Evidence map›Paper›PMID 40170944›Full record

ArticleThe Canadian veterinary journal = La revue veterinaire canadienne2025

Pulmonary vein stenosis secondary to a mediastinal mass in a cat.

Jeongyun Jeong, Kyungjin Yoon, Jupill Chang, Woo Joo Choi, Jae-Eun Hyun, Kidong Eom, Jaehwan Kim

Abstract readCase Reports
In one paragraph

Article in The Canadian veterinary journal = La revue veterinaire canadienne, 2025. 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

7 authors.

Jeongyun JeongDepartment of Veterinary Medical Imaging (Jeong, Yoon, Eom, Kim) and Department of Veterinary Internal Medicine (Hyun), College of Veterinary Medicine, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea; SD Animal Medical Center, Wangsimni-ro, Jung-gu, Seoul 04580, Republic of Korea (Chang, Choi).
Kyungjin YoonDepartment of Veterinary Medical Imaging (Jeong, Yoon, Eom, Kim) and Department of Veterinary Internal Medicine (Hyun), College of Veterinary Medicine, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea; SD Animal Medical Center, Wangsimni-ro, Jung-gu, Seoul 04580, Republic of Korea (Chang, Choi).
Jupill ChangDepartment of Veterinary Medical Imaging (Jeong, Yoon, Eom, Kim) and Department of Veterinary Internal Medicine (Hyun), College of Veterinary Medicine, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea; SD Animal Medical Center, Wangsimni-ro, Jung-gu, Seoul 04580, Republic of Korea (Chang, Choi).
Woo Joo ChoiDepartment of Veterinary Medical Imaging (Jeong, Yoon, Eom, Kim) and Department of Veterinary Internal Medicine (Hyun), College of Veterinary Medicine, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea; SD Animal Medical Center, Wangsimni-ro, Jung-gu, Seoul 04580, Republic of Korea (Chang, Choi).
Jae-Eun HyunDepartment of Veterinary Medical Imaging (Jeong, Yoon, Eom, Kim) and Department of Veterinary Internal Medicine (Hyun), College of Veterinary Medicine, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea; SD Animal Medical Center, Wangsimni-ro, Jung-gu, Seoul 04580, Republic of Korea (Chang, Choi).
Kidong EomDepartment of Veterinary Medical Imaging (Jeong, Yoon, Eom, Kim) and Department of Veterinary Internal Medicine (Hyun), College of Veterinary Medicine, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea; SD Animal Medical Center, Wangsimni-ro, Jung-gu, Seoul 04580, Republic of Korea (Chang, Choi).
Jaehwan KimDepartment of Veterinary Medical Imaging (Jeong, Yoon, Eom, Kim) and Department of Veterinary Internal Medicine (Hyun), College of Veterinary Medicine, Konkuk University, 120 Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea; SD Animal Medical Center, Wangsimni-ro, Jung-gu, Seoul 04580, Republic of Korea (Chang, Choi).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This report describes the case of a 5-year-old spayed female munchkin cat that was presented with respiratory distress. Thoracic radiography revealed pleural effusion with a diffuse interstitial lung pattern. Echocardiography identified a mass compressing the left atrium, accompanied by a turbulent jet-like flow from the pulmonary veins, with a velocity of 1.6 m/s. Computed tomography revealed a diffuse, homogenous mediastinal mass compressing the dorsal border of the left atrium and surrounding the ascending aorta and the pulmonary arteries and veins. The distal caudal pulmonary veins were dilated, indicating pulmonary vein stenosis secondary to the mediastinal mass. The caudodorsal ostium was stenotic due to the mediastinal mass compression. In addition, bilateral adrenomegaly and multifocal masses were evident in the kidneys, stomach, and cecum. Lymphoma was diagnosed in the cecal mass using cytology and PCR for antigen receptor rearrangements (PARR). This case describes clinically significant acquired pulmonary vein stenosis secondary to a mediastinal mass, which was likely responsible for the respiratory distress and pleural effusion. Key clinical message: To our knowledge, this is the first report of acquired pulmonary vein stenosis secondary to a mediastinal mass in a cat. Computed tomography could be helpful in confirming pulmonary vein stenosis and identifying its etiology.

Indexed as

Cat DiseasesLymphomaMediastinal NeoplasmsStenosis, Pulmonary VeinAnimalsCatsFemaleTomography, X-Ray Computed

Identifiers

PMID40170944
PMCPMC11932428

What OpenQuestion holds

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Read underepoch 390

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.