz, E., & Tamborlane, W. V. (2009) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2009.0002 · Cited by 390 · see citing works
Decreased Epinephrine Responses to Hypoglycemia during Sleep
Jones, T. W., Porter, P., Sherwin, R. S., Davis, E. A., O'Leary, P. C., Frazer, F., Byrne, G. C., Stick, S. M., & Tamborlane, W. V. (1998) · New England Journal of Medicine · doi:10.1056/nejm199806043382303 · Cited by 298 · see citing works
Davis, E. A., Keating, B., Byrne, G. C., Russell, M., & Jones, T. W. (1997) · Diabetes Care · doi:10.2337/diacare.20.1.22 · Cited by 273 · see citing works
(1991) · PubMed · Cited by 245 · see citing works
Ludvigsson, J., & Hanås, R. (2003) · PEDIATRICS · doi:10.1542/peds.111.5.933 · Cited by 227 · see citing works
the Diabetes Research in Children Network (DirecNet) Study Group (2006) · Diabetes Care · doi:10.2337/dc06-0495 · Cited by 217 · see citing works
Real-Time Hypoglycemia Prediction Suite Using Continuous Glucose Monitoring
Dassau, E., Cameron, F., Lee, H., Bequette, B. W., Zisser, H., Jovanovič, L., Chase, H. P., Wilson, D. M., Buckingham, B. A., & Doyle, F. J. (2010) · Diabetes Care · doi:10.2337/dc09-1487 · Cited by 144 · see citing works
Self-citationKAUFMAN, F. R., Austin, J., Neinstein, A. B., Jeng, L., Halvorson, M., Devoe, D. J., & Pitukcheewanont, P. (2002) · The Journal of Pediatrics · doi:10.1067/mpd.2002.129175 · Cited by 136 · see citing works
Preventing Hypoglycemia Using Predictive Alarm Algorithms and Insulin Pump Suspension
Buckingham, B. A., Cobry, E. C., Clinton, P. K., Gage, V., Caswell, K., Kunselman, E. L., Cameron, F., & Chase, H. P. (2009) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2008.0032 · Cited by 132 · see citing works
Self-citationMazze, R. S., Strock, E. S., Borgman, S. K., Wesley, D., Stout, P. J., & Racchini, J. R. (2009) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2008.0041 · Cited by 116 · see citing works
Response to Nocturnal Alarms Using a Real-Time Glucose Sensor
Buckingham, B. A., Block, J. M., Burdick, J., Kalajian, A., Kollman, C., Choy, M., Wilson, D. M., & Chase, P. (2005) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2005.7.440 · Cited by 115 · see citing works
Self-citationDuration of Nocturnal Hypoglycemia Before Seizures
Buckingham, B. A., Wilson, D. M., Lecher, T., Hanås, R., Kaiserman, K. B., & Cameron, F. J. (2008) · Diabetes Care · doi:10.2337/dc08-0863 · Cited by 111 · see citing works
Self-citationDead-in-bed syndrome in young diabetic patients.
