Evidence map›Paper›PMID 24801544›Full record

ArticleDiabetes technology & therapeutics2014

Feasibility study of a bio-inspired artificial pancreas in adults with type 1 diabetes.

Monika Reddy, Pau Herrero, Mohamed El Sharkawy, Peter Pesl, Narvada Jugnee, Hazel Thomson, Darrell Pavitt, Christofer Toumazou, Desmond Johnston, Pantelis Georgiou and 1 more

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Diabetes technology & therapeutics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.0field-weighted citation impact, top 9% 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.

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

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Diabetes Technology: Monitoring, Analytics, and Optimal Control.Cold Spring Harbor perspectives in medicine · 2019
    Review
  9. Article
  10. Article
  11. Review
  12. A coordinated control strategy for insulin and glucagon delivery in type 1 diabetes.Computer methods in biomechanics and biomedical engineering · 2017
    Article
  13. Article
  14. A Review of the Current Challenges Associated with the Development of an Artificial Pancreas by a Double Subcutaneous Approach.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2017
    Review
  15. Review
  16. Review
  17. 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

11 authors at 2 institutions in 1 country.

Monika Reddy1 Division of Diabetes, Endocrinology and Metabolism, Imperial College London , London, United Kingdom .
Pau Herrero
Mohamed El Sharkawy
Peter Pesl
Narvada Jugnee
Hazel Thomson
Darrell Pavitt
Christofer Toumazou
Desmond Johnston
Pantelis Georgiou
Nick Oliver
Imperial College London · GBInstitute of Biomedical Science · GB

Funding

Department of Health II-LA-0313-20004Wellcome Trust 100921
6 · The paper itself

Abstract

backgroundThis study assesses proof of concept and safety of a novel bio-inspired artificial pancreas (BiAP) system in adults with type 1 diabetes during fasting, overnight, and postprandial conditions. In contrast to existing glucose controllers in artificial pancreas systems, the BiAP uses a control algorithm based on a mathematical model of β-cell physiology. The algorithm is implemented on a miniature silicon microchip within a portable hand-held device that interfaces the components of the artificial pancreas. MATERIALS AND

methodsIn this nonrandomized open-label study each subject attended for a 6-h fasting study followed by a 13-h overnight and post-breakfast study on a separate occasion. During both study sessions the BiAP system was used, and microboluses of insulin were recommended every 5 min by the control algorithm according to subcutaneous sensor glucose levels. The primary outcome was percentage time spent in the glucose target range (3.9-10.0 mmol/L).

resultsTwenty subjects (55% male; mean [SD] age, 44 [10] years; duration of diabetes, 22 [12] years; glycosylated hemoglobin, 7.4% [0.7%] [57 (7) mmol/mol]; body mass index, 25 [4] kg/m(2)) participated in the fasting study, and the median (interquartile range) percentage time in target range was 98.0% (90.8-100.0%). Seventeen of these subjects then participated in the overnight/postprandial study, where 70.7% (63.9-77.4%) of time was spent in the target range and, reassuringly, 0.0% (0.0-2.3%) of time was spent in hypoglycemia (<3.9 mmol/L).

conclusionsThe BiAP achieves safe glycemic control during fasting, overnight, and postprandial conditions.

Indexed as

Insulin Infusion SystemsPancreas, ArtificialAdultAlgorithmsBlood GlucoseBlood Glucose Self-MonitoringCircadian RhythmDiabetes Mellitus, Type 1Equipment DesignFeasibility StudiesFemaleGlycated HemoglobinHumansHypoglycemic AgentsInsulinInsulin SecretionBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulin

Identifiers

PMID24801544
PMCPMC4135321
OpenAlexW2050297862

What OpenQuestion holds

Textmetadata
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.