Evidence map›Paper›PMID 31244988›Full record

ArticleJournal of tissue engineering

Microarchitectural analysis of decellularised unscarred and scarred dermis provides insight into the organisation and ultrastructure of the human skin with implications for future dermal substitute scaffold design.

Umair Khan, Ardeshir Bayat

Open access · goldAbstract read
In one paragraph

Article in Journal of tissue engineering. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Scars.Nature reviews. Disease primers · 2023
    Review
  3. Healing Mechanisms in Cutaneous Wounds: Tipping the Balance.Tissue engineering. Part B, Reviews · 2022
    Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
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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

2 authors at 1 institution in 1 country.

Umair KhanPlastic and Reconstructive Surgery Research, Division of Musculoskeletal & Dermatological Sciences, NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0002-4351-4058
Ardeshir BayatPlastic and Reconstructive Surgery Research, Division of Musculoskeletal & Dermatological Sciences, NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
Manchester Academic Health Science Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The three-dimensional spatial arrangement of dermal tissue plays a crucial role in directing cellular behaviour during wound healing. It is vital to elucidate a better understanding of the three-dimensional dermal architecture of human skin. We sought to understand the configuration in morphological structure of decellularised human dermis between unscarred skin and normotrophic scars. Skin biopsies underwent decellularisation (DNA removal = 88%). Histological analysis showed no change in gross morphology of decellularised unscarred and scarred dermis. Multiphoton and atomic force microscopies showed that collagen fibres in unscarred decellularised dermis were interwoven akin to a mesh-like structure. Collagen fibres in decellularised unscarred dermis were less stiff (mean: 2.155 ± 0.9595 MPa;

Indexed as

architecturebiomimeticscollagen fibre orientationdecellularisedscarredSkinultrastructureunscarred

Identifiers

PMID31244988
PMCPMC6582285
OpenAlexW2948271066

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.