Søvik, O., & Thordarson, H. B. (1999) · PubMed · Cited by 97 · see citing works
Palerm, C. C., & Bequette, B. W. (2007) · Journal of Diabetes Science and Technology · doi:10.1177/193229680700100505 · Cited by 89 · see citing works
Self-citationModular Artificial β-Cell System: A Prototype for Clinical Research
Dassau, E., Zisser, H., Palerm, C. C., Buckingham, B. A., Jovanovic, L. G., & Doyle, F. J. (2008) · Journal of Diabetes Science and Technology · doi:10.1177/193229680800200518 · Cited by 80 · see citing works
Self-citationCengiz, E., Swan, K. L., Tamborlane, W. V., Steil, G. M., Steffen, A. T., & WEINZIMER, S. A. (2009) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2008.0102 · Cited by 64 · see citing works
Diabetes Research in Children Network (DirecNet) Study Group (2009) · Diabetes Care · doi:10.2337/dc08-2298 · Cited by 61 · see citing works
Statistical Hypoglycemia Prediction
Cameron, F., Niemeyer, G., Gundy-Burlet, K. L., & Buckingham, B. A. (2008) · Journal of Diabetes Science and Technology · doi:10.1177/193229680800200412 · Cited by 60 · see citing works
Self-citationJeha, G. S., Karaviti, L. P., Anderson, B. J., Smith, E. O., Donaldson, S. O., McGirk, T. S., & Haymond, M. W. (2004) · Diabetes Care · doi:10.2337/diacare.27.12.2881 · Cited by 59 · see citing works
Orsini-Federici, M., Akwi, J. A., Canonico, V., Celleno, R., Ferollà, P., Pippi, R., Tassi, C., Timi, A., & Benedetti, M. M. (2006) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2006.8.67 · Cited by 36 · see citing works
Scheen, A. J., Castillo, M. J., Jandrain, B. J., Krzentowski, G., Henrivaux, P., LUYCKX, A. S., & Lefèbvre, P. J. (1984) · Diabetes Care · doi:10.2337/diacare.7.4.338 · Cited by 17 · see citing works
Castillo, M. J., Scheen, A. J., & Lefèbvre, P. J. (1996) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.81.5.1975 · Cited by 15 · see citing works
Scheen, A. J., Krzentowski, G., Castillo, M. J., Lef�bvre, P. J., & LUYCKX, A. S. (1983) · Diabetologia · doi:10.1007/bf00251816 · Cited by 13 · see citing works
Yamagishi, S. (2008) · Diabetes · doi:10.2337/db08-0338 · Cited by 5 · see citing works
Flagged first, then by citations
1 of the 29 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Atkinson, M. A., Eisenbarth, G. S., & Michels, A. W. (2014) · The Lancet · doi:10.1016/s0140-6736(13)60591-7 · Cited by 2,713 · see citing works
Cappon, G., Vettoretti, M., Sparacino, G., & Facchinetti, A. (2019) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2019.0121 · Cited by 477 · see citing works
Closed-loop insulin delivery from bench to clinical practice
Hovorka, R. (2011) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2011.32 · Cited by 342 · see citing works
Assessment and monitoring of glycemic control in children and adolescents with diabetes
Rewers, M. J., Pillay, K., de Beaufort, C., Craig, M. E., Hanas, R., Acerini, C. L., & Maahs, D. M. (2014) · Pediatric Diabetes · doi:10.1111/pedi.12190 · Cited by 316 · see citing works
A review of personalized blood glucose prediction strategies for T1DM patients
Oviedo, S., Vehí, J., Calm, R., & Armengol, J. (2017) · International Journal for Numerical Methods in Biomedical Engineering · doi:10.1002/cnm.2833 · Cited by 279 · see citing works
Challenges and recent progress in the development of a closed-loop artificial pancreas
Bequette, B. W. (2012) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2012.09.007 · Cited by 182 · see citing works
Self-citationPozzilli, P., Battelino, T., Danne, T., Hovorka, R., Jarosz-Chobot, P. A., & Renard, É. (2015) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2653 · Cited by 162 · see citing works
A Randomized Trial of a Home System to Reduce Nocturnal Hypoglycemia in Type 1 Diabetes
Maahs, D. M., Calhoun, P. M., Buckingham, B. A., Chase, H. P., HRAMIAK, I. M., Lum, J. W., Cameron, F., Bequette, B. W., Aye, T., Paul, T., et al. (2014) · Diabetes Care · doi:10.2337/dc13-2159 · Cited by 160 · see citing works
