Evidence map›Paper›PMID 37656442›Full record

ArticleVeterinary medicine and science2023

Metastatic extradural melanoma of the lumbar spine in a cat.

Sabrina Fert, Pablo River, Laura Bondonny, Laurent Cauzinille

Open access · goldAbstract readCase Reports
In one paragraph

Article in Veterinary medicine and science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 1 institution in 1 country.

Sabrina FertDepartment of Neurology, Veterinary Hospital Center Frégis, Gentilly, France.ORCID 0000-0002-2396-1301
Pablo RiverDepartment of Surgery, Veterinary Hospital Center Onlyvet, Saint Priest, France.
Laura BondonnyDepartment of Surgery, Veterinary Hospital Center Onlyvet, Saint Priest, France.
Laurent CauzinilleDepartment of Neurology, Veterinary Hospital Center Frégis, Gentilly, France.
Centre Hospitalier Vétérinaire Frégis · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 7-year-old neutered male Domestic shorthair cat, with a 1.5-year history of left eye enucleation secondary to a diffuse iris malignant melanoma, was evaluated for progressive onset of pelvic limb paresis and ataxia with severe thoracolumbar hyperaesthesia and dysorexia. Neurological examination localised a lesion to the T3-L3 spinal cord segments. Magnetic resonance imaging of the thoracolumbar spine showed a well-defined extradural T1-weighted hyperintense non-contrast-enhancing mass, initially suggesting a potential haemorrhagic component. Exploratory surgery revealed a brownish extradural lumbar mass. Histologic examination concluded to a melanoma, most probably metastatic given the animal's previous medical history. This report highlights the importance of collecting a complete medical history, which can help in obtaining a preliminary differential diagnosis in cats with clinical signs of myelopathy. Although the location of this metastasis is particularly unusual both in human and veterinary medicine, making optimal treatment challenging for neurosurgeon, our increased understanding of immune and tumour cell biology during the past decade is likely to improve the future treatments of feline melanoma and its metastases.

Indexed as

Cat DiseasesMelanomaAnimalsCatsHumansLumbar VertebraeMagnetic Resonance ImagingMaleextraduralfelineimmune cell biologylumbar spinemelanomametastatic

Identifiers

PMID37656442
PMCPMC10650352
OpenAlexW4386347808

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.