Evidence map›Paper›PMID 36109157›Full record

ArticleJournal of clinical pathology2023

Using Systemised Nomenclature of Medicine (SNOMED) codes to select digital pathology whole slide images for long-term archiving.

Mahmoud Ali, Harriet Evans, Peter Whitney, Fayyaz Minhas, David R J Snead

Abstract read
In one paragraph

Article in Journal of clinical pathology, 2023. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Cutting-edge technology and automation in the pathology laboratory.Virchows Archiv : an international journal of pathology · 2024
    Review
  3. Article
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

5 authors.

Mahmoud AliHistopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.ORCID http://orcid.org/0000-0001-7722-6196
Harriet EvansHistopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
Peter WhitneyHistopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
Fayyaz MinhasDepartment of Computer Science, University of Warwick, Coventry, West Midlands, UK.
David R J SneadHistopathology Department, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK david.snead@uhcw.nhs.uk.ORCID http://orcid.org/0000-0002-0766-9650

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The archiving of whole slide images represents a hurdle to digital pathology implementation largely because of the amount of data generated. The retention of glass slides is currently recommended for a minimum of 10 years, but it is for individual departments to determine how digital images are archived and for how long. In a retrospective study, we examined the combination of Systemised Nomenclature of Medicine (SNOMED) codes allocated to cases reported between July 2011 and December 2015 and recalled more than 12 months after diagnosis in comparison to non-recalled cases.Our results show that 0.2% of cases are recalled after 12 months, and SNOMED code combinations can be used to identify which cases are likely to be recalled and which are not. This approach could reduce the number of cases archived by 62% and still ensure all cases likely to be recalled remain in the archive.

Indexed as

Systematized Nomenclature of MedicineHumansRetrospective Studiesmedical informaticsmedical informatics computingmedical laboratory science

Identifiers

PMID36109157
PMCPMC10176345

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.