Evidence map›Paper›PMID 21297886›Full record

ArticleJournal of biological dynamics2009

Enhanced modelling of the glucose–insulin system and its applications in insulin therapies.

Haiyan Wang, Jiaxu Li, Yang Kuang

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biological dynamics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 45 citations in OpenAlex.

  1. Bifurcation analysis in a delay model of IVGTT glucose-insulin interaction.Theory in biosciences = Theorie in den Biowissenschaften · 2020
    Article
  2. Article
  3. Article
  4. Article
  5. MATHEMATICAL MODELS OF SUBCUTANEOUS INJECTION OF INSULIN ANALOGUES: A MINI-REVIEW.Discrete and continuous dynamical systems. Series B · 2009
    Article
  6. 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

3 authors at 2 institutions in 1 country.

Haiyan WangDepartment of Mathematical Sciences and Applied Computing, Arizona State University, Phoenix, AZ, USA. wangh@asu.edu
Jiaxu Li
Yang Kuang
Arizona State University · USUniversity of Louisville · US

Funding

Strategic Vision & Impact on Environmental HealthP30ES014443 · NIEHS · UNIVERSITY OF LOUISVILLE · PI RAMOS, KENNETH S. · 2007 to 2010
$4.4M
Mathematical Model of Parotid Acinar DifferentiationR01DE019243 · NIDCR · UNIVERSITY OF LOUISVILLE · PI DARLING, DOUGLAS S, REMPALA, GRZEGORZ A · 2008 to 2012
$2.2M
NIDCR NIH HHS R01 DE019243NIEHS NIH HHS P30 ES014443
6 · The paper itself

Abstract

It is well known that Michaelis–Menten kinetics is suitable for the response function in chemical reaction, when the reaction rate does not increase indefinitely when an excess of resource is available. However, the existing models for insulin therapies assume that the response function of insulin clearance is proportional to the insulin concentration. In this paper, we propose a new model for insulin therapy for both type 1 and type 2 diabetes mellitus, in which the insulin degradation rate assumes Michaelis–Menten kinetics. Our analysis shows that it is possible to mimic pancreatic insulin secretion by exogenous insulin infusions, and our numerical simulations provide clinical strategies for insulin–administration practices.

Indexed as

Models, BiologicalDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Feedback, PhysiologicalGlucoseHumansInsulinGlucoseInsulindiabetesglucose–insulin regulator systeminsulin therapyperiodic solutiontime delay

Identifiers

PMID21297886
PMCPMC3032387
OpenAlexW2158671704

What Socratic holds

Textmetadata
LicenceTDM
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.