Evidence map›Paper›PMID 36229698›Full record

ArticleBiomechanics and modeling in mechanobiology2023

Sensitivity of a two-dimensional biomorphoelastic model for post-burn contraction.

Ginger Egberts, Alexis Desmoulière, Fred Vermolen, Paul van Zuijlen

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. The Course of Scar Formation and Predictors of Scar Quality in 490 Paediatric Burn Patients During the First Year Post-Burn.Wound repair and regeneration : official publication of the Wound Healing Society [and] the European Tissue Repair Society
    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

4 authors.

Ginger EgbertsDelft Institute of Applied Mathematics, Delft University of Technology, Delft, The Netherlands. G.Egberts@tudelft.nl.ORCID http://orcid.org/0000-0003-3601-6496
Alexis DesmoulièreDepartment of Physiology, and EA 6309, Faculty of Pharmacy, University of Limoges, Limoges, France.ORCID http://orcid.org/0000-0003-1096-0702
Fred VermolenResearch Group Computational Mathematics (CMAT), Department of Mathematics and Statistics, University of Hasselt, Hasselt, Belgium.ORCID http://orcid.org/0000-0003-2212-1711
Paul van ZuijlenBurn Centre and Department of Plastic, Reconstructive and Hand Surgery, Red Cross Hospital, Beverwijk, The Netherlands.ORCID http://orcid.org/0000-0003-3461-8848

Funding

Nederlandse Brandwonden Stichting Project 17.105.
6 · The paper itself

Abstract

We consider a two-dimensional biomorphoelastic model describing post-burn scar contraction. This model describes skin displacement and the development of the effective Eulerian strain in the tissue. Besides these mechanical components, signaling molecules, fibroblasts, myofibroblasts, and collagen also play a significant role in the model. We perform a sensitivity analysis for the independent parameters of the model and focus on the effects on features of the relative surface area and the total strain energy density. We conclude that the most sensitive parameters are the Poisson's ratio, the equilibrium collagen concentration, the contraction inhibitor constant, and the myofibroblast apoptosis rate. Next to these insights, we perform a sensitivity analysis where the proliferation rates of fibroblasts and myofibroblasts are not the same. The impact of this model adaptation is significant.

Indexed as

SkinWound HealingCollagenFibroblastsMyofibroblastsCollagenBurnCell proliferationMorphoelasticityMoving-grid finite-elementSensitivityWound contraction

Identifiers

PMID36229698
PMCPMC9957927

What OpenQuestion holds

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LicenceCC BY
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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.