Evidence map›Paper›PMID 27826736›Full record

ArticleJournal of mathematical biology2017

A mathematical model for the simulation of the contraction of burns.

Daniël C Koppenol, Fred J Vermolen, Gabriela V Koppenol-Gonzalez, Frank B Niessen, Paul P M van Zuijlen, Kees Vuik

Abstract read
In one paragraph

Article in Journal of mathematical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. The Future of Burn Care From a Complexity Science Perspective.Journal of burn care & research : official publication of the American Burn Association · 2022
    Article
  2. Article
  3. Review
  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

6 authors.

Daniël C KoppenolDelft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands. D.C.Koppenol@tudelft.nl.
Fred J VermolenDelft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands.
Gabriela V Koppenol-GonzalezDepartment of Psychology, Education and Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Frank B NiessenDepartment of Plastic, Reconstructive and Hand Surgery, MOVE Research Institute, VU University Medical Centre, Amsterdam, The Netherlands.
Paul P M van ZuijlenDepartment of Plastic, Reconstructive and Hand Surgery, MOVE Research Institute, VU University Medical Centre, Amsterdam, The Netherlands.
Kees VuikDelft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A continuum hypothesis-based model is developed for the simulation of the contraction of burns in order to gain new insights into which elements of the healing response might have a substantial influence on this process. Tissue is modeled as a neo-Hookean solid. Furthermore, (myo)fibroblasts, collagen molecules, and a generic signaling molecule are selected as model components. An overview of the custom-made numerical algorithm is presented. Subsequently, good agreement is demonstrated with respect to variability in the evolution of the surface area of burns over time between the outcomes of computer simulations and measurements obtained in an experimental study. In the model this variability is caused by varying the values for some of its parameters simultaneously. A factorial design combined with a regression analysis are used to quantify the individual contributions of these parameter value variations to the dispersion in the surface area of healing burns. The analysis shows that almost all variability in the surface area can be explained by variability in the value for the myofibroblast apoptosis rate and, to a lesser extent, the value for the collagen molecule secretion rate. This suggests that most of the variability in the evolution of the surface area of burns over time in the experimental study might be attributed to variability in these two rates. Finally, a probabilistic analysis is used in order to investigate in more detail the effect of variability in the values for the two rates on the healing process. Results of this analysis are presented and discussed.

Indexed as

BurnsModels, BiologicalWound HealingAlgorithmsCollagenComputer SimulationHumansCollagenBurnsHeterogeneous, isotropic, compressible neo-Hookean solidMoving-grid finite-element methodMultiple linear regression analysisProbabilistic analysisWound contraction

Identifiers

PMID27826736
PMCPMC5486856

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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.