Evidence map›Paper›PMID 35136671›Full record

ArticleJournal of pathology informatics2022

A Feasibility Study of Multisite Networked Digital Pathology Reporting in England.

Frederick George Mayall, Hanne-Brit Smethurst, Leonid Semkin, Trupti Mandalia, Muhammed Sohail, Rob Hadden, Leigh Biddlestone

Open access · goldAbstract read
In one paragraph

Article in Journal of pathology informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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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

7 authors at 5 institutions in 1 country.

Frederick George MayallDepartment of Cellular Pathology, Musgrove Park Hospital, Taunton, UK.
Hanne-Brit SmethurstHistology Department, The Royal Cornwall Hospital, Truro, UK.
Leonid SemkinDepartment of Cellular Pathology, The Royal Devon and Exeter Hospital, Exeter, UK.
Trupti MandaliaDepartment of Cellular Pathology, The Royal Devon and Exeter Hospital, Exeter, UK.
Muhammed SohailDepartment of Cellular Pathology, University Hospitals Bristol, Bristol, UK.
Rob HaddenDepartment of Cellular and Anatomical Pathology, Derriford Hospital, Plymouth, UK.
Leigh BiddlestoneDepartment of Cellular Pathology, Royal United Hospital, Avon, UK.
Royal Devon and Exeter Hospital · GBDerriford Hospital · GBMusgrove Park Hospital · GBRoyal Cornwall Hospital · GBRoyal United Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe objective of the project was to evaluate the feasibility of introducing a single-networked digital histopathology reporting platform in the Southwest Peninsula region of England by allowing pathologists to experience the technology and recording their perceptions. This information was then used in planning future service development. The project was funded by the National Health Service (NHS) Peninsula Cancer Alliance and took place in 2020 during the COVID-19 pandemic. MATERIALS AND

methodsDigital slides of 500 cases from Taunton were reported remotely in Truro, Plymouth, Exeter, Bristol, or Bath by using a single remote reporting platform located on the secure Health and Social Care Network (HSCN) that links NHS sites. These were mainly small gastrointestinal, skin, and gynecological specimens. The digital diagnoses were compared with the diagnoses issued on reporting the glass slides. At the end of the project, the pathologists completed a Google Forms questionnaire of their perceptions of digital pathology. The results were presented at a meeting with the funder and discussed.

resultsFrom the 500 cases there were nine cases of significant diagnostic discrepancy, seven of which involved the misrecognition of

conclusionsOverall, the pathologists developed a positive perception of digital pathology and wished to continue using it.

Indexed as

Cancer diagnosisdigital pathologyinformation technologysoftware

Identifiers

PMID35136671
PMCPMC8794026
OpenAlexW4206548493

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.