Evidence map›Paper›PMID 35996582›Full record

ReviewiScience2022

What good is maths in studies of wound healing?

Jake Turley, Isaac V Chenchiah, Tanniemola B Liverpool, Helen Weavers, Paul Martin

Abstract readReview
In one paragraph

Review in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Physical models of embryonic epithelial healing.PLoS computational biology · 2026
    Review
  2. Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025
    Review
  3. Review
  4. Article
  5. Article
  6. Cellular and molecular mechanisms of skin wound healing.Nature reviews. Molecular cell biology · 2024
    Review
  7. 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.

Jake TurleySchool of Mathematics, Fry Building, University of Bristol, Bristol BS8 1UG, UK.
Isaac V ChenchiahSchool of Mathematics, Fry Building, University of Bristol, Bristol BS8 1UG, UK.
Tanniemola B LiverpoolSchool of Mathematics, Fry Building, University of Bristol, Bristol BS8 1UG, UK.
Helen WeaversSchool of Biochemistry, University of Bristol, Bristol BS8 1TD, UK.
Paul MartinSchool of Biochemistry, University of Bristol, Bristol BS8 1TD, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/L01386X/1Wellcome Trust 208762/Z/17/Z
6 · The paper itself

Abstract

Wound healing is an aspect of normal physiology that we all take for granted until it goes wrong, such as, for example, the scarring that results from a severe burn, or those patients who suffer from debilitating chronic wounds that fail to heal. Ever since wound repair research began as a discipline, clinicians and basic scientists have collaborated to try and understand the cell and molecular mechanisms that underpin healthy repair in the hope that this will reveal clues for the therapeutic treatment of pathological healing. In recent decades mathematicians and physicists have begun to join in with this important challenge. Here we describe examples of how mathematical modeling married to biological experimentation has provided insights that biology alone could not fathom. To date, these studies have largely focused on wound re-epithelialization and inflammation, but we also discuss other components of wound healing that might be ripe for similar interdisciplinary approaches.

Indexed as

Computer modelingMathematical biosciences

Identifiers

PMID35996582
PMCPMC9391517

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.