Evidence map›Paper›PMID 31178632›Full record

ArticleJournal of process control2019

A New Animal Model of Insulin-Glucose Dynamics in the Intraperitoneal Space Enhances Closed-Loop Control Performance.

Ankush Chakrabarty, Justin M Gregory, L Merkle Moore, Philip E Williams, Ben Farmer, Alan D Cherrington, Peter Lord, Brian Shelton, Don Cohen, Howard C Zisser and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of process control, 2019. 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
1.8field-weighted citation impact, top 15% 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, 21 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. APL bioengineering · 2023
    Article
  5. Review
  6. 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

12 authors at 5 institutions in 1 country.

Ankush ChakrabartyHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
Justin M GregoryVanderbilt University Medical Center, Nashville, TN.
L Merkle MooreDepartment of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN.
Philip E WilliamsSection of Surgical Sciences, Vanderbilt University School of Medicine, Nashville, TN.
Ben FarmerDepartment of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN.
Alan D CherringtonDepartment of Molecular Physiology and Biophysics, Vanderbilt University School of Medicine, Nashville, TN.
Peter LordPhysiologic Devices, Inc., Alpine, CA.
Brian SheltonPhysiologic Devices, Inc., Alpine, CA.
Don CohenPhysiologic Devices, Inc., Alpine, CA.
Howard C ZisserDepartment of Chemical Engineering, University of California Santa Barbara, Santa Barbara, CA.
Francis J DoyleHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
Eyal DassauHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA.
Vanderbilt University · USAnalog Devices (United States) · USHarvard University · USUniversity of California, Santa Barbara · USVanderbilt University Medical Center · US

Funding

Vanderbilt Diabetes Research CenterP30DK020593 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Roland W Stein · 2012 to 2026
$29.3M
Vanderbilt Mouse Metabolic Physiology CenterU24DK059637 · NIDDK · VANDERBILT UNIVERSITY · PI WASSERMAN, DAVID H · 2001 to 2015
$14.9M
Vanderbilt Mouse Metabolic Phenotyping CenterU2CDK059637 · NIDDK · VANDERBILT UNIVERSITY · PI WASSERMAN, DAVID H · 2016 to 2021
$6.3M
Pathogenesis, Targeted Therapeutics, and New Vaccines for Childhood DiseaseK12HD087023 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Michael R. DeBaun, Juan C Salazar · 2016 to 2026
$4.1M
On-body ecosystem for automated insulin delivery in type 1 diabetesDP3DK113511 · NIDDK · YALE UNIVERSITY · PI DASSAU, EYAL, LAFFEL, LORI M · 2017 to 2017
$3.0M
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
NICHD NIH HHS K12 HD087023NIDDK NIH HHS DP3 DK101068NIDDK NIH HHS DP3 DK104057NIDDK NIH HHS DP3 DK113511NIDDK NIH HHS P30 DK020593NIDDK NIH HHS U24 DK059637NIDDK NIH HHS U2C DK059637
6 · The paper itself

Abstract

Current artificial pancreas systems (AP) operate via subcutaneous (SC) glucose sensing and SC insulin delivery. Due to slow diffusion and transport dynamics across the interstitial space, even the most sophisticated control algorithms in on-body AP systems cannot react fast enough to maintain tight glycemic control under the effect of exogenous glucose disturbances caused by ingesting meals or performing physical activity. Recent efforts made towards the development of an implantable AP have explored the utility of insulin infusion in the intraperitoneal (IP) space: a region within the abdominal cavity where the insulin-glucose kinetics are observed to be much more rapid than the SC space. In this paper, a series of canine experiments are used to determine the dynamic association between IP insulin boluses and plasma glucose levels. Data from these experiments are employed to construct a new mathematical model and to formulate a closed-loop control strategy to be deployed on an implantable AP. The potential of the proposed controller is demonstrated via

Indexed as

alternative sitescanine modelintraperitoneal cavityPredictive modelproportional-integral-derivative (PID) controltype 1 diabetes

Identifiers

PMID31178632
PMCPMC6548466
OpenAlexW2915209366

What Socratic 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 Socratic graph.