Evidence map›Paper›PMID 27824066›Full record

ArticleScientific reports2016

A Novel Insulin/Glucose Model after a Mixed-Meal Test in Patients with Type 1 Diabetes on Insulin Pump Therapy.

Luca Marchetti, Federico Reali, Marco Dauriz, Corinna Brangani, Linda Boselli, Giulia Ceradini, Enzo Bonora, Riccardo C Bonadonna, Corrado Priami

Registry-linked trialAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02003274 (Meal Glucose Regulation in Type 1 Diabetes on Insulin Pump Therapy), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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.

NCT02003274 naunknown statusnot on this map

Meal Glucose Regulation in Type 1 Diabetes on Insulin Pump Therapy: Towards a Better Understanding of the Glucose-Insulin System.

TypeinterventionalSponsorAzienda Ospedaliera Universitaria Integrata VeronaRan2013 to 2017Enrolled20ConditionsType 1 Diabetes MellitusArmsClamp-Mixed Meal, IVGTT-Mixed Meal Arm
3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Luca MarchettiThe Microsoft Research - University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto (TN), Italy.
Federico RealiThe Microsoft Research - University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto (TN), Italy.
Marco DaurizDepartment of Medicine, Section of Endocrinology, University of Verona School of Medicine, Verona, Italy.
Corinna BranganiDepartment of Medicine, Section of Endocrinology, University of Verona School of Medicine, Verona, Italy.
Linda BoselliDepartment of Medicine, Section of Endocrinology, University of Verona School of Medicine, Verona, Italy.
Giulia CeradiniDepartment of Medicine, Section of Endocrinology, University of Verona School of Medicine, Verona, Italy.
Enzo BonoraDepartment of Medicine, Section of Endocrinology, University of Verona School of Medicine, Verona, Italy.
Riccardo C BonadonnaDepartment of Clinical and Experimental Medicine, University of Parma, Parma, Italy.
Corrado PriamiThe Microsoft Research - University of Trento Centre for Computational and Systems Biology (COSBI), Rovereto (TN), Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current closed-loop insulin delivery methods stem from sophisticated models of the glucose-insulin (G/I) system, mostly based on complex studies employing glucose tracer technology. We tested the performance of a new minimal model (GLUKINSLOOP 2.0) of the G/I system to characterize the glucose and insulin dynamics during multiple mixed meal tests (MMT) of different sizes in patients with type 1 diabetes (T1D) on insulin pump therapy (continuous subcutaneous insulin infusion, CSII). The GLUKINSLOOP 2.0 identified the G/I system, provided a close fit of the G/I time-courses and showed acceptable reproducibility of the G/I system parameters in repeated studies of identical and double-sized MMTs. This model can provide a fairly good and reproducible description of the G/I system in T1D patients on CSII, and it may be applied to create a bank of "virtual" patients. Our results might be relevant at improving the architecture of upcoming closed-loop CSII systems.

Indexed as

Feeding BehaviorInsulin Infusion SystemsMealsAdolescentAdultAgedBlood GlucoseDiabetes Mellitus, Type 1FemaleHumansInsulinMaleMiddle AgedModels, StatisticalYoung AdultBlood GlucoseInsulin

Identifiers

PMID27824066
PMCPMC5099899

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Registered trials

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.