Evidence map›Paper›PMID 39581335›Full record

ArticleActa biomaterialia2025

Expansion limits of meshed split-thickness skin grafts.

Haomin Yu, Mohammad Jafari, Aliza Mujahid, Chelsea F Garcia, Jaisheel Shah, Riya Sinha, Yuxuan Huang, Delaram Shakiba, Yuan Hong, Danial Cheraghali and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Acta biomaterialia, 2025. 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. Cell-matrix feedback controls stretch-induced cellular memory and fibroblast activation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

16 authors.

Haomin YuNSF Science and Technology Center for Engineering Mechanobiology, USA; Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, USA.
Mohammad JafariNSF Science and Technology Center for Engineering Mechanobiology, USA; Department of Mechanical Engineering, New Jersey Institute of Technology, USA.
Aliza MujahidNSF Science and Technology Center for Engineering Mechanobiology, USA; Department of Mechanical Engineering, New Jersey Institute of Technology, USA.
Chelsea F GarciaDepartment of Mechanical Engineering, New Jersey Institute of Technology, USA.
Jaisheel ShahDepartment of Mechanical Engineering, New Jersey Institute of Technology, USA.
Riya SinhaDepartment of Mechanical Engineering, New Jersey Institute of Technology, USA.
Yuxuan HuangNSF Science and Technology Center for Engineering Mechanobiology, USA; Department of Biomedical Engineering, Washington University in St. Louis, USA.
Delaram ShakibaNSF Science and Technology Center for Engineering Mechanobiology, USA; Department of Pathology, Johns Hopkins University, USA.
Yuan HongNSF Science and Technology Center for Engineering Mechanobiology, USA; Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, USA.
Danial CheraghaliNSF Science and Technology Center for Engineering Mechanobiology, USA; Department of Mechanical Engineering, New Jersey Institute of Technology, USA.
John R S PryceDepartment of Mechanical Engineering, New Jersey Institute of Technology, USA.
Jacob A SandlerNSF Science and Technology Center for Engineering Mechanobiology, USA; Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, USA.
Elliot L ElsonNSF Science and Technology Center for Engineering Mechanobiology, USA; Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, USA; Department of Biochemistry and Molecular Biophysics, Washington University in St. Louis School of Medicine, USA.
Justin M SacksDivision of Plastic and Reconstructive Surgery, Washington University in St. Louis School of Medicine, USA.
Guy M GeninNSF Science and Technology Center for Engineering Mechanobiology, USA; Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, USA; Department of Biomedical Engineering, Washington University in St. Louis, USA. Electronic address: genin@wustl.edu.
Farid AlisafaeiNSF Science and Technology Center for Engineering Mechanobiology, USA; Department of Mechanical Engineering, New Jersey Institute of Technology, USA. Electronic address: farid.alisafaei@njit.edu.

Funding

Strain Analysis Software for Open ScienceR01AR077793 · NIAMS · WASHINGTON UNIVERSITY · PI Guy M Genin, Stavros Thomopoulos · 2020 to 2026
$5.2M
NIAMS NIH HHS R01 AR077793
6 · The paper itself

Abstract

Split-thickness skin grafts are widely used to treat chronic wounds. Procedure design requires surgeons to predict how much a patch of the patient's own skin expands when it is meshed with rows of slits and stretched over a larger wound area. Accurate prediction of graft expansion remains a challenge, with current models overestimating the actual expansion, leading to suboptimal outcomes. Inspired by the principles of mechanical metamaterials, we developed a model that distinguishes between the kinematic rearrangement of structural elements and their stretching, providing a more accurate prediction of skin graft expansion. Our model was validated against extensive data from skin graft surgeries, demonstrating vastly superior predictive capability compared to existing methods. This metamaterial-inspired approach enables informed decision-making for potentially improving healing outcomes. STATEMENT OF SIGNIFICANCE: Accurately predicting the expansion of meshed skin grafts is crucial for minimizing patient trauma and optimizing healing outcomes in reconstructive surgery. However, current quantitative models, which treat grafts as tessellated trusses of rigid bars, fail to accurately estimate graft expansion. We have uncovered the mechanisms underlying skin graft expansion and developed a straightforward method based on these findings. This method, designed for practical use by surgeons, provides accurate predictions of graft expansion, as validated against extensive data from skin graft surgeries.

Indexed as

Skin TransplantationHumansModels, BiologicalSkinTissue ExpansionWound HealingChronic woundsGraft expansionMetamaterial-inspired approachSkin grafts mechanics

Identifiers

PMID39581335
PMCPMC11894795

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.