The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Continuous glucose monitoring and closed‐loop systems
Abstract
Background The last two decades have witnessed unprecedented technological progress in the development of continuous glucose sensors, resulting in the first generation of commercial glucose monitors. This has fuelled the development of prototypes of a closed‐loop system based on the combination of a continuous monitor, a control algorithm, and an insulin pump. Method A review of electromechanical closed‐loop approaches is presented. This is followed by a review of existing prototypes and associated glucose sensors. A literature review was undertaken from 1960 to 2004. Results Two main approaches exist. The extracorporeal s.c.–s.c. approach employs subcutaneous glucose monitoring and subcutaneous insulin delivery. The implantable i.v.–i.p. approach adopts intravenous sampling and intraperitoneal insulin delivery. Feasibility of both solutions has been demonstrated in small‐scale laboratory studies using either the classical proportional–integral–derivative controller or a model predictive controller. Performance in the home setting has yet to be demonstrated. Conclusions The glucose monitor remains the main limiting factor in the development of a commercially viable closed‐loop system, as presently available monitors fail to demonstrate satisfactory characteristics in terms of reliability and/or accuracy. Regulatory issues are the second limiting factor. Closed‐loop systems are likely to be used first by health‐care professionals in controlled environments such as intensive care units.
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.
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
Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes
Hovorka, R., Canonico, V., Chassin, L. J., Haueter, U., Massi-Benedetti, M., Federici, M. O., Pieber, T. R., Schaller, H. C., Schaupp, L., Vering, T., et al. (2004) · Physiological Measurement · doi:10.1088/0967-3334/25/4/010 · Cited by 1,274
Self-citationPartitioning glucose distribution/transport, disposal, and endogenous production during IVGTT
Hovorka, R., Shojaee-Moradie, F., Carroll, P. V., Chassin, L. J., Gowrie, I. J., Jackson, N. C., Tudor, R. S., Umpleby, A. M., & Jones, R. H. (2002) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00304.2001 · Cited by 393
Self-citationPratipanawatr, T., Cusi, K., Ngo, P., Pratipanawatr, W., Mandarino, L. J., & DeFronzo, R. A. (2002) · Diabetes · doi:10.2337/diabetes.51.2.462 · Cited by 61
Research works printed but not linked: 102
- 10.1111/j.1749-6632.1960.tb23229.x · DOI
- Kadish AH., 1964, Automation control of blood sugar. I. A servomechanism for glucose monitoring and control, Am J Med Electron, 39, 82
- 10.2337/diab.23.5.389 · DOI · Paper page
- 10.2337/diab.23.5.397 · DOI · Paper page
- 10.1055/s-0028-1093841 · DOI
- Clemens AH, 1977, The development of Biostator, a glucose‐controlled insulin infusion system (GCIIS), Horm Metab Res Supplement, 7, 23
- 10.1109/TBME.1976.324639 · DOI
- 10.2337/diabetes.26.7.663 · DOI
- 10.1111/j.1445-5994.1977.tb03687.x · DOI
- 10.1109/TBME.1981.324661 · DOI
- 10.1136/bmj.1.6107.204 · DOI · Paper page
- Panteleon AE, 2004, A novel approach for closed loop control of meal‐induced carbohydrate uptake, Diabetes Technol Ther, 6, 265
- 10.2337/diacare.25.3.593 · DOI · Paper page
- Shimoda S, 1997, Closed‐loop subcutaneous insulin infusion algorithm with a short‐acting insulin analog for long‐term clinical application of a wearable artificial endocrine pancreas, Front Med Biol Eng, 8, 197
- 10.2337/diacare.25.11.2053 · DOI
- 10.1152/ajpendo.1999.277.3.E561 · DOI · Paper page
- 10.1089/152091503322250578 · DOI
- 10.2337/diacare.9.2.124 · DOI
- 10.1055/s-2001-18592 · DOI
