Evidence map›Paper›PMID 36670786›Full record

ReviewAnimals : an open access journal from MDPI2023

Equine Melanocytic Tumors: A Narrative Review.

José Pimenta, Justina Prada, Mário Cotovio

Open access · goldAbstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Equine intraocular melanocytic neoplasia.The Canadian veterinary journal = La revue veterinaire canadienne · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

3 authors at 1 institution in 1 country.

José PimentaVeterinary Sciencies Department, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal.ORCID 0000-0001-7328-2123
Justina PradaVeterinary Sciencies Department, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal.ORCID 0000-0002-3902-5374
Mário CotovioVeterinary Sciencies Department, University of Trás-os-Montes e Alto Douro, 5000-801 Vila Real, Portugal.ORCID 0000-0002-6336-6515
University of Trás-os-Montes and Alto Douro · PT

Funding

Fundação para a Ciência e Tecnologia UIDB/CVT/00772/2020 , LA/P/0059/2020
6 · The paper itself

Abstract

Adult grey horses have a high incidence of melanocytic tumors. This article narratively reviews the role of some genetic features related to melanoma formation in horses, such as STX17 mutation, ASIP or MITF alterations, and the link between the graying process and the development of these tumors. A clear system of clinical and pathological classification of melanocytic tumors in naevus, dermal melanoma, dermal melanomatosis and anaplastic malignant melanoma is provided. Clinical and laboratorial methods of diagnosing are listed, with fine needle aspiration and histopathology being the most relevant. Relevance is given to immunohistochemistry, describing potentially important diagnostic biomarkers such as RACK1 and PNL2. Different therapeutical options available for equine practitioners are mentioned, with surgery, chemotherapy and electroporation being the most common. This article also elucidatesnew fields of research, perspectives, and new therapeutic targets, such as CD47, PD-1 and COX-2 biomarkers.

Indexed as

cutaneous neoplasiaequinemelanocytic tumors

Identifiers

PMID36670786
PMCPMC9855132
OpenAlexW4315567578

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.