Evidence map›Paper›PMID 27708762›Full record

ReviewInterface focus2016

Review on experiment-based two- and three-dimensional models for wound healing.

Daphne Weihs, Amit Gefen, Fred J Vermolen

Abstract readReview
In one paragraph

Review in Interface focus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Physical models of embryonic epithelial healing.PLoS computational biology · 2026
    Review
  2. Start your engines: How migratory fibroblasts respond to and remember mechanical stretch.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Review
  4. Article
  5. Junctional and cytoplasmic contributions in wound healing.Journal of the Royal Society, Interface · 2020
    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.

Daphne WeihsFaculty of Biomedical Engineering , Technion-Israel Institute of Technology , Haifa 3200003 , Israel.ORCID 0000-0002-9670-3418
Amit GefenDepartment of Biomedical Engineering, Faculty of Engineering , Tel Aviv University , Tel Aviv 6997801 , Israel.
Fred J VermolenDepartment of Applied Mathematics , Delft University of Technology , Delft , The Netherlands.ORCID 0000-0003-2212-1711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traumatic and chronic wounds are a considerable medical challenge that affects many populations and their treatment is a monetary and time-consuming burden in an ageing society to the medical systems. Because wounds are very common and their treatment is so costly, approaches to reveal the responses of a specific wound type to different medical procedures and treatments could accelerate healing and reduce patient suffering. The effects of treatments can be forecast using mathematical modelling that has the predictive power to quantify the effects of induced changes to the wound-healing process. Wound healing involves a diverse and complex combination of biophysical and biomechanical processes. We review a wide variety of contemporary approaches of mathematical modelling of gap closure and wound-healing-related processes, such as angiogenesis. We provide examples of the understanding and insights that may be garnered using those models, and how those relate to experimental evidence. Mathematical modelling-based simulations can provide an important visualization tool that can be used for illustrational purposes for physicians, patients and researchers.

Indexed as

angiogenesiscell deformationcell migrationcellular automata modelspartial differential equationsparticle methods

Identifiers

PMID27708762
PMCPMC4992741

What OpenQuestion holds

Textmetadata
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.