Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 443

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

Hovorka, R.·2006·Diabetic Medicine

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1464-5491.2005.01672.x

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 3 references

Research works printed but not linked: 102

  1. 10.1111/j.1749-6632.1960.tb23229.x · DOI
  2. Kadish AH., 1964, Automation control of blood sugar. I. A servomechanism for glucose monitoring and control, Am J Med Electron, 39, 82
  3. 10.2337/diab.23.5.389 · DOI · Paper page
  4. 10.2337/diab.23.5.397 · DOI · Paper page
  5. 10.1055/s-0028-1093841 · DOI
  6. Clemens AH, 1977, The development of Biostator, a glucose‐controlled insulin infusion system (GCIIS), Horm Metab Res Supplement, 7, 23
  7. 10.1109/TBME.1976.324639 · DOI
  8. 10.2337/diabetes.26.7.663 · DOI
  9. 10.1111/j.1445-5994.1977.tb03687.x · DOI
  10. 10.1109/TBME.1981.324661 · DOI
  11. 10.1136/bmj.1.6107.204 · DOI · Paper page
  12. Panteleon AE, 2004, A novel approach for closed loop control of meal‐induced carbohydrate uptake, Diabetes Technol Ther, 6, 265
  13. 10.2337/diacare.25.3.593 · DOI · Paper page
  14. 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
  15. 10.2337/diacare.25.11.2053 · DOI
  16. 10.1152/ajpendo.1999.277.3.E561 · DOI · Paper page
  17. 10.1089/152091503322250578 · DOI
  18. 10.2337/diacare.9.2.124 · DOI
  19. 10.1055/s-2001-18592 · DOI
  20. 10.1016/S1262-3636(07)70075-7 · DOI
  21. 10.1016/S1262-3636(07)70045-9 · DOI
  22. 10.1089/152091503322527049 · doi:10.1089/152091503322527049
  23. 10.1089/152091504774198034 · DOI · Paper page
  24. 10.1109/51.897829 · DOI · Paper page
  25. 10.1016/j.addr.2003.08.011 · DOI · Paper page
  26. Clemens AH., 1979, Feedback control dynamics for glucose‐controlled insulin infusion system, Med Prog Technol, 6, 91
  27. 10.1109/10.740877 · DOI · Paper page
  28. 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
  29. 10.1109/10.709556 · DOI
  30. 10.1007/978-1-4471-3398-8 · DOI · Paper page
  31. 10.1016/0025-5564(82)90050-5 · DOI · Paper page
  32. 10.1109/TBME.1985.325500 · DOI
  33. 10.2337/diacare.12.10.725 · DOI · Paper page
  34. 10.1147/sj.314.0635 · doi:10.1147/sj.314.0635
  35. 10.2337/diab.19.9.644 · DOI · Paper page
  36. 10.1111/j.0954-6820.1965.tb01810.x · DOI · Paper page
  37. 10.1055/s-2007-979906 · DOI
  38. 10.1089/dia.2005.7.72 · DOI
  39. Shichiri M., 2000, Artificial Endocrine Pancreas: Development and Clinical Applications
  40. 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
  41. 10.1016/S0140-6736(82)92788-X · DOI · Paper page
  42. Kawamori R, 1986, Progress in Artificial Organs, 647
  43. Shimoda S, 2001, Development of closed‐loop intraperitoneal insulin infusion algorithm for a implantable artificial endocrine pancreas, Diabetes, 50, A3
  44. 10.2337/diacare.17.5.387 · DOI
  45. 10.1046/j.1525-1594.1998.06043.x · DOI
  46. 10.2337/diacare.10.5.622 · DOI · Paper page
  47. 10.2337/diacare.20.6.911 · DOI
  48. 10.1089/152091504774197990 · DOI
  49. 10.1152/ajpendo.1999.276.2.E401 · DOI
  50. 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
  51. Schaller HC, 2002, Feasibility of the SC‐SC route for an extracorporeal artificial pancreas, Diabetes, 51, 462
  52. 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
  53. Schaller HC, 2003, DM under daily life conditions, Diabetes Metab, 29, A2225
  54. 10.1007/s001250051637 · DOI