Self-citation“Turn it Off!”: Diabetes Device Alarm Fatigue Considerations for the Present and the Future
Shivers, J. P., Mackowiak, L., Anhalt, H., & Zisser, H. (2013) · Journal of Diabetes Science and Technology · doi:10.1177/193229681300700324 · Cited by 159 · see citing works
Assessment and management of hypoglycemia in children and adolescents with diabetes
Ly, T. T., Maahs, D. M., Rewers, A., Dunger, D. B., Oduwole, A. O., & Jones, T. W. (2014) · Pediatric Diabetes · doi:10.1111/pedi.12174 · Cited by 154 · see citing works
Buckingham, 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 138 · see citing works
Self-citationPreventing Hypoglycemia Using Predictive Alarm Algorithms and Insulin Pump Suspension
Buckingham, B. A., Cobry, E. C., Clinton, P. K., Gage, V., Caswell, K., Kunselman, E. L., Cameron, F., & Chase, H. P. (2009) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2008.0032 · Cited by 132 · see citing works
Self-citationChoudhary, P., Olsen, B. S., Conget, I., Welsh, J. B., Vorrink, L., & Shin, J. J. (2016) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2015.0324 · Cited by 118 · see citing works
Use of continuous glucose monitoring in children and adolescents *
Phillip, M., Danne, T., Shalitin, S., Buckingham, B. A., Laffel, L. M., Tamborlane, W. V., Battelino, T., & Participants, F. T. C. F. (2012) · Pediatric Diabetes · doi:10.1111/j.1399-5448.2011.00849.x · Cited by 111 · see citing works
Self-citationZecchin, C., Facchinetti, A., Sparacino, G., & Cobelli, C. (2013) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2013.09.016 · Cited by 105 · see citing works
Hypoglycemia Early Alarm Systems Based on Multivariable Models
Turksoy, K., Bayrak, E. S., Quinn, L. T., Littlejohn, E., Rollins, D. K., & Çınar, A. (2013) · Industrial & Engineering Chemistry Research · doi:10.1021/ie3034015 · Cited by 104 · see citing works
Buckingham, B. A., Cameron, F., Calhoun, P. M., Maahs, D. M., Wilson, D. M., Chase, H. P., Bequette, B. W., Lum, J. W., Sibayan, J., Beck, R. W., et al. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0040 · Cited by 103 · see citing works
Self-citationLuo, X., Yu, Q., Liu, Y., Gai, W., Ye, L., Yang, L., & Cui, Y. (2022) · ACS Sensors · doi:10.1021/acssensors.1c02337 · Cited by 101 · see citing works
Closed-loop insulin delivery for treatment of type 1 diabetes
Elleri, D., Dunger, D. B., & Hovorka, R. (2011) · BMC Medicine · doi:10.1186/1741-7015-9-120 · Cited by 99 · see citing works
Danne, T., Tsioli, C., Kordonouri, O., Bläsig, S., Remus, K., Roy, A., Keenan, D. B., Lee, S. W., & KAUFMAN, F. R. (2014) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0327 · Cited by 91 · see citing works
Insulin Therapy in Children and Adolescents with Type 1 Diabetes
Malik, F. S., & Taplin, C. E. (2014) · Pediatric Drugs · doi:10.1007/s40272-014-0064-6 · Cited by 84 · see citing works
The AJT Report: News and issues that affect organ and tissue transplantation
Pondrom, S. (2012) · American Journal of Transplantation · doi:10.1111/j.1600-6143.2012.04186.x · Cited by 83 · see citing works
Nestel, P. J., Mellett, N., Pally, S., Wong, G., Barlow, C. K., Croft, K., Mori, T. A., & Meikle, P. J. (2013) · British Journal of Nutrition · doi:10.1017/s0007114513001621 · Cited by 81 · see citing works
Contreras, I., Oviedo, S., Vettoretti, M., VISENTIN, R., & Vehı́, J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0187754 · Cited by 80 · see citing works
An Integrated Multivariable Artificial Pancreas Control System
Turksoy, K., Quinn, L. T., Littlejohn, E., & Cinar, A. (2014) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814524862 · Cited by 77 · see citing works
Zhong, A., Choudhary, P., McMahon, C., Agrawal, P. K., Welsh, J. B., Cordero, T. L., & KAUFMAN, F. R. (2016) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2016.0216 · Cited by 77 · see citing works
Closed-Loop Insulin Delivery in Type 1 Diabetes
Thabit, H., & Hovorka, R. (2012) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2011.12.003 · Cited by 76 · see citing works
