Evidence map›Paper›PMID 31829209›Full record

ArticleTheoretical biology & medical modelling2019

Modelling the effects of glucagon during glucose tolerance testing.

Ross A Kelly, Molly J Fitches, Steven D Webb, S R Pop, Stewart J Chidlow

Open access · hybridAbstract read
In one paragraph

Article in Theoretical biology & medical modelling, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

5 authors at 3 institutions in 1 country.

Ross A KellyDepartment of Applied Mathematics, Liverpool John Moores University, James Parsons Building, Byrom Street, Liverpool, L3 3AF, UK. R.A.Kelly@ljmu.ac.uk.ORCID 0000-0002-5505-460X
Molly J FitchesSchool of Life Science, University of Dundee, Dundee, UK.
Steven D WebbDepartment of Applied Mathematics, Liverpool John Moores University, James Parsons Building, Byrom Street, Liverpool, L3 3AF, UK.
S R PopDepartment of Computer Science, University of Chester, Chester, UK.
Stewart J ChidlowDepartment of Applied Mathematics, Liverpool John Moores University, James Parsons Building, Byrom Street, Liverpool, L3 3AF, UK.
Liverpool John Moores University · GBUniversity of Chester · GBUniversity of Dundee · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L502273/2
6 · The paper itself

Abstract

backgroundGlucose tolerance testing is a tool used to estimate glucose effectiveness and insulin sensitivity in diabetic patients. The importance of such tests has prompted the development and utilisation of mathematical models that describe glucose kinetics as a function of insulin activity. The hormone glucagon, also plays a fundamental role in systemic plasma glucose regulation and is secreted reciprocally to insulin, stimulating catabolic glucose utilisation. However, regulation of glucagon secretion by α-cells is impaired in type-1 and type-2 diabetes through pancreatic islet dysfunction. Despite this, inclusion of glucagon activity when modelling the glucose kinetics during glucose tolerance testing is often overlooked. This study presents two mathematical models of a glucose tolerance test that incorporate glucose-insulin-glucagon dynamics. The first model describes a non-linear relationship between glucagon and glucose, whereas the second model assumes a linear relationship.

resultsBoth models are validated against insulin-modified and glucose infusion intravenous glucose tolerance test (IVGTT) data, as well as insulin infusion data, and are capable of estimating patient glucose effectiveness (s

conclusionsThe models are used to investigate how different degrees of pax'tient glucagon sensitivity and effectiveness affect the concentration of blood glucose and plasma glucagon during IVGTT and insulin infusion tests, providing a platform from which the role of glucagon dynamics during a glucose tolerance test may be investigated and predicted.

Indexed as

Models, BiologicalBlood GlucoseComputer SimulationGlucagonGlucose Tolerance TestHumansHypoglycemiaInsulin ResistanceLinear ModelsReproducibility of ResultsBlood GlucoseGlucagonGlucagon effectivenessGlucagon sensitivityGlucose-insulin-glucagon dynamicsIntravenous glucose tolerance testLinear glucagon minimal modelMinimal modelNon-linear glucagon minimal model

Identifiers

PMID31829209
PMCPMC6907263
OpenAlexW2995160435

What OpenQuestion 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 OpenQuestion graph.