- 10.1016/S1262-3636(07)70075-7 · DOI
- 10.1016/S1262-3636(07)70045-9 · DOI
- 10.1089/152091503322527049 · doi:10.1089/152091503322527049
- 10.1089/152091504774198034 · DOI · Paper page
- 10.1109/51.897829 · DOI · Paper page
- 10.1016/j.addr.2003.08.011 · DOI · Paper page
- Clemens AH., 1979, Feedback control dynamics for glucose‐controlled insulin infusion system, Med Prog Technol, 6, 91
- 10.1109/10.740877 · DOI · Paper page
- LynchSM BequetteBW.Estimation‐based model predictive control of blood glucose in type I diabetics: A simulation study.Proceedings of the of the IEEE 27th Annual Northeast Bioengineering Conference2001 79–80. · DOI
- 10.1109/10.709556 · DOI
- 10.1007/978-1-4471-3398-8 · DOI · Paper page
- 10.1016/0025-5564(82)90050-5 · DOI · Paper page
- 10.1109/TBME.1985.325500 · DOI
- 10.2337/diacare.12.10.725 · DOI · Paper page
- 10.1147/sj.314.0635 · doi:10.1147/sj.314.0635
- 10.2337/diab.19.9.644 · DOI · Paper page
- 10.1111/j.0954-6820.1965.tb01810.x · DOI · Paper page
- 10.1055/s-2007-979906 · DOI
- 10.1089/dia.2005.7.72 · DOI
- Shichiri M., 2000, Artificial Endocrine Pancreas: Development and Clinical Applications
- Goriya Y, 1979, The development of an artificial beta cell system and its validation in depancreatized dogs: the physiological restoration of blood glucose homeostasis, Med Prog Technol, 6, 99
- 10.1016/S0140-6736(82)92788-X · DOI · Paper page
- Kawamori R, 1986, Progress in Artificial Organs, 647
- Shimoda S, 2001, Development of closed‐loop intraperitoneal insulin infusion algorithm for a implantable artificial endocrine pancreas, Diabetes, 50, A3
- 10.2337/diacare.17.5.387 · DOI
- 10.1046/j.1525-1594.1998.06043.x · DOI
- 10.2337/diacare.10.5.622 · DOI · Paper page
- 10.2337/diacare.20.6.911 · DOI
- 10.1089/152091504774197990 · DOI
- 10.1152/ajpendo.1999.276.2.E401 · DOI
- Schaller HC, 2002, MPC algorithm controls blood glucose in patients with type 1 diabetes mellitus under fasting conditions using the IV‐SC route, Diabetes Technol Ther, 4, 234
- Schaller HC, 2002, Feasibility of the SC‐SC route for an extracorporeal artificial pancreas, Diabetes, 51, 462
- Schaller HC, 2005, On‐line adaptive algorithm with glucose prediction capacity for subcutaneous closed loop control of glucose: evaluation under fasting conditions in patients with type 1 diabetes, Diabet Med
- Schaller HC, 2003, DM under daily life conditions, Diabetes Metab, 29, A2225
- 10.1007/s001250051637 · DOI
- Vering T., 2004, Minimally invasive control loop system for SC‐SC control on patients with type 1 diabetes, Diabetes Technol Ther, 6, 278
- Mastrototaro J., 1999, The MiniMed continuous glucose monitoring system (CGMS), J Pediatr Endocr Met, 12, 751
- 10.1016/0956-5663(92)85053-D · DOI
- 10.1046/j.1464-5491.2003.01037.x · DOI
- 10.1089/152091500316737 · DOI · Paper page
- 10.1016/S1262-3636(07)70023-X · DOI
- 10.2337/diacare.27.3.722 · DOI
- 10.2337/diacare.25.9.1499 · DOI
- 10.1016/j.jpeds.2004.03.042 · DOI
- 10.2337/diacare.25.7.1185 · DOI
- 10.2337/diacare.26.3.582 · DOI
- 10.2337/diacare.26.1.256 · DOI
- 10.1002/dmrr.309 · DOI
- 10.1111/j.1440-1754.2004.00307.x · DOI
- 10.1016/S1262-3636(07)70076-9 · DOI
- 10.1542/peds.111.5.933 · DOI
- 10.1089/152091504773731285 · DOI · Paper page
- 10.1172/JCI107011 · DOI · Paper page
- 10.2337/diabetes.51.2007.S103 · DOI · Paper page
- 10.1152/ajpendo.00139.2003 · DOI
- 10.1089/152091503322640999 · DOI
- 10.1210/jcem-63-2-492 · DOI · Paper page
- Fieseler P, 1995, Physiological augmentation of amino acid‐induced insulin‐ secretion by GIP and GLP‐I but not by CCK‐8, Am J Physiol, 31, E949
- Louis Sylvestre J., 1987, The cephalis phase of insulin secretion, Diabetes Metab, 13, 63
- Steil GM, 2002, Tuning closed‐loop insulin delivery based on known daily insulin requirements, Diabetes, 51, 510
