Evidence map›Paper›PMID 38014739›Full record

ArticleJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc2024

Multicenter evaluation of the Vetscan Imagyst system using Ocus 40 and EasyScan One scanners to detect gastrointestinal parasites in feces of dogs and cats.

Yoko Nagamori, Ruth Scimeca, Ruth Hall-Sedlak, Byron Blagburn, Lindsay A Starkey, Dwight D Bowman, Araceli Lucio-Forster, Susan E Little, Travis Cree, Michael Loenser and 4 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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

14 authors at 4 institutions in 1 country.

Yoko NagamoriZoetis, Global Diagnostics, Parsippany, NJ, USA.ORCID 0000-0002-9515-3215
Ruth ScimecaOklahoma Animal Disease Diagnostic Laboratory, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, USA.
Ruth Hall-SedlakZoetis, Global Diagnostics, Parsippany, NJ, USA.
Byron BlagburnDepartment of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL, USA.
Lindsay A StarkeyDepartment of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL, USA.
Dwight D BowmanDepartment of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA.
Araceli Lucio-ForsterDepartment of Microbiology and Immunology, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA.
Susan E LittleDepartment of Veterinary Pathobiology, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, USA.
Travis CreeZoetis, Global Diagnostics, Parsippany, NJ, USA.
Michael LoenserZoetis, Global Diagnostics, Parsippany, NJ, USA.
Benjamin S LarsonTechcyte, Lindon, UT, USA.
Cory PennZoetis, Global Diagnostics, Parsippany, NJ, USA.
Austin RhodesZoetis, Global Diagnostics, Parsippany, NJ, USA.
Richard GoldsteinZoetis, Global Diagnostics, Parsippany, NJ, USA.
Zoetis (United States) · USAuburn University · USCornell University · USOklahoma State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Vetscan Imagyst system (Zoetis) is a novel, artificial intelligence-driven detection tool that can assist veterinarians in the identification of enteric parasites in dogs and cats. This system consists of a sample preparation device, an automated digital microscope scanner, and a deep-learning algorithm. The EasyScan One scanner (Motic) has had good diagnostic performance compared with manual examinations by experts; however, there are drawbacks when used in veterinary practices in which space for equipment is often limited. To improve the usability of this system, we evaluated an additional scanner, the Ocus 40 (Grundium). Our objectives were to 1) qualitatively evaluate the performance of the Vetscan Imagyst system with the Ocus 40 scanner for identifying

Indexed as

Cat DiseasesDog DiseasesIntestinal Diseases, ParasiticParasitesAnimalsArtificial IntelligenceCatsDogsFecesPrevalenceartificial intelligencecatsdetectiondogsintestinal parasitesparasitology

Identifiers

PMID38014739
PMCPMC10734580
OpenAlexW4389087227

What OpenQuestion holds

Textmetadata
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.