Evidence map›Paper›PMID 35878384›Full record

ArticleVeterinary sciences2022

Evaluation of a Probability-Based Predictive Tool on Pathologist Agreement Using Urinary Bladder as a Pilot Tissue.

Emily Jones, Solomon Woldeyohannes, Fernanda Castillo-Alcala, Brandon N Lillie, Mee-Ja M Sula, Helen Owen, John Alawneh, Rachel Allavena

Abstract read
In one paragraph

Article in Veterinary sciences, 2022. 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
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

8 authors.

Emily JonesSchool of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia.ORCID 0000-0001-6462-1234
Solomon WoldeyohannesSchool of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia.ORCID 0000-0003-2431-2730
Fernanda Castillo-AlcalaSchool of Veterinary Science, Massey University, Palmerston North 4100, New Zealand.ORCID 0000-0002-0434-9096
Brandon N LillieOntario Veterinary College, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0002-3116-9111
Mee-Ja M SulaCharles River Laboratories, 54943 N. Main Street, Mattawan, MI 49071, USA.
Helen OwenQML Vetnostics, 11 Riverview Place, Metroplex on Gateway, Murarrie, QLD 4172, Australia.
John AlawnehBiosecurity New Zealand, Ministry for Primary Industries, Wellington 6140, New Zealand.ORCID 0000-0003-4314-9123
Rachel AllavenaSchool of Veterinary Science, The University of Queensland, Gatton, QLD 4343, Australia.ORCID 0000-0001-5126-7125

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inter-pathologist variation is widely recognized across human and veterinary pathology and is often compounded by missing animal or clinical information on pathology submission forms. Variation in pathologist threshold levels of resident inflammatory cells in the tissue of interest can further decrease inter-pathologist agreement. This study applied a predictive modeling tool to bladder histology slides that were assessed by four pathologists: first without animal and clinical information, then with this information, and finally using the predictive tool. All three assessments were performed twice, using digital whole-slide images (WSI) and then glass slides. Results showed marked variation in pathologists' interpretation of bladder slides, with kappa agreement values of 7-37% without any animal or clinical information, 23-37% with animal signalment and history, and 31-42% when our predictive tool was applied, for digital WSI and glass slides. The concurrence of test pathologists to the reference diagnosis was 60% overall. This study provides a starting point for the use of predictive modeling in standardizing pathologist agreement in veterinary pathology. It also highlights the importance of high-quality whole-slide imaging to limit the effect of digitization on inter-pathologist agreement and the benefit of continued standardization of tissue assessment in veterinary pathology.

Indexed as

bladder diseasecanineconcurrencefelineglass slidesinter-pathologist agreementpredictive modelingveterinary pathologywhole-slide images

Identifiers

PMID35878384
PMCPMC9323256

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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.