Closed-Loop System in the Management of Diabetes: Past, Present, and Future
Shah, V. N., Shoskes, A., Tawfik, B., & Garg, S. K. (2014) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2014.0193 · Cited by 74 · see citing works
Prendin, F., Favero, S. D., Vettoretti, M., Sparacino, G., & Facchinetti, A. (2021) · Sensors · doi:10.3390/s21051647 · Cited by 77 · see citing works
Morbidity and Mortality of Diabetic Ketoacidosis With and Without Insulin Pump Care
Realsen, J., Goettle, H., & Chase, H. P. (2012) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2012.0161 · Cited by 74 · see citing works
Self-citationUpdate in the CNS Response to Hypoglycemia
McCrimmon, R. J. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2011-1927 · Cited by 71 · see citing works
The risks of nocturnal hypoglycaemia in insulin-treated diabetes
Graveling, A. J., & Frier, B. M. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.08.012 · Cited by 73 · see citing works
Prediction of Adverse Glycemic Events From Continuous Glucose Monitoring Signal
Gadaleta, M., Facchinetti, A., Grisan, E., & Rossi, M. (2018) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2018.2823763 · Cited by 67 · see citing works
Zecchin, C., Facchinetti, A., Sparacino, G., & Cobelli, C. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816654161 · Cited by 64 · see citing works
A review of artificial pancreas technologies with an emphasis on bi‐hormonal therapy
Bakhtiani, P. A., Zhao, L., Youssef, J. E., Castle, J. R., & Ward, W. K. (2013) · Diabetes Obesity and Metabolism · doi:10.1111/dom.12107 · Cited by 65 · see citing works
A Novel Adaptive-Weighted-Average Framework for Blood Glucose Prediction
Wang, Y., Wu, X., & Mo, X. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0104 · Cited by 62 · see citing works
A meta-learning approach to the regularized learning—Case study: Blood glucose prediction
Naumova, V., Pereverzev, S. V., & Sivananthan, S. (2012) · Neural Networks · doi:10.1016/j.neunet.2012.05.004 · Cited by 60 · see citing works
Introduction to ISPAD Clinical Practice Consensus Guidelines 2014 Compendium
Acerini, C. L., Craig, M. E., de Beaufort, C. E., Maahs, D. M., & Hanås, R. (2014) · Pediatric Diabetes · doi:10.1111/pedi.12182 · Cited by 59 · see citing works
Hovorka, R., Nodale, M., Haidar, A., & Wilinska, M. E. (2012) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2012.0185 · Cited by 55 · see citing works
Inpatient Studies of a Kalman-Filter-Based Predictive Pump Shutoff Algorithm
Cameron, F., Wilson, D. M., Buckingham, B. A., Arzumanyan, H., Clinton, P. K., Chase, H. P., Lum, J. W., Maahs, D. M., Calhoun, P. M., & Bequette, B. W. (2012) · Journal of Diabetes Science and Technology · doi:10.1177/193229681200600519 · Cited by 56 · see citing works
Self-citationBequette, B. W., Cameron, F. M., Buckingham, B. A., Maahs, D. M., & Lum, J. W. (2018) · IEEE Control Systems · doi:10.1109/mcs.2017.2767119 · Cited by 56 · see citing works
Self-citationSchaepelynck, P., Darmon, P., Molines, L., Jannot-Lamotte, M.-F., Tréglia, C., & Raccah, D. (2011) · Diabetes & Metabolism · doi:10.1016/s1262-3636(11)70972-7 · Cited by 54 · see citing works
Design of the Health Monitoring System for the Artificial Pancreas: Low Glucose Prediction Module
Harvey, R. A., Dassau, E., Zisser, H., Seborg, D. E., Jovanovič, L., & Doyle, F. J. (2012) · Journal of Diabetes Science and Technology · doi:10.1177/193229681200600613 · Cited by 52 · see citing works
Self-citationEvaluation of a Predictive Low-Glucose Management System In-Clinic
Buckingham, B. A., Bailey, T. S., Christiansen, M. P., Garg, S. K., WEINZIMER, S. A., Bode, B. W., Anderson, S. M., Brazg, R., Ly, T. T., & KAUFMAN, F. R. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2016.0319 · Cited by 52 · see citing works
Self-citationVettoretti, M., & Facchinetti, A. (2019) · BioMedical Engineering OnLine · doi:10.1186/s12938-019-0658-x · Cited by 52 · see citing works
Severe Hypoglycemia: Is It Still a Threat for Children and Adolescents With Type 1 Diabetes?