- Steil GM, 2004, Continuous automated insulin delivery based on subcutaneous glucose sensing and an external insulin pump, Diabetes, 53, A2
- Renard E, 2002, From external to implantable insulin pump, can we close the loop?, Diabetes Metab, 28, S19
- 10.1016/S1471-4892(02)00216-3 · DOI
- Renard E, 2003, Sustained safety and accuracy of central IV glucose sensors connected to implanted insulin pumps and short‐term closed‐loop trials in diabetic patients, Diabetes, 52, A36
- Shah R, 2001, Automatic feedback control of plasma glucose levels in diabetic canines, Diabetes, 50, A3
- Renard E, 2004, Efficacy of closed loop control of blood glucose based on an implantable i.v. sensor and intraperitoneal pump, Diabetes, 53, A114
- 10.1089/152091503322250613 · DOI
- Galley P, 2004, Use of subcutaneous glucose measurements to drive real‐time algorithm‐directed insulin infusion recommendations, Diabetes Technol Ther, 6, 245
- Thukral A, 2004, Conversion of an empirical closed loop algorithm into the MPC framework, Diabetes Technol Ther, 6, 275
- 10.1055/s-2001-18594 · DOI
- 10.1089/152091501300209615 · DOI
- Kalatz B, 1999, Development of algorithms for feedback‐controlled subcutaneous insulin infusion with insulin lispro, Acta Diabetol, 36, 215
- KalatzB.Algorithmen zur Glucosegesteuerten Insulininfusion bei Diabetes Mellitus—Entwicklung und Experimentelle Untersuchung.Medical Dissertation.Ulm Germany: University of Ulm 1999.
- 10.1056/NEJMoa011300 · DOI · Paper page
- 10.1161/01.CIR.99.20.2626 · DOI · Paper page
- 10.1109/TITB.2003.808509 · DOI
- 10.1345/aph.1E018 · DOI
- 10.2337/diacare.27.2.461 · DOI · Paper page
- Goldberg PA, 2004, Implementation of a safe, effective insulin infusion protocol (IIP) in the cardiothoracic (CT) intensive care unit (ICU), Diabetes, 53, A109
- 10.1016/j.ecl.2003.12.001 · DOI
- 10.1002/dmrr.188 · DOI · Paper page
- Canonico V, 2002, Evaluation of a feedback model based on simulated interstitial glucose for continuous insulin infusion, Diabetologia, 45, 995
- 10.1089/152091504773731285 · DOI · Paper page
Cited by
Cryer, P. E., Axelrod, L., Grossman, A. B., Heller, S. R., Montori, V. M., Seaquist, E. R., & Service, F. J. (2009) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2008-1410 · Cited by 1,277
Cryer, P. E., Davis, S. N., & Shamoon, H. (2003) · Diabetes Care · doi:10.2337/diacare.26.6.1902 · Cited by 1,160
Artificial Pancreas: Past, Present, Future
Cobelli, C., Renard, E., & Kovatchev, B. (2011) · Diabetes · doi:10.2337/db11-0654 · Cited by 600
Kv1.3 channels are a therapeutic target for T cell-mediated autoimmune diseases
Beeton, C., Wulff, H., Standifer, N. E., Azam, P., Mullen, K. M., Pennington, M. W., Kolski-Andreaco, A., Wei, E., Grino, A., Counts, D. R., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0605136103 · Cited by 538
Diabetes: Models, Signals, and Control
Cobelli, C., Dalla Man, C., Sparacino, G., Magni, L., De Nicolao, G., & Kovatchev, B. P. (2009) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2009.2036073 · Cited by 511
“This subject has been discussed by numerous research papers since the 1960s, and several surveys are now available [223], [243].”
Metadata
- Authors
- Hovorka, R.
- Venue
- Diabetic Medicine
- Publisher
- Wiley
- Published
- 2005-06-28
- Volume
- 23
- Issue
- 1
- Pages
- 1-12
- ISSN
- 0742-3071 (ISSN-L)
- 1464-5491
- OpenAlex
- W2147750301
- Cited by
- 443
- References
- 3
- FWCI
- 14.96
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Continuous glucose monitoring and closed‐loop systems. https://app.cochat.ai/papers/10.1111/j.1464-5491.2005.01672.x
- The paper
- Hovorka, R. (2006). Continuous glucose monitoring and closed‐loop systems. Diabetic Medicine. https://doi.org/10.1111/j.1464-5491.2005.01672.x
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.