Evidence map›Paper›PMID 34815837›Full record

ArticleVeterinary research forum : an international quarterly journal2021

Clinical, ultrasonographic and histopathological diagnosis of ceruminous gland tumors in cats.

Ahmed Ismael Abdelgalil, Faten Fathy Mohammed

Open access · greenAbstract read
In one paragraph

Article in Veterinary research forum : an international quarterly journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Ceruminous Gland Tumors in Canines and Felines: A Scoping Review.Animals : an open access journal from MDPI · 2025
    Review
  2. Computed tomographic findings in 25 cats with ear canal neoplasia.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2025
    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

2 authors at 1 institution in 1 country.

Ahmed Ismael AbdelgalilDepartment of Surgery, Anesthesiology and Radiology, Faculty of Veterinary Medicine, Cairo University, Giza, Egypt.
Faten Fathy MohammedDepartment of Pathology, Faculty of Veterinary Medicine, Cairo University, Giza, Egypt.
Cairo University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ceruminous gland tumor is the most common tumor of the ear canal in cats. Otoscopic examination of the ear tumor is so difficult due to narrowing of the external ear canal. The present study aimed to investigate clinical, ultrasonographic and histopathological characteristics of feline ceruminous gland neoplasm in cats. Ten cats with unilateral ear canal swelling were subjected to thorough physical and clinical investigations. Ultrasound of the ear canal and parotid gland was performed using 8.00 MHz linear probe. Tissue specimens were collected after surgical excision (total ear canal ablation) for histopathological examination. Clinical examination of the ceruminous tumors revealed firm pinkish mass obliterated the ear canal with purulent or bloody aural discharge. Ultrasound examination of the ear tumor was helpful in detecting the size, shape, echogenicity and extension of the tumors to the surrounding structures as well as the nature of the feline ceruminous tumor. Histopathological examination was the main diagnostic tool for detecting the nature of the ceruminous neoplasms.

Indexed as

Ceruminous glandEarHistopathologyTumorUltrasonography

Identifiers

PMID34815837
PMCPMC8576157
OpenAlexW3204851796

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.