Evidence map›Paper›PMID 28929796›Full record

ArticleComputer methods in biomechanics and biomedical engineering2017

A coordinated control strategy for insulin and glucagon delivery in type 1 diabetes.

Pau Herrero, Jorge Bondia, Nick Oliver, Pantelis Georgiou

Open access · greenAbstract read
In one paragraph

Article in Computer methods in biomechanics and biomedical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.8field-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

6 citing papers in PubMed, 28 citations in OpenAlex.

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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

4 authors at 3 institutions in 2 countries.

Pau Herreroa Centre for Bio-Inspired Technology, Institute of Biomedical Engineering , Imperial College London , London , UK.
Jorge Bondiab Institut Universitari d'Automàtica i Informàtica Industrial , Universitat Politècnica de València , València , Spain.
Nick Oliverc Charing Cross Hospital, Imperial College Healthcare NHS Trust , London , UK.
Pantelis Georgioua Centre for Bio-Inspired Technology, Institute of Biomedical Engineering , Imperial College London , London , UK.
Imperial College London · GBCharing Cross Hospital · GBUniversitat Politècnica de València · ES

Funding

Wellcome Trust 100921
6 · The paper itself

Abstract

Type 1 diabetes is an autoimmune condition characterised by a pancreatic insulin secretion deficit, resulting in high blood glucose concentrations, which can lead to micro- and macrovascular complications. Type 1 diabetes also leads to impaired glucagon production by the pancreatic α-cells, which acts as a counter-regulatory hormone to insulin. A closed-loop system for automatic insulin and glucagon delivery, also referred to as an artificial pancreas, has the potential to reduce the self-management burden of type 1 diabetes and reduce the risk of hypo- and hyperglycemia. To date, bihormonal closed-loop systems for glucagon and insulin delivery have been based on two independent controllers. However, in physiology, the secretion of insulin and glucagon in the body is closely interconnected by paracrine and endocrine associations. In this work, we present a novel biologically-inspired glucose control strategy that accounts for such coordination. An in silico study using an FDA-accepted type 1 simulator was performed to evaluate the proposed coordinated control strategy compared to its non-coordinated counterpart, as well as an insulin-only version of the controller. The proposed coordinated strategy achieves a reduction of hyperglycemia without increasing hypoglycemia, when compared to its non-coordinated counterpart.

Indexed as

Drug Delivery SystemsAdolescentAdultBlood GlucoseChildComputer SimulationDiabetes Mellitus, Type 1GlucagonHumansInsulinPancreas, ArtificialBlood GlucoseGlucagonInsulinArtificial pancreasbihormonal controlclosed-loop controldiabetesglucose controlinsulin delivery

Identifiers

PMID28929796
PMCPMC6522378
OpenAlexW2754930286

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.