Evidence map›Paper›PMID 40590461›Full record

ReviewJournal of diabetes science and technology2025

Evolution of the Artificial Pancreas: Components and Integration-CGMs, Insulin, and AP Systems.

Richard M Bergenstal, Adam Heller, Marc D Breton, Robert Vigersky, Susan A Brown, Gregory P Forlenza, Jennifer L Sherr, Roman Hovorka, Steven J Russell, Edward R Damiano and 9 more

Abstract readReview
In one paragraph

Review in Journal of diabetes science and technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Artificial Pancreas: The First 20 Years.Journal of diabetes science and technology · 2025
    Article
  4. Revolutionizing Diabetes Care: From Tech to Therapeutics.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Richard M BergenstalInternational Diabetes Center, HealthPartners Institute, Minneapolis, MN, USA.ORCID 0000-0002-9050-5584
Adam HellerIndependent Researcher, Austin, TX, USA.ORCID 0000-0003-0181-1246
Marc D BretonUniversity of Virginia, Charlottesville, VA, USA.ORCID 0000-0001-7645-2693
Robert VigerskyMedtronic Diabetes, Northridge, CA, USA.ORCID 0000-0002-3546-3385
Susan A BrownUniversity of Virginia, Charlottesville, VA, USA.
Gregory P ForlenzaBarbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.ORCID 0000-0003-3607-9788
Jennifer L SherrDivision of Pediatric Endocrinology, Department of Pediatrics, Yale University School of Medicine, New Haven, CT, USA.ORCID 0000-0001-9301-3043
Roman HovorkaInstitute of Metabolic Science, University of Cambridge, Cambridge, UK.ORCID 0000-0003-2901-461X
Steven J RussellDiabetes Clinical Center and Beta Bionics, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-8423-5891
Edward R DamianoDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Melissa S PutmanDiabetes Research Center, Mass General Hospital, Boston, MA, USA.ORCID 0000-0002-7655-8954
Roy W BeckJaeb Center, Tampa, FL, USA.ORCID 0000-0002-5194-8446
Eric RenardMontpellier University Hospital, Institute of Functional Genomics, CNRS, INSERM, University of Montpellier, Montpellier, France.ORCID 0000-0002-3407-7263
Rayhan LalDivision of Endocrinology, Department of Pediatrics and Medicine, Stanford University, Stanford, CA, USA.ORCID 0000-0002-8055-944X
Claudio CobelliUniversity of Padova, Padova, Italy.ORCID 0000-0002-0169-6682
Eyal DassauHarvard University, Boston, MA, USA.ORCID 0000-0001-5333-6892
Halis K AkturkBarbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.ORCID 0000-0003-4518-5179
Michael A WeissDepartment of Biochemistry & Molecular Biology, School of Medicine, Indiana University, Indianapolis, IN, USA.
Jay S SkylerDiabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA.ORCID 0000-0003-1136-8110

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Holden T. Maecker · 2017 to 2026
$19.5M
Home Use of MD-Logic Automated Insulin Delivery System: Safety and EfficacyUC4DK108611 · NIDDK · HEALTHPARTNERS INSTITUTE · PI BERGENSTAL, RICHARD MAURITZ, PHILLIP, MOSHE · 2015 to 2016
$8.9M
Diabetes Insulin Guidance System to Improve Glycemic Control of Diabetic PatientsR42DK085974 · NIDDK · HYGIEIA RESEARCH, LLC · PI BERGENSTAL, RICHARD MAURITZ · 2013 to 2014
$1.5M
The Optimal Pathway to Implanted Autonomous Insulin DeliveryK23DK122017 · NIDDK · STANFORD UNIVERSITY · PI LAL, RAYHAN · 2020 to 2024
$958k
Automatic Insulin Dosage Adjustment to Improve Glycemic Control of Diabetic PatieR41DK085974 · NIDDK · HYGIEIA RESEARCH, LLC · PI BERGENSTAL, RICHARD MAURITZ · 2010 to 2010
$343k
NIDDK NIH HHS K23 DK122017NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R41 DK085974NIDDK NIH HHS R42 DK085974NIDDK NIH HHS UC4 DK108611
6 · The paper itself

Abstract

The landmark Diabetes Control and Complications Trial (DCCT) showed that glucose control is critical to reducing the risk of diabetes-related complications. This chapter outlines a series of innovations and investigations that followed the DCCT, aimed at minimizing the risk of hypoglycemia while further improving glucose control. The chapter presents an example of innovations in wired enzyme technology that facilitated the movement from capillary glucose monitoring to continuous glucose monitoring (CGM) and ultimately, the first-factory calibrated CGM system. The next glycemic management innovation was to connect CGM data to an insulin pump containing an algorithm able to adjust insulin delivery based on the changing glucose levels and trends. The key features of automated insulin delivery (AID) systems, currently approved in the United States, are presented. The AID summary table includes type of pump, type and function of the insulin delivery algorithm, the data management system, and the indications for use. The next section explores the innovation of alternative routes of insulin delivery to move toward the goal of a fully automated insulin delivery system. The main trials in developing and implementing an implantable intraperitoneal programmable system are summarized. The last section explores if sensor input in addition to glucose levels such as continuous sensing of ketone, lactate, or insulin levels may provide valuable feedback to move us closer to a fully autonomous AID system. Much of this diabetes innovation and investigation work has been supported by the National Institute of Diabetes and Digestive and Kidney Diseases over that last 75 years.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringHypoglycemic AgentsInsulinInsulin Infusion SystemsPancreas, ArtificialAlgorithmsHumansBlood GlucoseHypoglycemic AgentsInsulinartificial pancreasautomated insulin deliverycontinuous glucose monitoringinsulin formulationintraperitoneal insulin deliverymetabolic sensors

Identifiers

PMID40590461
PMCPMC12511942

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.