Urakami, T. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00609 · Cited by 53 · see citing works
Treating type 1 diabetes: from strategies for insulin delivery to dual hormonal control.
McCall, A. L., & Farhy, L. S. (2013) · PubMed · Cited by 52 · see citing works
Type 1 Diabetes Hypoglycemia Prediction Algorithms: Systematic Review
Tsichlaki, S., Koumakis, L., & Tsiknakis, M. (2022) · JMIR Diabetes · doi:10.2196/34699 · Cited by 49 · see citing works
Evolution of Devices in Diabetes Management
Penfornis, A., Personeni, E., & Borot, S. (2011) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2011.0058 · Cited by 49 · see citing works
The Impact of Accelerometer and Heart Rate Data on Hypoglycemia Mitigation in Type 1 Diabetes
Stenerson, M. B., Cameron, F., Wilson, D. M., Harris, B., Payne, S. R., Bequette, B. W., & Buckingham, B. A. (2014) · Journal of Diabetes Science and Technology · doi:10.1177/1932296813516208 · Cited by 48 · see citing works
Self-citationZecchin, C., Facchinetti, A., Sparacino, G., & Cobelli, C. (2013) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2012.0208 · Cited by 47 · see citing works
Wearable systems and mobile applications for diabetes disease management
Georga, E. I., Protopappas, V. C., Bellos, C. V., & Fotiadis, D. I. (2014) · Health and Technology · doi:10.1007/s12553-014-0082-y · Cited by 46 · see citing works
Nestel, P. J., Pally, S., MacIntosh, G. L., Greeve, M. A., Middleton, S., Jowett, J. B. M., & Meikle, P. J. (2011) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2011.134 · Cited by 46 · see citing works
Risk-based postprandial hypoglycemia forecasting using supervised learning
Oviedo, S., Contreras, I., Quirós, C., Giménez, M., Conget, I., & Vehı́, J. (2019) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2019.03.008 · Cited by 46 · see citing works
Detection of hypoglycemia associated EEG changes during sleep in type 1 diabetes mellitus
Snogdal, L. S., Folkestad, L., Madsen, R. E., Remvig, L. S., Beck‐Nielsen, H., Thorsteinsson, B., Jennum, P., Gjerstad, M. D., & Juhl, C. B. (2012) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2012.04.014 · Cited by 44 · see citing works
Sleep and the response to hypoglycaemia.
