Evidence map›Paper›PMID 27942106›Full record

ArticleIndustrial & engineering chemistry research2016

Enhanced Model Predictive Control (eMPC) Strategy for Automated Glucose Control.

Joon Bok Lee, Eyal Dassau, Ravi Gondhalekar, Dale E Seborg, Jordan E Pinsker, Francis J Doyle

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Industrial & engineering chemistry research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
  2. Review
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  6. 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
  7. Article
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  10. Review of the OmnipodTherapeutic delivery · 2020
    Review
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  13. Article
  14. Article
  15. Article
  16. 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
  17. Article
  18. Article
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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

6 authors at 2 institutions in 1 country.

Joon Bok LeeDepartment of Chemical Engineering, University of California, Santa Barbara, CA 93106, USA; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA; William Sansum Diabetes Center, 2219 Bath Street, Santa Barbara, CA 93105.
Eyal DassauDepartment of Chemical Engineering, University of California, Santa Barbara, CA 93106, USA; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA; William Sansum Diabetes Center, 2219 Bath Street, Santa Barbara, CA 93105.
Ravi GondhalekarHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA; William Sansum Diabetes Center, 2219 Bath Street, Santa Barbara, CA 93105.
Dale E SeborgDepartment of Chemical Engineering, University of California, Santa Barbara, CA 93106, USA.
Jordan E PinskerWilliam Sansum Diabetes Center, 2219 Bath Street, Santa Barbara, CA 93105.
Francis J DoyleDepartment of Chemical Engineering, University of California, Santa Barbara, CA 93106, USA; Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA; William Sansum Diabetes Center, 2219 Bath Street, Santa Barbara, CA 93105.
Sansum Diabetes Research Institute · USUniversity of California, Santa Barbara · US

Funding

An Implanted Intraperitoneal (IP-IP) Artificial Pancreas; a quantum leap forwardDP3DK101068 · NIDDK · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI ZISSER, HOWARD · 2013 to 2016
$2.6M
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 DK101068NIDDK NIH HHS DP3 DK104057
6 · The paper itself

Abstract

Development of an effective artificial pancreas (AP) controller to deliver insulin autonomously to people with type 1 diabetes mellitus is a difficult task. In this paper, three enhancements to a clinically validated AP model predictive controller (MPC) are proposed that address major challenges facing automated blood glucose control, and are then evaluated by both

Identifiers

PMID27942106
PMCPMC5144164
OpenAlexW2556169250

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.