Evidence map›Paper›PMID 39811569›Full record

ArticleBrazilian journal of veterinary medicine2024

Applicability of computed tomography and rhinoscopy in the diagnosis and monitoring of the treatment of epistaxis in a dog.

Matheus Daudt Matos, Flávia Silva Raja Gabaglia Toledo, Luana Menezes Rocha, Alexandre José Rodrigues Bendas

Abstract readCase Reports
In one paragraph

Article in Brazilian journal of veterinary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Matheus Daudt MatosVeterinarian, MSc. Universidade Estácio de Sá. Campus Vargem pequena, Rio de Janeiro, RJ, Brazil.ORCID 0009-0005-6778-3550
Flávia Silva Raja Gabaglia ToledoVeterinarian, MSc. Intergávea Rio de Janeiro, Rio de Janeiro, RJ, Brazil.ORCID 0009-0001-6264-1327
Luana Menezes RochaVeterinarian, TeleLaudos Veterinários, Belo Horizonte, MG, Brazil.ORCID 0009-0007-6550-8998
Alexandre José Rodrigues BendasVeterinarian, DSc. Departamento de medicina e cirurgia veterinária, Instituto de Veterinária, Universidade Federal Rural do Rio de Janeiro. Seropédica, RJ, Brazil.ORCID 0000-0003-4320-9923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epistaxis is defined as bleeding from the nasal cavity and can be related to systemic causes leading to coagulation disorders, most commonly hemoparasitosis, or to localized changes in the nasal cavity itself (e.g., intranasal neoplasms). Transmissible venereal tumors (TVT) are malignant round cell neoplasms characterized by an anomalous proliferation of tumor cells disseminated mainly by direct contact between animals. Although transmitted sexually, transmission through contact with mucous membranes and skin tissue can also occur, including the nasal cavity. Although rare, it can have significant clinical implications because it is difficult to diagnose. The diagnosis is made by physical examination, imaging tests (computed tomography and rhinoscopy), and histopathological analysis, which is the gold standard. Treatment is based on the use of chemotherapeutic agents, with vincristine as the drug of choice. This study reported a case of intranasal TVT in a 4-year-old French bulldog and addressed its clinical characteristics, diagnosis, and treatment. It also reported the importance of early recognition of the condition and changes in imaging tests to better understand and manage this atypical presentation.

Indexed as

endoscopyepistaxisimageneoplasia

Identifiers

PMID39811569
PMCPMC11731857

What OpenQuestion holds

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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.