Jauch-Chara, K., & Schultes, B. (2010) · Best practice & research. Clinical endocrinology & metabolism · doi:10.1016/j.beem.2010.07.006 · Cited by 46 · see citing works
Toward Closing the Loop: An Update on Insulin Pumps and Continuous Glucose Monitoring Systems
Aye, T., Block, J. M., & Buckingham, B. A. (2010) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2010.05.005 · Cited by 40 · see citing works
Self-citationAbraham, M. B., Davey, R. J., O'Grady, M. J., Ly, T. T., Paramalingam, N., Fournier, P. A., Roy, A., Grosman, B., Kurtz, N., Fairchild, J. M., et al. (2016) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2016.0141 · Cited by 40 · see citing works
Self-citationIlkowitz, J. T., Katikaneni, R., Cantwell, M., Ramchandani, N., & Heptulla, R. A. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816647976 · Cited by 39 · see citing works
Liu, C., Vehí, J., Avari, P., Reddy, M., Oliver, N., Georgiou, P., & Herrero, P. (2019) · Italian National Conference on Sensors · doi:10.3390/s19194338 · Cited by 41 · see citing works
Lucidi, P., Porcellati, F., Bolli, G. B., & Fanelli, C. G. (2018) · Current Diabetes Reports · doi:10.1007/s11892-018-1065-6 · Cited by 38 · see citing works
Sparacino, G., Zanon, M., Facchinetti, A., Zecchin, C., Maran, A., & Cobelli, C. (2012) · Sensors · doi:10.3390/s121013753 · Cited by 35 · see citing works
Gandía, C. P., García-Sáez, G., Subías, D., Rodríguez-Herrero, A., Aguilera, E. J. G., Rigla, M., & Hernando, M. E. (2018) · Journal of Diabetes Science and Technology · doi:10.1177/1932296818761457 · Cited by 36 · see citing works
Vu, L., Kefayati, S., Idé, T., Pavuluri, V. N., Jackson, G. P., Latts, L., Zhong, Y., Agrawal, P. K., & Chang, Y. (2019) · PubMed Central · Cited by 35 · see citing works
Abraham, M. B., de Bock, M. I., Paramalingam, N., O'Grady, M. J., Ly, T. T., George, C., Roy, A., Spital, G., Karula, S., Heels, K., et al. (2016) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2015.0364 · Cited by 34 · see citing works
Self-citationMultivariable Adaptive Artificial Pancreas System in Type 1 Diabetes
Çınar, A. (2017) · Current Diabetes Reports · doi:10.1007/s11892-017-0920-1 · Cited by 34 · see citing works
Assessment of Blood Glucose Predictors: The Prediction-Error Grid Analysis
Sampath, S., Naumova, V., Man, C. D., Facchinetti, A., Renard, É., Cobelli, C., & Pereverzev, S. V. (2011) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2011.0033 · Cited by 32 · see citing works
Hypoglycemia Early Alarm Systems Based on Recursive Autoregressive Partial Least Squares Models
Bayrak, E. S., Turksoy, K., Çınar, A., Quinn, L. T., Littlejohn, E., & Rollins, D. K. (2013) · Journal of Diabetes Science and Technology · doi:10.1177/193229681300700126 · Cited by 31 · see citing works
Messer, L. H., Forlenza, G. P., Wadwa, R. P., WEINZIMER, S. A., Sherr, J. L., Hood, K. K., Buckingham, B. A., Slover, R. H., & Maahs, D. M. (2017) · Pediatric Diabetes · doi:10.1111/pedi.12535 · Cited by 30 · see citing works
Self-citationHypo- and Hyperglycemic Alarms
Howsmon, D. P., & Bequette, B. W. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296815583507 · Cited by 31 · see citing works
Self-citationWang, W., Wang, S., Wang, X., Liu, D., Geng, Y., & Wu, T. (2020) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2020.3015199 · Cited by 31 · see citing works
Chen, E., King, F., Kohn, M. A., Spanakis, E. K., Breton, M. D., & Klonoff, D. C. (2019) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2019.0119 · Cited by 28 · see citing works
Levy-Loboda, T., Sheetrit, E., Liberty, I. F., Haim, A., & Nissim, N. (2022) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2022.104129 · Cited by 30 · see citing works
