Evidence map›Paper›PMID 30847975›Full record

ArticleJournal of veterinary internal medicine2019

Ability of ultrasonography to predict the presence and location of histologic lesions in the small intestine of cats.

Talia Guttin, Audra Walsh, Amy C Durham, Jennifer A Reetz, Dorothy C Brown, Mark P Rondeau

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary internal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
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  5. Fecal S100A12 concentrations in cats with chronic enteropathies.Journal of feline medicine and surgery · 2023
    Article
  6. Observational
  7. Intra- and interobserver assessments of intestinal wall thickness and segmentations from transverse sections of feline abdominal ultrasound images.Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association · 2023
    Article
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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 at 4 institutions in 2 countries.

Talia GuttinDepartment of Small Animal Medicine and Surgery, St. George's University School of Veterinary Medicine, Grenada, West Indies.ORCID https://orcid.org/0000-0002-4734-4623
Audra WalshVetPath Laboratories, Perth, Western Australia, Australia.
Amy C DurhamDepartment of Pathobiology, University of Pennsylvania School of Veterinary Medicine, Philadelphia, Pennsylvania.
Jennifer A ReetzDepartment of Clinical Sciences and Advanced Medicine, University of Pennsylvania School of Veterinary Medicine, Philadelphia, Pennsylvania.
Dorothy C BrownMartingale Consulting, Media, Pennsylvania.
Mark P RondeauDepartment of Clinical Sciences and Advanced Medicine, University of Pennsylvania School of Veterinary Medicine, Philadelphia, Pennsylvania.ORCID https://orcid.org/0000-0002-1703-152X
University of Pennsylvania · USMartingale Research (United States) · USSt. George's University · GDWestern Laboratories (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiagnosis of infiltrative small intestinal (SI) disease in cats is challenging, and debate continues regarding optimal biopsy techniques. Ultrasonography may facilitate selection of biopsy type and location. HYPOTHESIS/

objectivesAssess ability of ultrasonography to predict histologic lesions by SI segment and tissue layer. ANIMALS: One-hundred sixty-nine cats that had abdominal ultrasonography and full-thickness SI biopsies performed.

methodsUltrasonographic images and full-thickness biopsy samples were retrospectively reviewed, and each SI wall layer evaluated for lesions according to published standards.

resultsUltrasonographic SI lesions were present in 132 cats (63 duodenum; 115 jejunum; 71 ileum). Samples were obtained at laparotomy (60) or necropsy (109). Ultrasonographic abnormalities had high positive predictive value (PPV) for histologic lesions (duodenum, 82.0%; 95% confidence interval [CI], 68.6-91.4; jejunum, 91.0%; 95% CI, 81.5-96.6; ileum, 88.1%; 95% CI, 74.4-96.0), but poor negative predictive value (duodenum, 27.1%; 95% CI, 17.2-39.1; jejunum, 27.3%; 95% CI, 10.7-50.2; ileum, 40.4%; 95% CI, 26.4-55.7). The ability of ultrasonography to predict histologic lesions in this population, which had high disease prevalence (SI histologic lesions in 78.1% of cats) was high for mucosal lesions (PPV, 72.7%-100%) but low for submucosal or muscularis lesions (PPV, 18.9%-57.1%). CONCLUSIONS AND CLINICAL IMPORTANCE: In a population with high disease prevalence, most cats with SI mucosal ultrasonographic lesions will have mucosal histologic lesions. Small intestinal submucosal and muscularis ultrasonographic lesions are not predictive of histologic disease in those layers, suggesting that full-thickness biopsy may not be essential in these cats. Ultrasonography may help guide decisions about biopsy type in individual cats.

Indexed as

AnimalsBiopsyCat DiseasesCatsFemaleIntestinal MucosaIntestine, SmallMaleRetrospective StudiesUltrasonographybiopsyendoscopyenteropathyhistopathology

Identifiers

PMID30847975
PMCPMC6524111
OpenAlexW2921075126

What OpenQuestion holds

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LicenceCC BY-NC
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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.