Evidence map›Paper›PMID 35713744›Full record

ReviewDiscover oncology2022

The Zebrafish model in dermatology: an update for clinicians.

Irene Russo, Emma Sartor, Laura Fagotto, Anna Colombo, Natascia Tiso, Mauro Alaibac

Abstract readReview
In one paragraph

Review in Discover oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Zebrafish: A Versatile and Powerful Model for Biomedical Research.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Homology-based identification and structural analysis ofComputational and structural biotechnology journal · 2024
    Article
  10. Review
  11. The Role of the Neurotrophin Network in Skin Squamous Cell Cancer and the Novel Use of the Zebrafish System.JID innovations : skin science from molecules to population health · 2024
    Review
  12. Dermal Dive: An Overview of Cutaneous Wounding Techniques in Zebrafish.The Journal of investigative dermatology · 2024
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. 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

6 authors.

Irene Russo *Unit of Dermatology, University of Padua, Via Gallucci 4, 35128, Padua, Italy.
Emma Sartor *Unit of Dermatology, University of Padua, Via Gallucci 4, 35128, Padua, Italy.
Laura Fagotto *Unit of Dermatology, University of Padua, Via Gallucci 4, 35128, Padua, Italy.
Anna ColomboUnit of Dermatology, University of Padua, Via Gallucci 4, 35128, Padua, Italy.
Natascia Tiso *Department of Biology, University of Padua, Via U. Bassi 58/B, 35131, Padua, Italy.
Mauro Alaibac *Unit of Dermatology, University of Padua, Via Gallucci 4, 35128, Padua, Italy. mauro.alaibac@unipd.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, the zebrafish has been established as one of the most important model organisms for medical research. Several studies have proved that there is a high level of similarity between human and zebrafish genomes, which encourages the use of zebrafish as a model for understanding human genetic disorders, including cancer. Interestingly, zebrafish skin shows several similarities to human skin, suggesting that this model organism is particularly suitable for the study of neoplastic and inflammatory skin disorders. This paper appraises the specific characteristics of zebrafish skin and describes the major applications of the zebrafish model in dermatological research.

Identifiers

PMID35713744
PMCPMC9206045

What Socratic 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 Socratic graph.