Hypoglycemia Detection and Carbohydrate Suggestion in an Artificial Pancreas
Turksoy, K., Kilkus, J. M., Hajizadeh, I., Samadi, S., Feng, J., Sevil, M., Lazaro, C., Hobbs, N., Littlejohn, E., & Çınar, A. (2016) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816658666 · Cited by 27 · see citing works
Kumareswaran, K., Elleri, D., Allen, J. M., Harris, J. R., Xing, D., Kollman, C., Nodale, M., Murphy, H. R., Amiel, S. A., Heller, S. R., et al. (2011) · Journal of Diabetes Science and Technology · doi:10.1177/193229681100500606 · Cited by 28 · see citing works
Rosales, N., Battista, H. D., & Garelli, F. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.103106 · Cited by 26 · see citing works
A clinical review of the t:slim X2 insulin pump
Berget, C., Lange, S. L., Messer, L. H., & Forlenza, G. P. (2020) · Expert Opinion on Drug Delivery · doi:10.1080/17425247.2020.1814734 · Cited by 25 · see citing works
A control engineering approach for designing an optimized treatment plan for fibromyalgia
Deshpande, S., Nandola, N. N., Rivera, D. E., & Younger, J. (2011) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2011.5991518 · Cited by 22 · see citing works
Jump Neural Network for Real-Time Prediction of Glucose Concentration
Zecchin, C., Facchinetti, A., Sparacino, G., & Cobelli, C. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-2239-0_15 · Cited by 23 · see citing works
Insulin pump therapy in youth with type 1 diabetes: toward closed-loop systems
Tauschmann, M., & Hovorka, R. (2014) · Expert Opinion on Drug Delivery · doi:10.1517/17425247.2014.910192 · Cited by 21 · see citing works
Glucose control in non‐critically ill inpatients with diabetes: towards closed‐loop
Thabit, H., & Hovorka, R. (2013) · Diabetes Obesity and Metabolism · doi:10.1111/dom.12228 · Cited by 21 · see citing works
Pinsker, J. E., Bartee, A., Katz, M., Lalonde, A., Jones, R., Dassau, E., & Wolpert, H. (2021) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2020.0619 · Cited by 21 · see citing works
Self-citationThabit, H., & Hovorka, R. (2017) · Diabetic Medicine · doi:10.1111/dme.13563 · Cited by 20 · see citing works
Semi-Closed-Loop Insulin Delivery Systems: Early Experience with Low-Glucose Insulin Suspend Pumps
Pickup, J. C. (2011) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2011.0103 · Cited by 19 · see citing works
Facchinetti, A., Sparacino, G., & Cobelli, C. (2013) · Journal of Diabetes Science and Technology · doi:10.1177/193229681300700522 · Cited by 18 · see citing works
Thabit, H., & Hovorka, R. (2014) · Current Opinion in Endocrinology Diabetes and Obesity · doi:10.1097/med.0000000000000048 · Cited by 18 · see citing works
Abraham, M. B., Nicholas, J. A., Ly, T. T., Roby, H. C., Paramalingam, N., Fairchild, J. M., King, B. R., Ambler, G. R., Cameron, F. J., Davis, E. A., et al. (2016) · BMJ Open · doi:10.1136/bmjopen-2016-011589 · Cited by 18 · see citing works
Self-citationLi, J., Ma, X., Igbe, T., Liu, Y., Kandwal, A., Wang, L., Lu, J., Lu, W., Bao, Y., Zhou, J., et al. (2020) · Journal of Diabetes Research · doi:10.1155/2020/8830774 · Cited by 18 · see citing works
Inpatient studies of a Kalman-filter-based predictive pump shutoff algorithm
Cameron, F., Wilson, D. M., Buckingham, B. A., Arzumanyan, H., Clinton, P. K., Chase, H. P., Lum, J. W., Maahs, D. M., Calhoun, P. M., & Bequette, B. W. (2012) · Diabetes Technology & Therapeutics · Cited by 17 · see citing works
Self-citationImpact of new technologies on diabetes care
Giani, E. (2015) · World Journal of Diabetes · doi:10.4239/wjd.v6.i8.999 · Cited by 17 · see citing works
