Evidence map›Paper›PMID 16929923›Full record

ArticleMedical & biological engineering & computing2006

Control oriented model of insulin and glucose dynamics in type 1 diabetics.

Pier Giorgio Fabietti, Valentina Canonico, Marco Orsini Federici, Massimo Massi Benedetti, Eugenio Sarti

Abstract read
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Article in Medical & biological engineering & computing, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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.

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

16 citing papers in PubMed.

  1. Article
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  4. ChatteringIET systems biology · 2020
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  5. Review
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  15. Multi-objective blood glucose control for type 1 diabetes.Medical & biological engineering & computing · 2009
    Article
  16. Review
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.

Pier Giorgio FabiettiDepartment of Internal Medicine, University of Perugia, Str. Villa Gemini, 4, 06126 Perugia, Italy. bioingegneria@dimisem.med.unipg.it
Valentina Canonico
Marco Orsini Federici
Massimo Massi Benedetti
Eugenio Sarti

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the study was to realize a mathematical model of insulin-glucose relationship in type I diabetes and test its effectiveness for the design of control algorithms in external artificial pancreas. A new mathematical model, divided into glucose and insulin sub-models, was developed from the so-called "minimal model". The key feature is the representation of insulin sensitivity so as to permit the personalisation of the parameters. Real-time applications are based on an insulin standardised model. Clinical data were used to estimate model parameters. Root mean square error between simulated and real blood glucose profiles (G(rms)) was used to evaluate system efficacy. Results from parameter estimation and insulin standardisation showed a good capability of the model to identify individual characteristics. Simulation results with a G(rms) 1.30 mmol/l in the worst case testified the capacity of the model to accurately represent glucose-insulin relationship in type 1 diabetes allowing self tuning in real time.

Indexed as

Computer SimulationAlgorithmsBlood GlucoseDiabetes Mellitus, Type 1Feedback, PhysiologicalHumansInsulinModels, BiologicalPancreas, ArtificialBlood GlucoseInsulin

Identifiers

What OpenQuestion holds

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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.