Cited by 80Diabetes Management and ResearchPancreatic function and diabetesDiabetes Management and Education

A Century of Diabetes Technology: Signals, Models, and Artificial Pancreas Control

Kovatchev, Boris·2019·Trends in Endocrinology & Metabolism

Abstract

Arguably, diabetes mellitus is one of the best-quantified human conditions: elaborate in silico models describe the action of the human metabolic system; real-time signals such as continuous glucose monitoring are readily available; insulin delivery is being automated; and control algorithms are capable of optimizing blood glucose fluctuation in patients' natural environments. The transition of the artificial pancreas (AP) to everyday clinical use is happening now, and is contingent upon seamless concerted work of devices encompassing the patient in a digital treatment ecosystem. This review recounts briefly the story of diabetes technology, which began a century ago with the discovery of insulin, progressed through glucose monitoring and subcutaneous insulin delivery, and is now rapidly advancing towards fully automated clinically viable AP systems.

Integrity signals

Registry

Crossref · 10.1016/j.tem.2019.04.008

Cites

20 of 20 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The development of reliable and accurate continuous glucose monitors allowed for the possibility of integration of glucose data with pump insulin delivery and sparked interest to develop safe and effective algorithms for closed-loop systems.

    “The development of reliable and accurate continuous glucose monitors allowed for the possibility of integration of glucose data with pump insulin delivery and sparked a flurry of interest to develop safe and effective algorithms for closed-loop systems, notably championed by do-it-yourself movements from the diabetes community itself122,125.”
  • By the 1980s, continuous subcutaneous insulin infusion had become a viable alternative means of delivering insulin.

    “By the 1980s, continuous subcutaneous insulin infusion had become a viable alternative means of delivering insulin122.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Kovatchev, B.
Affiliations
University of Virginia (US)
Corresponding author
Kovatchev, Boris
Venue
Trends in Endocrinology & Metabolism
Publisher
Elsevier BV
Published
2019-07
Volume
30
Issue
7
Pages
432-444
ISSN
1043-2760 (ISSN-L)
OpenAlex
W2947163799
Cited by
80
References
20
Citations by year
2026: 8 · 2025: 11 · 2024: 5 · 2023: 20 · 2022: 13 · 2021: 12 · 2020: 9 · 2019: 2
FWCI
1.42
Type
journal article
Language
en
Open access
closed
Locations
  • Trends in Endocrinology and Metabolism (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • University of Virginia Precision Individualized Medicine for Diabetes (PrIMeD) Project
  • NIH
  • NIDDK (RO1 DK051562, RO1 DK 085623, UC4 DK108483)
  • University of Virginia
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
  • Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
Keywords
diabetes mellitus, artificial pancreas, insulin discovery, continuous glucose monitoring, subcutaneous insulin administration, glycemic control, digital health ecosystem
MeSH terms
Algorithms, Blood Glucose, Humans, Insulin, Blood Glucose Self-Monitoring, Pancreas, Artificial

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