Evidence map›Paper›PMID 27405001›Full record

ArticleCPT: pharmacometrics & systems pharmacology2016

Understanding the Behavior of Systems Pharmacology Models Using Mathematical Analysis of Differential Equations: Prolactin Modeling as a Case Study.

S Bakshi, E C de Lange, P H van der Graaf, M Danhof, L A Peletier

Abstract read
In one paragraph

Article in CPT: pharmacometrics & systems pharmacology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Impact of mathematical pharmacology on practice and theory: four case studies.Journal of pharmacokinetics and pharmacodynamics · 2018
    Article
  5. Modeling of prolactin response following dopamine DPharmacology research & perspectives · 2017
    Article
  6. Article
  7. Article
  8. 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.

S BakshiSystems Pharmacology, Division of Pharmacology, LACDR, Leiden University, Leiden, The Netherlands.
E C de LangeSystems Pharmacology, Division of Pharmacology, LACDR, Leiden University, Leiden, The Netherlands.
P H van der GraafSystems Pharmacology, Division of Pharmacology, LACDR, Leiden University, Leiden, The Netherlands.
M DanhofSystems Pharmacology, Division of Pharmacology, LACDR, Leiden University, Leiden, The Netherlands.
L A PeletierMathematical Institute, Leiden University, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this tutorial, we introduce basic concepts in dynamical systems analysis, such as phase-planes, stability, and bifurcation theory, useful for dissecting the behavior of complex and nonlinear models. A precursor-pool model with positive feedback is used to demonstrate the power of mathematical analysis. This model is nonlinear and exhibits multiple steady states, the stability of which is analyzed. The analysis offers insight into model behavior and suggests useful parameter regions, which simulations alone could not.

Indexed as

ComprehensionModels, BiologicalModels, TheoreticalSystems AnalysisDose-Response Relationship, DrugHumansMaleProlactinProlactin

Identifiers

PMID27405001
PMCPMC4961077

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.