Evidence map›Paper›PMID 23945606›Full record

ArticleCPT: pharmacometrics & systems pharmacology2013

A Generic Integrated Physiologically based Whole-body Model of the Glucose-Insulin-Glucagon Regulatory System.

S Schaller, S Willmann, J Lippert, L Schaupp, T R Pieber, A Schuppert, T Eissing

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Trial
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  6. Article
  7. Review
  8. Toward Systems-Level Metabolic Analysis in Endocrine Disorders and Cancer.Endocrinology and metabolism (Seoul, Korea) · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Mathematical modeling of the glucagon challenge test.Journal of pharmacokinetics and pharmacodynamics · 2019
    Article
  17. Review
  18. Article
  19. Article
  20. 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

7 authors.

S Schaller1] Bayer Technology Services GmbH, Computational Systems Biology, Leverkusen, Germany [2] Aachen Institute for Advanced Study in Computational Engineering Sciences, RWTH Aachen, Aachen, Germany.
S Willmann
J Lippert
L Schaupp
T R Pieber
A Schuppert
T Eissing

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Models of glucose metabolism are a valuable tool for fundamental and applied medical research in diabetes. Use cases range from pharmaceutical target selection to automatic blood glucose control. Standard compartmental models represent little biological detail, which hampers the integration of multiscale data and confines predictive capabilities. We developed a detailed, generic physiologically based whole-body model of the glucose-insulin-glucagon regulatory system, reflecting detailed physiological properties of healthy populations and type 1 diabetes individuals expressed in the respective parameterizations. The model features a detailed representation of absorption models for oral glucose, subcutaneous insulin and glucagon, and an insulin receptor model relating pharmacokinetic properties to pharmacodynamic effects. Model development and validation is based on literature data. The quality of predictions is high and captures relevant observed inter- and intra-individual variability. In the generic form, the model can be applied to the development and validation of novel diabetes treatment strategies.CPT: Pharmacometrics & Systems Pharmacology (2013) 2, e65; doi:10.1038/psp.2013.40; published online 14 August 2013.

Identifiers

PMID23945606
PMCPMC3828004

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Registered trials

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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.