Evidence map›Paper›PMID 24876613›Full record

Trial reportJournal of diabetes science and technology2014

An integrated multivariable artificial pancreas control system.

Kamuran Turksoy, Lauretta T Quinn, Elizabeth Littlejohn, Ali Cinar

Open access · bronzeAbstract readClinical TrialComparative Study
In one paragraph

Trial report in Journal of diabetes science and technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

41 citing papers in PubMed, 78 citations in OpenAlex.

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  17. Automated Insulin Delivery Algorithms.Diabetes spectrum : a publication of the American Diabetes Association · 2019
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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 1 country.

Kamuran TurksoyDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA.
Lauretta T QuinnCollege of Nursing, University of Illinois at Chicago, Chicago, IL, USA.
Elizabeth LittlejohnBiological Sciences Division, University of Chicago, Chicago, IL, USA.
Ali CinarDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA Department of Chemical and Biological Engineering, Illinois Institute of Technology, Chicago, IL, USA cinar@iit.edu.
Illinois Institute of Technology · USUniversity of Chicago · USUniversity of Illinois Chicago · US

Funding

Multivariable Closed Loop Technologies for Physically Active Young Adults with TyR01DK085611 · NIDDK · ILLINOIS INSTITUTE OF TECHNOLOGY · PI CINAR, ALI · 2009 to 2010
$438k
NIDDK NIH HHS R01 DK 085611NIDDK NIH HHS R01 DK085611
6 · The paper itself

Abstract

The objective was to develop a closed-loop (CL) artificial pancreas (AP) control system that uses continuous measurements of glucose concentration and physiological variables, integrated with a hypoglycemia early alarm module to regulate glucose concentration and prevent hypoglycemia. Eleven open-loop (OL) and 9 CL experiments were performed. A multivariable adaptive artificial pancreas (MAAP) system was used for the first 6 CL experiments. An integrated multivariable adaptive artificial pancreas (IMAAP) system consisting of MAAP augmented with a hypoglycemia early alarm system was used during the last 3 CL experiments. Glucose values and physical activity information were measured and transferred to the controller every 10 minutes and insulin suggestions were entered to the pump manually. All experiments were designed to be close to real-life conditions. Severe hypoglycemic episodes were seen several times during the OL experiments. With the MAAP system, the occurrence of severe hypoglycemia was decreased significantly (P < .01). No hypoglycemia was seen with the IMAAP system. There was also a significant difference (P < .01) between OL and CL experiments with regard to percentage of glucose concentration (54% vs 58%) that remained within target range (70-180 mg/dl). Integration of an adaptive control and hypoglycemia early alarm system was able to keep glucose concentration values in target range in patients with type 1 diabetes. Postprandial hypoglycemia and exercise-induced hypoglycemia did not occur when this system was used. Physical activity information improved estimation of the blood glucose concentration and effectiveness of the control system.

Indexed as

Insulin Infusion SystemsPancreas, ArtificialAdolescentAdultAlgorithmsBlood GlucoseBlood Glucose Self-MonitoringClinical AlarmsDiabetes Mellitus, Type 1Equipment DesignFemaleHumansHypoglycemiaHypoglycemic AgentsInsulinMaleBlood GlucoseHypoglycemic AgentsInsulinadaptive controlclosed-loophypoglycemiatype 1 diabetes

Identifiers

PMID24876613
PMCPMC4455451
OpenAlexW2120973917

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.