Evidence map›Paper›PMID 34148380›Full record

ArticleTissue engineering. Part C, Methods2021

Pigmented Full-Thickness Human Skin Model Based on a Fibroblast-Derived Matrix for Long-Term Studies.

Patrícia Zoio, Sara Ventura, Mafalda Leite, Abel Oliva

Open access · hybridAbstract read
In one paragraph

Article in Tissue engineering. Part C, Methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

38 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Regenerative biomaterials · 2026
    Review
  6. Article
  7. Skin-on-chip: Quo vadis?APL bioengineering · 2025
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Vegetable Oils in Skin Whitening - A Narrative Review.Current pharmaceutical design · 2025
    Review
  19. Review
  20. 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

4 authors at 2 institutions in 1 country.

Patrícia ZoioBiomolecular Diagnostic Laboratory, Instituto de Tecnologia Química e Biológica (ITQB), Universidade Nova de Lisboa (UNL), Oeiras, Portugal.
Sara VenturaBiomolecular Diagnostic Laboratory, Instituto de Tecnologia Química e Biológica (ITQB), Universidade Nova de Lisboa (UNL), Oeiras, Portugal.
Mafalda LeiteBiomolecular Diagnostic Laboratory, Instituto de Tecnologia Química e Biológica (ITQB), Universidade Nova de Lisboa (UNL), Oeiras, Portugal.
Abel OlivaBiomolecular Diagnostic Laboratory, Instituto de Tecnologia Química e Biológica (ITQB), Universidade Nova de Lisboa (UNL), Oeiras, Portugal.
Universidade Nova de Lisboa · PTInstituto de Biologia Experimental e Tecnológica · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reconstructed human skin models are a valuable tool for drug discovery, disease modeling, and basic research. In the past decades, major progress has been made in this field leading to the development of full-thickness skin models (FTSms) better representative of the native human skin by including the cellular cross talk between the dermal and epidermal layers. However, current available FTSms still present important limitations since they are only suitable for short-term studies, include nonhuman extracellular matrix (ECM) components and have a weak skin barrier function compared with

Indexed as

DermisSkinEpidermal CellsFibroblastsHumansKeratinocytesfibroblast-derived matrixfull thicknessfully humanskintissue engineeringtransepithelial electrical resistance

Identifiers

PMID34148380
PMCPMC8309425
OpenAlexW3176611933

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.