Predicting hypoglycemia in diabetic patients using data mining techniques
Eljil, K. S., Qadah, G. Z., & Pasquier, M. (2013) · International Conference on Innovations in Information Technology · doi:10.1109/innovations.2013.6544406 · Cited by 16 · see citing works
Closed-loop artificial pancreas
WEINZIMER, S. A. (2012) · Current Opinion in Endocrinology Diabetes and Obesity · doi:10.1097/med.0b013e3283514e6b · Cited by 14 · see citing works
Zhao, H., Zhao, C., Yu, C., & Dassau, E. (2017) · AIChE Journal · doi:10.1002/aic.15983 · Cited by 15 · see citing works
Self-citationChallenges and progress in the development of a closed-loop artificial pancreas
Bequette, B. W. (2012) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2012.6315593 · Cited by 14 · see citing works
Self-citationThe Impact of Technology on Current Diabetes Management
Garvey, K. C., & Wolfsdorf, J. I. (2015) · Pediatric Clinics of North America · doi:10.1016/j.pcl.2015.04.005 · Cited by 14 · see citing works
Klonoff, D. C., Bergenstal, R. M., Garg, S. K., Bode, B. W., Meredith, M., Slover, R. H., Ahmann, A., Welsh, J. B., & Lee, S. W. (2013) · Journal of Diabetes Science and Technology · doi:10.1177/193229681300700424 · Cited by 12 · see citing works
Petruželková, L., Picková, K., Šumnı́k, Z., Šoupal, J., & Obermannová, B. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2016.0459 · Cited by 12 · see citing works
Clinical Requirements for Closed-Loop Control Systems
Clarke, W. L., & Renard, É. (2012) · Journal of Diabetes Science and Technology · doi:10.1177/193229681200600233 · Cited by 13 · see citing works
Messer, L. H., Calhoun, P. M., Buckingham, B. A., Wilson, D. M., HRAMIAK, I. M., Ly, T. T., Driscoll, M., Clinton, P. K., Maahs, D. M., & In Home Closed Loop Study Group (2016) · Pediatric Diabetes · doi:10.1111/pedi.12395 · Cited by 11 · see citing works
Self-citationChakrabarty, A., Zavitsanou, S., Sowrirajan, T., Doyle, F. J., & Dassau, E. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-815655-1.00011-9 · Cited by 11 · see citing works
Self-citation
- Authors
- Buckingham, B., Chase, H. P., Dassau, E., Cobry, E., Clinton, P., Gage, V., Caswell, K., Wilkinson, J., Cameron, F., Lee, H., Bequette, B. W., & Doyle, F. J.
- Affiliations
- Stanford Medicine (US)
- University of Colorado Anschutz (US)
- University of California, Santa Barbara (US)
- Stanford University (US)
- Rensselaer Polytechnic Institute (US)
- Corresponding author
- Chase, H. Peter
- ORCID
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2010-03-03
- Volume
- 33
- Issue
- 5
- Pages
- 1013-1017
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC2858164
- OpenAlex
- W1986471579
- Cited by
- 169
- References
- 29
- Citations by year
- 2025: 3 · 2024: 3 · 2023: 2 · 2022: 4 · 2021: 4 · 2020: 8 · 2019: 10 · 2018: 13 · 2017: 13 · 2016: 14 · 2015: 11 · 2014: 16 · 2013: 19 · 2012: 28
- FWCI
- 16.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes Care (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK085628)
- National Center for Research Resources (5M01 RR00069, RR 000051, M-01 RR 00070, M01RR000051, M01RR000070, M01RR000069)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Keywords
- nocturnal hypoglycemia, type 1 diabetes, continuous glucose monitoring, hypoglycemia prevention
- MeSH terms
- Adolescent, Adult, Algorithms, Blood Glucose, Child, Circadian Rhythm, Diabetes Mellitus, Type 1, Humans, Hypoglycemia, Hypoglycemic Agents, Insulin, Insulin Infusion Systems, Ketones, Predictive Value of Tests, Young Adult, Clinical Alarms
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