Evidence map›Paper›PMID 38744690›Full record

ArticleVirchows Archiv : an international journal of pathology2024

Digital pathology structure and deployment in Veneto: a proof-of-concept study.

Albino Eccher, Stefano Marletta, Marta Sbaraglia, Angela Guerriero, Mattia Rossi, Giovanni Gambaro, Aldo Scarpa, Angelo Paolo Dei Tos

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In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Albino EccherDepartment of Medical and Sciences for Children and Adults, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy.
Stefano MarlettaDepartment of Diagnostic and Public Health, Section of Pathology, University of Verona, P.Leee L.A. Scuro N. 10, 37134, Verona, Italy. stefano.marletta92@gmail.com.ORCID http://orcid.org/0000-0001-7881-8767
Marta SbaragliaSurgical Pathology and Cytopathology Unit, Department of Medicine-DIMED, University of Padua School of Medicine, Padua, Italy.
Angela GuerrieroSurgical Pathology and Cytopathology Unit, Department of Medicine-DIMED, University of Padua School of Medicine, Padua, Italy.
Mattia RossiDivision of Nephrology, Department of Medicine, University of Verona, Verona, Italy.
Giovanni GambaroDivision of Nephrology, Department of Medicine, University of Verona, Verona, Italy.
Aldo ScarpaDepartment of Diagnostic and Public Health, Section of Pathology, University of Verona, P.Leee L.A. Scuro N. 10, 37134, Verona, Italy.
Angelo Paolo Dei TosSurgical Pathology and Cytopathology Unit, Department of Medicine-DIMED, University of Padua School of Medicine, Padua, Italy.

Funding

European Union - NextGenerationEU through the Italian Ministry of University and Research under PNRR M4C2-I1.3 Project PE_00000019 "HEAL ITALIA" CUP: B33C22001030006
6 · The paper itself

Abstract

Nowadays pathology laboratories are worldwide facing a digital revolution, with an increasing number of institutions adopting digital pathology (DP) and whole slide imaging solutions. Despite indeed providing novel and helpful advantages, embracing a whole DP workflow is still challenging, especially for wide healthcare networks. The Azienda Zero of the Veneto Italian region has begun a process of a fully digital transformation of an integrated network of 12 hospitals producing nearly 3 million slides per year. In the present article, we describe the planning stages and the operative phases needed to support such a disruptive transition, along with the initial preliminary results emerging from the project. The ultimate goal of the DP program in the Veneto Italian region is to improve patients' clinical care through a safe and standardized process, encompassing a total digital management of pathology samples, easy file sharing with experienced colleagues, and automatic support by artificial intelligence tools.

Indexed as

Proof of Concept StudyArtificial IntelligenceHumansImage Interpretation, Computer-AssistedItalyPathology, ClinicalTelepathologyWorkflowArtificial intelligenceAutomatizationDigital pathologyHealthcare networksStandardizationWhole slide imaging

Identifiers

PMID38744690
PMCPMC11415458

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Registered trials

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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.