Evidence map›Paper›PMID 28529754›Full record

ArticleJournal of materials chemistry. B2017

Chitosan-Poly(caprolactone) Nanofibers for Skin Repair.

Sheeny Lan Levengood, Ariane E Erickson, Fei-Chien Chang, Miqin Zhang

Abstract read
In one paragraph

Article in Journal of materials chemistry. B, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Standardised Matrices for Stem Cells.Advances in experimental medicine and biology · 2025
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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.

Sheeny Lan LevengoodDepartment of Materials Science & Engineering, University of Washington, Seattle, Washington 98195, USA.
Ariane E EricksonDepartment of Materials Science & Engineering, University of Washington, Seattle, Washington 98195, USA.
Fei-Chien ChangDepartment of Materials Science & Engineering, University of Washington, Seattle, Washington 98195, USA.
Miqin ZhangDepartment of Materials Science & Engineering, University of Washington, Seattle, Washington 98195, USA.

Funding

Nanotechnology and Physical Science Training Program in Cancer ResearchT32CA138312 · NCI · UNIVERSITY OF WASHINGTON · PI ZHANG, MIQIN · 2009 to 2013
$1.5M
NCI NIH HHS T32 CA138312
6 · The paper itself

Abstract

Dermal wounds, both acute and chronic, represent a significant clinical challenge and therefore the development of novel biomaterial-based skin substitutes to promote skin repair is essential. Nanofibers have garnered attention as materials to promote skin regeneration due to the similarities in morphology and dimensionality between nanofibers and native extracellular matrix proteins, which are critical in guiding cutaneous wound healing. Electrospun chitosan-poly(caprolactone) (CPCL) nanofiber scaffolds, which combine the important intrinsic biological properties of chitosan and the mechanical integrity and stability of PCL, were evaluated as skin tissue engineering scaffolds using a mouse cutaneous excisional skin defect model. Gross assessment of wound size and measurement of defect recovery over time as well as histological evaluation of wound healing showed that CPCL nanofiber scaffolds increased wound healing rate and promoted more complete wound closure as compared with Tegaderm, a commercially available occlusive dressing. CPCL nanofiber scaffolds represent a biomimetic approach to skin repair by serving as an immediately available provisional matrix to promote wound closure. These nanofiber scaffolds may have significant potential as a skin substitute or as the basis for more complex skin tissue engineering constructs involving integration with biologics.

Indexed as

chitosanNanofibersskintissue engineeringwound healing

Identifiers

PMID28529754
PMCPMC5433941

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.