Evidence map›Paper›PMID 42449629›Full record

ArticleCancers2026

Breast Cancer Hormone Receptor Status Determination from H&E-Stained Biopsy Images Using Pixel-Level Classifiers.

Shuyang Wu, Ines P Nearchou, Sandrine Prost, Jonathan A Fallowfield, Hideki Ueno, Hitoshi Tsuda, Alastair Ironside, David J Harrison, Timothy J Kendall

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

9 authors.

Shuyang WuCentre for Inflammation Research, Institute of Regeneration and Repair, University of Edinburgh, Edinburgh EH16 4UU, UK.ORCID 0009-0005-6075-9179
Ines P NearchouIndica Labs, LCC, 8700 Education Pl NW, Bldg. B, Albuquerque, NM 87114, USA.
Sandrine ProstCentre for Inflammation Research, Institute of Regeneration and Repair, University of Edinburgh, Edinburgh EH16 4UU, UK.ORCID 0000-0002-0140-7115
Jonathan A FallowfieldCentre for Inflammation Research, Institute of Regeneration and Repair, University of Edinburgh, Edinburgh EH16 4UU, UK.ORCID 0000-0002-5741-1471
Hideki UenoDepartment of Surgery, National Defense Medical College, 3-2 Namiki, Tokorozawa 359-0042, Japan.
Hitoshi TsudaDepartment of Diagnostic Pathology, Seikei-kai Chiba Medical Centre, 1-7-1 Minami-cho, Chuo-ku, Chiba 260-0842, Japan.
Alastair IronsideDirectorate of Laboratory Medicine-Pathology Department, NHS Lothian University Hospitals Division, Western General Hospital, Edinburgh EH4 2XU, UK.
David J HarrisonSchool of Medicine, University of St Andrews, St Andrews KY16 9AJ, UK.ORCID 0000-0001-9041-9988
Timothy J KendallCentre for Inflammation Research, Institute of Regeneration and Repair, University of Edinburgh, Edinburgh EH16 4UU, UK.ORCID 0000-0002-4174-2786

Funding

Medical Research Scotland PHD-50538-2022
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

breast cancerdigital pathologyhormone receptor status predictionmachine learningslide-level prediction

Identifiers

PMID42449629
PMCPMC13360198

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.