Evidence map›Paper›PMID 40019543›Full record

ArticleVirchows Archiv : an international journal of pathology2026

A bottom-up initiated digital external quality assessment scheme for the state-of-the-art pathology in Sweden: reduced variability between pathology departments.

Gunilla Rask, Helena Olofsson, Annette Bauer, Anna Bodén, Johannes van Brakel, Eugenia Colón-Cervantes, Anna Ehinger, Anikó Kovács, Åsa Rundgren-Sellei, Johan Hartman and 5 more

Abstract read
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

15 authors.

Gunilla RaskDepartment of Medical Biosciences/Pathology, Umeå University, Umeå, Sweden.
Helena OlofssonDepartment of Clinical Pathology, Västerås Hospital, Västerås, Sweden.
Annette BauerPathology & Cytology Dalarna, County Hospital Dalarna, Falun, Sweden.
Anna BodénDepartment of Clinical Pathology, Linköping University, Linköping, Sweden, and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Johannes van BrakelDepartment of Pathology, Skåne University Hospital, Malmö, Sweden.
Eugenia Colón-CervantesDepartment of Clinical and Surgical Pathology, Unilabs, Stockholm, Sweden.
Anna EhingerDepartment of Genetics, Pathology and Molecular Diagnostics, Laboratory Medicine, Region Skane, Lund University, Lund, Sweden.
Anikó KovácsDepartment of Clinical Pathology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Åsa Rundgren-SelleiDepartment of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden.
Johan HartmanDepartment of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden.
Josefin ÅgrenEqualis AB, Uppsala, Sweden.
Eva Darai-RamqvistDepartment of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden.
Charlotta AnderssonDepartment of Medical Biosciences/Pathology, Umeå University, Umeå, Sweden.
Christina Kåbjörn GustafssonExpert Group on Pathology and Cytology, Equalis AB, Uppsala, Sweden.
Balazs AcsDepartment of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden. balazs.acs@ki.se.ORCID http://orcid.org/0000-0002-0972-4633

Funding

Svenska Sällskapet för Medicinsk Forskning PD20-0151
6 · The paper itself

Abstract

External quality assessment (EQA) schemes for pathology are essential, yet large/international programmes do not assess morphology-based biomarkers or address local/regional needs. This study outlines bottom-up initiated, flexible Swedish Digital Pathology EQA rounds for breast pathology, and presents results from the 2021 and 2023 rounds. Six breast carcinoma cases were selected for each EQA round by the Swedish Breast Pathology Expert Group (KVAST Breast). Whole tissue slides stained with HE, IHC, and ISH were anonymized, digitized, and uploaded to the digital EQA platform. Biomarkers were selected based on national registry data analysis and pathologist and clinician feedback. The 2021 round assessed Nottingham grade (NHG), oestrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2), while the 2023 round focused on NHG, HER2-low, and global Ki67. Twenty-seven pathology departments participated. From 2021 to 2023, the variability of NHG assessment on digital slides improved from moderate to substantial (kappa 0.50; 95% CI 0.45-0.55 to 0.64; 95% CI 0.60-0.68), with better agreement for NHG3 than NHG1. Participants showed substantial and excellent agreement in ER (kappa 1) and PR (0.75 (95% CI 0.69-0.82). We found similar agreement in distinguishing HER2 IHC 0 (0.78; 95% CI 0.72-0.82) and HER2 IHC 3 + (0.94; 95% CI 0.88-1.00) from other HER2 IHC scores. Participants showed substantial agreement in detecting Ki67 high and Ki67 low cases (kappa 0.65; 95% CI 0.60-0.71 and 0.69; 95% CI 0.64-0.74, respectively). This digital EQA identifies local issues and complements large international EQAs to address challenges in the rapidly changing biomarkers of cancer therapy.

Indexed as

Biomarkers, TumorBreast NeoplasmsPathology, ClinicalQuality Assurance, Health CareErb-b2 Receptor Tyrosine KinasesFemaleHumansImmunohistochemistryReceptors, EstrogenReceptors, ProgesteroneSwedenBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, ProgesteroneBreast neoplasmsLaboratory proficiency testingQuality assuranceTumour biomarker

Identifiers

PMID40019543
PMCPMC13477444

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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.