Evidence map›Paper›PMID 26452196›Full record

ArticleIEEE transactions on bio-medical engineering2016

Switched LPV Glucose Control in Type 1 Diabetes.

Patricio H Colmegna, Ricardo S Sanchez-Pena, Ravi Gondhalekar, Eyal Dassau, Frank J Doyle

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 77 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. ChatteringIET systems biology · 2020
    Article
  6. Article
  7. Article
  8. Velocity-weighting & velocity-penalty MPC of an artificial pancreas: Improved safety & performance.Automatica : the journal of IFAC, the International Federation of Automatic Control · 2018
    Article
  9. Periodic zone-MPC with asymmetric costs for outpatient-ready safety of an artificial pancreas to treat type 1 diabetesAutomatica : the journal of IFAC, the International Federation of Automatic Control · 2016
    Article
  10. 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

5 authors at 4 institutions in 2 countries.

Patricio H Colmegna
Ricardo S Sanchez-Pena
Ravi Gondhalekar
Eyal Dassau
Frank J Doyle
Harvard University · USConsejo Nacional de Investigaciones Científicas y Técnicas · ARNational University of Quilmes · ARUniversity of California, Berkeley · US

Funding

Ambulatory Artificial Pancreas: merging physiology, behavior, and control designDP3DK094331 · NIDDK · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI BASU, ANANDA, DOYLE, FRANCIS J · 2011 to 2014
$4.6M
Closed-loop Artificial Pancreas: Algorithm Engineering and Clinical EvaluationR01DK085628 · NIDDK · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI DOYLE, FRANCIS J, JOVANOVIC, LOIS · 2009 to 2013
$3.4M
NIDDK NIH HHS DP3 DK094331NIDDK NIH HHS R01 DK085628
6 · The paper itself

Abstract

objectiveThe purpose of this paper is to regulate the blood glucose level in Type 1 Diabetes Mellitus patients with a practical and flexible procedure that can switch among a finite number of distinct controllers, depending on the user's choice.

methodsA switched linear parameter-varying controller with multiple switching regions, related to hypo-, hyper-, and euglycemia situations, is designed. The key feature is to arrange the controller into a framework that provides stability and performance guaranty.

resultsThe closed-loop performance is tested on the complete in silico adult cohort of the UVA/Padova metabolic simulator, which has been accepted by the U.S. Food and Drug Administration in lieu of animal trials. The outcome produces comparable or improved results with respect to previous works.

conclusionThe strategy is practical because it is based on a model tuned only with a priori patient information in order to cover the interpatient uncertainty. Results confirm that this control structure yields tangible improvements in minimizing risks of hyper- and hypoglycemia in scenarios with unannounced meals. SIGNIFICANCE: This flexible procedure opens the possibility of taking into account, at the design stage, unannounced meals and/or patients' physical exercise.

Indexed as

Insulin Infusion SystemsPancreas, ArtificialSignal Processing, Computer-AssistedAlgorithmsBlood GlucoseComputer SimulationDiabetes Mellitus, Type 1HumansHypoglycemic AgentsInsulinModels, BiologicalBlood GlucoseHypoglycemic AgentsInsulin

Identifiers

PMID26452196
PMCPMC4917468
OpenAlexW2405101378

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.