Evidence map›Paper›PMID 38891700›Full record

ArticleAnimals : an open access journal from MDPI2024

Description and Characterization of Different Types of Lymphoma in Cats in Hong Kong.

Angel Almendros, Long-Ki Chan, Rodrigo Dos Santos Horta, Omid Nekouei, Fraser Hill, Antonio Giuliano

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Mapping Feline Oncology in Portugal: A National Characterization.Animals : an open access journal from MDPI · 2026
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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

6 authors.

Angel AlmendrosDepartment of Veterinary Clinical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong.ORCID 0000-0002-2441-7850
Long-Ki ChanDepartment of Veterinary Clinical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong.
Rodrigo Dos Santos HortaDepartment of Veterinary Clinic and Surgery, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil.ORCID 0000-0002-9885-4498
Omid NekoueiDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong.ORCID 0000-0002-2427-4159
Fraser HillVDL Veterinary Diagnostic Laboratory, City University of Hong Kong, Hong Kong.ORCID 0000-0002-0338-1895
Antonio GiulianoDepartment of Veterinary Clinical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong.ORCID 0000-0003-3993-038X

Funding

City University of Hong Kong 9610593
6 · The paper itself

Abstract

This study aimed to characterize and describe the different lymphoma types and anatomical forms in cats in Hong Kong. The clinical and histopathological data of cats diagnosed with lymphoma by cytology and/or histopathology were collected from a large diagnostic laboratory in Hong Kong. In total, 444 cats were diagnosed with lymphoma over four years (2019-2022). Like other countries where there is a low prevalence of FeLV infection, the predominant form of lymphoma was gastrointestinal (abdominal). Nasopharyngeal and peripheral nodal lymphoma were the second and third most common forms of lymphoma. The large cell/high-grade lymphoma type was much more common than the low-grade/small cell lymphoma in the study population. Domestic short hair was the most commonly affected breed in our study (

Indexed as

anatomical locationcytologyepidemiologyfeline lymphomahistopathologyHong Kongprevalence

Identifiers

PMID38891700
PMCPMC11171185

What OpenQuestion holds

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Registered trials

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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.