Evidence map›Paper›PMID 39735590›Full record

ArticleFrontiers in veterinary science2024

Effects of corn oil ingestion on the intestinal mucosa of normal dogs.

Su-Jin An, Young Joo Kim, Il-Hwa Hong, Dong-In Jung

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 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.

Su-Jin AnInstitute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University, Jinju, Republic of Korea.
Young Joo KimCollege of Veterinary Medicine, Western University of Health Sciences, Pomona, CA, United States.
Il-Hwa HongInstitute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University, Jinju, Republic of Korea.
Dong-In JungInstitute of Animal Medicine, College of Veterinary Medicine, Gyeongsang National University, Jinju, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: We assessed corn oil's oral effectiveness in detecting small bowel changes in healthy dogs through ultrasonography, endoscopy, and histopathology. We hypothesize that corn oil ingestion will not significantly increase the visibility of lymphatics and lacteals in healthy dogs. Methods: Five healthy male beagles were studied under institutional guidelines. The small intestine's mucosal changes were observed post corn oil consumption (0.5 mL/kg) at various time intervals using ultrasonography, endoscopy, and histopathology. Ultrasonography was employed in real-time, and mucosal echogenicity scores were assigned at multiple time points. Endoscopic and capsule endoscopic examinations were conducted weekly at different intervals post oil consumption, with biopsy samples taken from the duodenal and ileal mucosa for histopathological evaluations. Results: Ultrasonographic evaluations showed no pathological conditions in any dog. While conventional endoscopic evaluations reflected normal variation, capsule endoscopy revealed significant duodenal and jejunal mucosal changes 3 h post-ingestion, but not in the ileum. Histopathological evaluation indicated a transient rise in the dilation of ileum villi 3 h post-ingestion, reducing by 12 h. Conclusion: In conclusion, this study demonstrated that the observed physiological changes in the small intestinal mucosa, including lymphatic dilation, hyperechoic speckles, and stripes, were within the normal range after oil ingestion in healthy Beagle dogs.

Indexed as

capsule endoscopydogendoscopyenteropathylymphangiectasiaoil

Identifiers

PMID39735590
PMCPMC11674250

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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.