Evidence map›Paper›PMID 33324238›Full record

ReviewFrontiers in physiology2020

Mathematical Modeling for the Physiological and Clinical Investigation of Glucose Homeostasis and Diabetes.

Andrea Mari, Andrea Tura, Eleonora Grespan, Roberto Bizzotto

Abstract readReview
In one paragraph

Review in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Review
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  4. A Hybrid ODE-NN Framework for Modeling Incomplete Physiological Systems.IEEE transactions on bio-medical engineering · 2025
    Article
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  14. Review
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  17. [Exenatide promotes cholesterol efflux in pancreatic tissue of obese diabetic rats].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2021
    Article
  18. 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

4 authors.

Andrea MariInstitute of Neuroscience, National Research Council, Padua, Italy.
Andrea TuraInstitute of Neuroscience, National Research Council, Padua, Italy.
Eleonora GrespanInstitute of Neuroscience, National Research Council, Padua, Italy.
Roberto BizzottoInstitute of Neuroscience, National Research Council, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mathematical modeling in the field of glucose metabolism has a longstanding tradition. The use of models is motivated by several reasons. Models have been used for calculating parameters of physiological interest from experimental data indirectly, to provide an unambiguous quantitative representation of pathophysiological mechanisms, to determine indices of clinical usefulness from simple experimental tests. With the growing societal impact of type 2 diabetes, which involves the disturbance of the glucose homeostasis system, development and use of models in this area have increased. Following the approaches of physiological and clinical investigation, the focus of the models has spanned from representations of whole body processes to those of cells, i.e., from

Indexed as

glucose homeostasisglucose metabolisminsulin secretionmathematical modelingtype 2 diabetes

Identifiers

PMID33324238
PMCPMC7723974

What Socratic holds

Textmetadata
LicenceCC BY
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.