Evidence map›Paper›PMID 34368518›Full record

ArticleCurrent opinion in biomedical engineering2021

Review of Automated Insulin Delivery Systems for Individuals with Type 1 Diabetes: Tailored Solutions for Subpopulations.

Eleonora M Aiello, Sunil Deshpande, Basak Ozaslan, Kelilah L Wolkowicz, Eyal Dassau, Jordan E Pinsker, Francis J Doyle

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Current opinion in biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07348432 (The diabEAT Study), which is not on this map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 4% 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.

NCT07348432 recruitingnot on this mapstarted 2024, after this paper: background citation

The diabEAT Study: Insulin dElivery Technologies And eaTing Behaviours in People With Type 1 Diabetes

TypeobservationalSponsorMcGill UniversityRan2024 to 2026Enrolled106ConditionsInsulin Dependent Diabetes Mellitus, Feeding and Eating Disorders, Eating Behavior, Type 1 DiabetesArmsAutomated Insulin Delivery (AID) Systems, Carbohydrate Counting Inaccuracy Percentage
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  14. Observational
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  16. Glucose Rate-of-Change and Insulin-on-Board Jointly Weighted Zone Model Predictive Control.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2023
    Article
  17. Article
  18. Review
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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 3 institutions in 1 country.

Eleonora M Aiello *Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 150 Western Avenue, Boston, Massachusetts 02134, USA.
Sunil Deshpande *Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 150 Western Avenue, Boston, Massachusetts 02134, USA.
Basak Ozaslan *Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 150 Western Avenue, Boston, Massachusetts 02134, USA.
Kelilah L Wolkowicz *Department of Mechanical Engineering, University of Massachusetts Lowell, 1 University Avenue, Lowell, MA 01854, USA.
Eyal DassauHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 150 Western Avenue, Boston, Massachusetts 02134, USA.
Jordan E PinskerSansum Diabetes Research Institute, Santa Barbara, CA.
Francis J DoyleHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 150 Western Avenue, Boston, Massachusetts 02134, USA.
Harvard University · USSansum Diabetes Research Institute · USUniversity of Massachusetts Lowell · US

Funding

Clinical Acceptance of the Artificial Pancreas: the International Diabetes Closed Loop (iDCL) TrialUC4DK108483 · NIDDK · UNIVERSITY OF VIRGINIA · PI ANDERSON, STACEY, DOYLE, FRANCIS J · 2016 to 2016
$12.7M
On-body ecosystem for automated insulin delivery in type 1 diabetesDP3DK113511 · NIDDK · YALE UNIVERSITY · PI DASSAU, EYAL, LAFFEL, LORI M · 2017 to 2017
$3.0M
Automated Glucose Regulation to improve Diabetes Control and Outcomes for Pregnant Women with Type 1 Diabetes and FetusR01DK120358 · NIDDK · HARVARD UNIVERSITY · PI DASSAU, EYAL, KUDVA, YOGISH C. · 2018 to 2020
$2.3M
Pediatric Artificial Pancreas System for Enhanced Diabetes Management in Young Children with Type 1 DiabetesDP3DK104057 · NIDDK · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI DASSAU, EYAL, DOYLE, FRANCIS J · 2014 to 2014
$1.8M
NIDDK NIH HHS DP3 DK104057NIDDK NIH HHS DP3 DK113511NIDDK NIH HHS R01 DK120358NIDDK NIH HHS UC4 DK108483
6 · The paper itself

Abstract

Automated insulin delivery (AID) systems have proven safe and effective in improving glycemic outcomes in individuals with type 1 diabetes (T1D). Clinical evaluation of this technology has progressed to large randomized, controlled outpatient studies and recent commercial approval of AID systems for children and adults. However, several challenges remain in improving these systems for different subpopulations (e.g., young children, athletes, pregnant women, seniors and those with hypoglycemia unawareness). In this review, we highlight the requirements and challenges in AID design for selected subpopulations, and discuss current advances from recent clinical studies.

Indexed as

Automated Insulin DeliveryClinical InvestigationsSubpopulationsType 1 Diabetes

Identifiers

PMID34368518
PMCPMC8336917
OpenAlexW3173676681

What OpenQuestion holds

Textmetadata
LicenceTDM
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.