Evidence map›Paper›PMID 36669020›Full record

ReviewVeterinary sciences2022

An Overview of Epithelial-to-Mesenchymal Transition and Mesenchymal-to-Epithelial Transition in Canine Tumors: How Far Have We Come?

Federico Armando, Federico Mazzola, Luca Ferrari, Attilio Corradi

Open access · goldAbstract readReview
In one paragraph

Review in Veterinary sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. E-Cadherin Immunostaining in Equine Melanocytic Tumors.Animals : an open access journal from MDPI · 2023
    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 2 countries.

Federico ArmandoDepartment of Pathology, University of Veterinary Medicine, Foundation, 30559 Hannover, Germany.ORCID 0000-0002-2578-4409
Federico MazzolaDepartment of Veterinary Science, University of Parma, 43100 Parma, Italy.
Luca FerrariDepartment of Veterinary Science, University of Parma, 43100 Parma, Italy.ORCID 0000-0002-5428-1595
Attilio CorradiDepartment of Veterinary Science, University of Parma, 43100 Parma, Italy.
University of Parma · ITUniversity of Veterinary Medicine Hannover, Foundation · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Historically, pre-clinical and clinical studies in human medicine have provided new insights, pushing forward the contemporary knowledge. The new results represented a motivation for investigators in specific fields of veterinary medicine, who addressed the same research topics from different perspectives in studies based on experimental and spontaneous animal disease models. The study of different pheno-genotypic contexts contributes to the confirmation of translational models of pathologic mechanisms. This review provides an overview of EMT and MET processes in both human and canine species. While human medicine rapidly advances, having a large amount of information available, veterinary medicine is not at the same level. This situation should provide motivation for the veterinary medicine research field, to apply the knowledge on humans to research in pets. By merging the knowledge of these two disciplines, better and faster results can be achieved, thus improving human and canine health.

Indexed as

canine tumorsepithelial-to-mesenchymal transition (EMT)mesenchymal-to-epithelial transition (MET)translational medicine

Identifiers

PMID36669020
PMCPMC9865109
OpenAlexW4313327419

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.