Evidence map›Paper›PMID 38277161›Full record

Trial reportDiabetes technology & therapeutics2024

Neural-Net Artificial Pancreas: A Randomized Crossover Trial of a First-in-Class Automated Insulin Delivery Algorithm.

Boris Kovatchev, Alberto Castillo, Elliott Pryor, Laura L Kollar, Charlotte L Barnett, Mark D DeBoer, Sue A Brown

Registry-linked trialOpen access · greenAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Diabetes technology & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05876273 (Adaptive Motif-Based Control), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
9.7field-weighted citation impact, top 2% of its field
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.

NCT05876273 nacompletednot on this map

Adaptive Motif-Based Control (AMBC): Pilot 1 - Neural Net Implementation of Automated Insulin Delivery

TypeinterventionalSponsorUniversity of VirginiaRan2023 to 2023Enrolled15ConditionsType1 DiabetesArmsNeural-net Artificial Pancreas, University of Virginia Model Predictive Control
3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Artificial Intelligence in Diabetes Care: Applications, Challenges, and Opportunities Ahead.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025
    Review
  3. Article
  4. The Future of Automated Insulin Delivery Systems.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025
    Review
  5. Metabolic Models, in Silico Trials, and Algorithms.Diabetes technology & therapeutics · 2025
    Review
  6. Metabolic Models, in Silico Trials, and Algorithms.Journal of diabetes science and technology · 2025
    Review
  7. Artificial Pancreas: The First 20 Years.Journal of diabetes science and technology · 2025
    Article
  8. Review
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

7 authors at 1 institution in 1 country.

Boris KovatchevCenter for Diabetes Technology, University of Virginia School of Medicine, Charlottesville, Virginia, USA.ORCID 0000-0003-0495-3901
Alberto CastilloCenter for Diabetes Technology, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Elliott PryorCenter for Diabetes Technology, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Laura L KollarCenter for Diabetes Technology, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Charlotte L BarnettCenter for Diabetes Technology, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Mark D DeBoerCenter for Diabetes Technology, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
Sue A BrownCenter for Diabetes Technology, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
University of Virginia · US

Funding

The integrated Translational Health Research Institute of Virginia (iTHRIV): Using Data to Improve HealthUL1TR003015 · NCATS · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, JOHNSTON, KAREN C. · 2019 to 2023
$20.3M
ADAPTIVE MOTIF-BASED CONTROL (AMBC): A FUNDAMENTALLY NEW APPROACH TO AUTOMATED TREATMENT OPTIMIZATION FOR TYPE 1 DIABETESR01DK133148 · NIDDK · UNIVERSITY OF VIRGINIA · PI SUE A BROWN, BORIS P KOVATCHEV · 2022 to 2026
$3.4M
NCATS NIH HHS UL1 TR003015NIDDK NIH HHS R01 DK133148
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

AlgorithmsBlood GlucoseCross-Over StudiesDiabetes Mellitus, Type 1Hypoglycemic AgentsInsulinInsulin Infusion SystemsNeural Networks, ComputerPancreas, ArtificialAdultAgedFeasibility StudiesFemaleHumansMaleMiddle AgedBlood GlucoseHypoglycemic AgentsInsulinAutomated insulin delivery (AID)Hybrid closed-loop (HCL)Machine learningNeural networksType 1 diabetes

Identifiers

PMID38277161
PMCPMC11305265
OpenAlexW4391253822

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.