  55. Vering T., 2004, Minimally invasive control loop system for SC‐SC control on patients with type 1 diabetes, Diabetes Technol Ther, 6, 278
  56. Mastrototaro J., 1999, The MiniMed continuous glucose monitoring system (CGMS), J Pediatr Endocr Met, 12, 751
  57. 10.1016/0956-5663(92)85053-D · DOI
  58. 10.1046/j.1464-5491.2003.01037.x · DOI
  59. 10.1089/152091500316737 · DOI · Paper page
  60. 10.1016/S1262-3636(07)70023-X · DOI
  61. 10.2337/diacare.27.3.722 · DOI
  62. 10.2337/diacare.25.9.1499 · DOI
  63. 10.1016/j.jpeds.2004.03.042 · DOI
  64. 10.2337/diacare.25.7.1185 · DOI
  65. 10.2337/diacare.26.3.582 · DOI
  66. 10.2337/diacare.26.1.256 · DOI
  67. 10.1002/dmrr.309 · DOI
  68. 10.1111/j.1440-1754.2004.00307.x · DOI
  69. 10.1016/S1262-3636(07)70076-9 · DOI
  70. 10.1542/peds.111.5.933 · DOI
  71. 10.1089/152091504773731285 · DOI · Paper page
  72. 10.1172/JCI107011 · DOI · Paper page
  73. 10.2337/diabetes.51.2007.S103 · DOI · Paper page
  74. 10.1152/ajpendo.00139.2003 · DOI
  75. 10.1089/152091503322640999 · DOI
  76. 10.1210/jcem-63-2-492 · DOI · Paper page
  77. 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
  78. Louis Sylvestre J., 1987, The cephalis phase of insulin secretion, Diabetes Metab, 13, 63
  79. Steil GM, 2002, Tuning closed‐loop insulin delivery based on known daily insulin requirements, Diabetes, 51, 510
  80. Steil GM, 2004, Continuous automated insulin delivery based on subcutaneous glucose sensing and an external insulin pump, Diabetes, 53, A2
  81. Renard E, 2002, From external to implantable insulin pump, can we close the loop?, Diabetes Metab, 28, S19
  82. 10.1016/S1471-4892(02)00216-3 · DOI
  83. 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
  84. Shah R, 2001, Automatic feedback control of plasma glucose levels in diabetic canines, Diabetes, 50, A3
  85. Renard E, 2004, Efficacy of closed loop control of blood glucose based on an implantable i.v. sensor and intraperitoneal pump, Diabetes, 53, A114
  86. 10.1089/152091503322250613 · DOI
  87. Galley P, 2004, Use of subcutaneous glucose measurements to drive real‐time algorithm‐directed insulin infusion recommendations, Diabetes Technol Ther, 6, 245
  88. Thukral A, 2004, Conversion of an empirical closed loop algorithm into the MPC framework, Diabetes Technol Ther, 6, 275
  89. 10.1055/s-2001-18594 · DOI
  90. 10.1089/152091501300209615 · DOI
  91. Kalatz B, 1999, Development of algorithms for feedback‐controlled subcutaneous insulin infusion with insulin lispro, Acta Diabetol, 36, 215
  92. KalatzB.Algorithmen zur Glucosegesteuerten Insulininfusion bei Diabetes Mellitus—Entwicklung und Experimentelle Untersuchung.Medical Dissertation.Ulm Germany: University of Ulm 1999.
  93. 10.1056/NEJMoa011300 · DOI · Paper page
  94. 10.1161/01.CIR.99.20.2626 · DOI · Paper page
  95. 10.1109/TITB.2003.808509 · DOI
  96. 10.1345/aph.1E018 · DOI
  97. 10.2337/diacare.27.2.461 · DOI · Paper page
  98. Goldberg PA, 2004, Implementation of a safe, effective insulin infusion protocol (IIP) in the cardiothoracic (CT) intensive care unit (ICU), Diabetes, 53, A109
  99. 10.1016/j.ecl.2003.12.001 · DOI
  100. 10.1002/dmrr.188 · DOI · Paper page
  101. Canonico V, 2002, Evaluation of a feedback model based on simulated interstitial glucose for continuous insulin infusion, Diabetologia, 45, 995
  102. 10.1089/152091504773731285 · DOI · Paper page

Cited by

See all 443

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.