Evidence map›Paper›PMID 37987815›Full record

ReviewPathologie (Heidelberg, Germany)2023

National digital pathology projects in Switzerland: A 2023 update.

Rainer Grobholz, Andrew Janowczyk, Ana Leni Frei, Mario Kreutzfeldt, Viktor H Koelzer, Inti Zlobec

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Pathologie (Heidelberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Rainer GrobholzMedical Faculty, University of Zurich, Zurich, Switzerland. rainer.grobholz@ksa.ch.
Andrew JanowczykDepartment of Biomedical Engineering, Emory University, Atlanta, GA, USA.
Ana Leni FreiInstitute for Tissue Medicine and Pathology, University Bern, Bern, Switzerland.
Mario KreutzfeldtDepartment of Pathology and Immunology, Division of Clinical Pathology, University & University Hospitals of Geneva, Geneva, Switzerland.
Viktor H KoelzerDepartment of Pathology und Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Inti ZlobecInstitute for Tissue Medicine and Pathology, University Bern, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Swiss Digital Pathology Consortium (SDiPath) was founded in 2018 as a working group of the Swiss Society for Pathology with the aim of networking, training, and promoting digital pathology (DP) at a national level. Since then, two national surveys have been carried out on the level of knowledge, dissemination, use, and needs in DP, which have resulted in clear fields of action. In addition to organizing symposia and workshops, national guidelines were drawn up and an initiative for a national DP platform actively codesigned. With the growing use of digital image processing and artificial intelligence tools, continuous monitoring, evaluation, and exchange of experiences will be pursued, along with best practices.

Indexed as

Artificial IntelligenceImage Processing, Computer-AssistedSwitzerlandDigital image analysisDigital pathologyNational GuidelinesNational strategiesNational Surveys

Identifiers

PMID37987815
PMCPMC10739407

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.