Evidence map›Paper›PMID 27022097›Full record

ArticleJournal of diabetes science and technology2016

Reducing Glucose Variability Due to Meals and Postprandial Exercise in T1DM Using Switched LPV Control: In Silico Studies.

Patricio H Colmegna, Ricardo S Sánchez-Peña, Ravi Gondhalekar, Eyal Dassau, Francis J Doyle

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes science and technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

4 citing papers in PubMed, 28 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. 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
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 ColmegnaNational Scientific and Technical Research Council, Buenos Aires, Argentina Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes, Buenos Aires, Argentina patricio.colmegna@unq.edu.ar.
Ricardo S Sánchez-PeñaNational Scientific and Technical Research Council, Buenos Aires, Argentina Centro de Sistemas y Control, Instituto Tecnológico de Buenos Aires, Buenos Aires, Argentina.
Ravi GondhalekarDepartment of Chemical Engineering, University of California, Santa Barbara, Santa Barbara, CA, USA.
Eyal DassauJohn A. Paulson School of Engineering & Applied Sciences, Harvard University, Cambridge, MA, USA.
Francis J DoyleJohn A. Paulson School of Engineering & Applied Sciences, Harvard University, Cambridge, MA, USA.
Harvard University · USBuenos Aires Institute of Technology · ARCentro Científico Tecnológico - San Juan · ARUniversity of California, Santa Barbara · 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

backgroundTime-varying dynamics is one of the main issues for achieving safe blood glucose control in type 1 diabetes mellitus (T1DM) patients. In addition, the typical disturbances considered for controller design are meals, which increase the glucose level, and physical activity (PA), which increases the subject's sensitivity to insulin. In previous works the authors have applied a linear parameter-varying (LPV) control technique to manage unannounced meals.

methodsA switched LPV controller that switches between 3 LPV controllers, each with a different level of aggressiveness, is designed to further cope with both unannounced meals and postprandial PA. Thus, the proposed control strategy has a "standard" mode, an "aggressive" mode, and a "conservative" mode. The "standard" mode is designed to be applied most of the time, while the "aggressive" mode is designed to deal only with hyperglycemia situations. On the other hand, the "conservative" mode is focused on postprandial PA control.

resultsAn ad hoc simulator has been developed to test the proposed controller. This simulator is based on the distribution version of the UVA/Padova model and includes the effect of PA based on Schiavon.(1) The test results obtained when using this simulator indicate that the proposed control law substantially reduces the risk of hypoglycemia with the conservative strategy, while the risk of hyperglycemia is scarcely affected.

conclusionsIt is demonstrated that the announcement, or anticipation, of exercise is indispensable for letting a mono-hormonal artificial pancreas deal with the consequences of postprandial PA. In view of this the proposed controller allows switching into a conservative mode when notified of PA by the user.

Indexed as

Models, TheoreticalPancreas, ArtificialBlood GlucoseComputer SimulationDiabetes Mellitus, Type 1ExerciseHumansHypoglycemiaBlood Glucoselinear parameter-varying controlpostprandial physical activityswitched systemstype 1 diabetes mellitus

Identifiers

PMID27022097
PMCPMC5038547
OpenAlexW2333193815

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.