Evidence map›Paper›PMID 40688393›Full record

ArticleJournal of pathology informatics2025

Development of a national pathology training system using digital pathology and SNOMED-CT.

Clare McGenity, Alyn Cratchley, Jocelyn Aldridge, Craig Sayers, W Scott Campbell, Rajesh C Dash, Adrienne M Flanagan, Neil Sebire, Alexander Wright, Waseem Akhtar and 1 more

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2025. 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

11 authors.

Clare McGenityLeeds Teaching Hospitals NHS Trust, Leeds, UK.
Alyn CratchleyLeeds Teaching Hospitals NHS Trust, Leeds, UK.
Jocelyn AldridgeLeeds Teaching Hospitals NHS Trust, Leeds, UK.
Craig SayersDepartment of Histopathology, Mid Yorkshire NHS Foundation Trust, Wakefield, UK.
W Scott CampbellUniversity of Nebraska Medical Center, Department of Pathology, Microbiology, and Immunology, Omaha, NE, USA.
Rajesh C DashDepartment of Pathology, Duke University Health System, Durham, NC, USA.
Adrienne M FlanaganDepartment of Histopathology, Royal National Orthopaedic Hospital, Middlesex, UK.
Neil SebireDepartment of Histopathology, National Institute for Health and Care Research, Great Ormond Street Hospital Biomedical Research Center and UCL, London, UK.
Alexander WrightLeeds Teaching Hospitals NHS Trust, Leeds, UK.
Waseem AkhtarLeeds Teaching Hospitals NHS Trust, Leeds, UK.
Darren TreanorLeeds Teaching Hospitals NHS Trust, Leeds, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Digital pathology is an important resource in modern pathology education, with many examples of large databases of educational cases now available online. However, there remains a lack of standardization in retrieval and categorization of cases for training within and between institutions. Methods: Over 1600 teaching terms applicable to histopathology were developed and mapped to corresponding SNOMED CT terms to create a large directory of teaching cases. This was then integrated as a pre-defined list into a clinical PACS system for a national digital pathology project covering multiple hospitals and pathology training programs. Results: This resource allows easy allocation of teaching term labels to cases with educational value. A substantial catalog of educational cases has been generated already, with ongoing efforts to expand this with cases from routine clinical practice. The catalog is fully searchable by term for use in training and examinations. Conclusions: A large directory of digital pathology teaching cases was developed with associated corresponding SNOMED CT terms. The directory of terms will be shared with other healthcare providers to expand its use and utility.

Indexed as

Digital pathologyEducationOntologySNOMED CTTeaching

Identifiers

PMID40688393
PMCPMC12273581

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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.