Evidence map›Paper›PMID 33263236›Full record

ArticleJournal of veterinary science2020

Radiography and ct features of atherosclerosis in two miniature schnauzer dogs.

Eunji Lee, Hyun Woo Kim, Hyeona Bae, DoHyeon Yu, Jihye Choi

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of veterinary science, 2020. 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, top 78% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

5 authors at 2 institutions in 1 country.

Eunji Lee *College of Veterinary Medicine, Chonnam National University, Gwangju 61186, Korea.ORCID https://orcid.org/0000-0003-2324-0755
Hyun Woo Kim *College of Veterinary Medicine, Chonnam National University, Gwangju 61186, Korea.ORCID https://orcid.org/0000-0002-4692-3017
Hyeona BaeCollege of Veterinary Medicine, Gyeongsang National University, Jinju 52828, Korea.ORCID https://orcid.org/0000-0002-2888-5782
DoHyeon YuCollege of Veterinary Medicine, Gyeongsang National University, Jinju 52828, Korea. yudh@gnu.ac.kr.ORCID https://orcid.org/0000-0001-7645-6926
Jihye ChoiCollege of Veterinary Medicine, Chonnam National University, Gwangju 61186, Korea. imsono@jnu.ac.kr.ORCID https://orcid.org/0000-0002-1258-7158
Chonnam National University · KRGyeongsang National University · KR

Funding

Animal Medical Institute of Chonnam National UniversityNational Research Foundation of Korea NRF-2018R1A2B6006775National Research Foundation of Korea NRF-2020R1C1C1008675
6 · The paper itself

Abstract

Two miniature Schnauzer dogs with chronic pancreatitis were investigated. Both dogs showed systemic hypertension and increased concentrations of triglycerides and C-reactive protein. Abdominal radiography revealed cylindrical calcification in the retroperitoneum, and computed tomography (CT) showed extensive calcification of the abdominal and peripheral arteries in both dogs. Metastases and other dystrophic conditions that can cause arterial calcification were excluded based on the laboratory tests, and the dogs were diagnosed with atherosclerosis ante mortem. Atherosclerosis should be considered when extensive arterial calcification is observed on abdominal radiography or CT in miniature Schnauzers.

Indexed as

AnimalsAtherosclerosisChronic DiseaseDog DiseasesDogsFemaleMalePancreatitisRadiography, AbdominalTomography, X-Ray ComputedArterial calcificationcase reportcomputed tomography C-reactive proteinhypertension

Identifiers

PMID33263236
PMCPMC7710456
OpenAlexW3095740031

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.