Evidence map›Paper›PMID 29392187›Full record

ArticleCurrent opinion in biomedical engineering2018

Regeneration mechanism for skin and peripheral nerves clarified at the organ and molecular scales.

Ioannis V Yannas, Dimitrios S Tzeranis, Peter T C So

Abstract read
In one paragraph

Article in Current opinion in biomedical engineering, 2018. 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. Article
  2. Article
  3. Article
  4. Observational
  5. [Experimental study on the effect of three-dimensional porous structures on the vascularization rate of artificial dermis].Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns · 2021
    Article
  6. Improved Dermal Regeneration Using a Combination of Dermal Substitutes and Dermal Fibroblast Optimization: A Hypothesis.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  7. Review
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.

Ioannis V YannasDepartment of Mechanical Engineering Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Dimitrios S TzeranisDepartment of Mechanical Engineering Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Peter T C SoDepartment of Mechanical Engineering Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

Funding

Wide-Field Short-Wave Infrared (SWIR) multiphoton (MP) tissue imagingP41EB015871 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SO, PETER T. · 2012 to 2021
$11.3M
Regenerative Healing Using ECM Based ScaffoldsR01NS051320 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI YANNAS, IOANNIS V · 2006 to 2009
$1.6M
NIBIB NIH HHS P41 EB015871NINDS NIH HHS R01 NS051320
6 · The paper itself

Abstract

This article is a review of current research on the mechanism of regeneration of skin and peripheral nerves based on use of collagen scaffolds, particularly the dermis regeneration template (DRT), which is widely used clinically. DRT modifies the normal wound healing process, converting it from wound closure by contraction and scar formation to closure by regeneration. DRT achieves this modification by blocking wound contraction, which spontaneously leads to cancellation of scar formation, a process secondary to contraction. Contraction blocking by DRT is the result of a dramatic phenotype change in contractile cells (myofibroblasts, MFB) which follows specific binding of integrins α

Indexed as

Contraction blockingIntegrin-ligand interactionPeripheral nervesPhenotype changeRegenerationSkin

Identifiers

PMID29392187
PMCPMC5788464

What OpenQuestion holds

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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.