Evidence map›Paper›PMID 41463189›Full record

ArticleCancers2025

A Weakly Supervised Approach for HPV Status Prediction in Oropharyngeal Carcinoma from H&E-Stained Slides.

Angela Crispino, Silvia Varricchio, Alessandra Marfella, Dora Cerbone, Daniela Russo, Rosa Maria Di Crescenzo, Stefania Staibano, Francesco Merolla, Gennaro Ilardi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2025. 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

9 authors.

Angela CrispinoPathology Unit, Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini, 5, 80131 Napoli, Italy.ORCID 0009-0003-6344-7942
Silvia VarricchioPathology Unit, Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini, 5, 80131 Napoli, Italy.ORCID 0000-0003-4984-0046
Alessandra MarfellaPathology Unit, Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini, 5, 80131 Napoli, Italy.ORCID 0009-0004-4671-3310
Dora CerbonePathology Unit, Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini, 5, 80131 Napoli, Italy.ORCID 0009-0007-7394-3754
Daniela RussoPathology Unit, Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini, 5, 80131 Napoli, Italy.ORCID 0000-0002-6961-3695
Rosa Maria Di CrescenzoPathology Unit, Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini, 5, 80131 Napoli, Italy.ORCID 0000-0003-0404-0141
Stefania StaibanoPathology Unit, Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini, 5, 80131 Napoli, Italy.ORCID 0000-0003-4993-9388
Francesco MerollaDepartment of Medicine and Health Sciences "V. Tiberio", University of Molise, Via De Sanctis, 86100 Campobasso, Italy.ORCID 0000-0003-0711-6738
Gennaro IlardiPathology Unit, Department of Advanced Biomedical Sciences, University of Naples Federico II, Via S. Pansini, 5, 80131 Napoli, Italy.ORCID 0000-0002-9354-4087

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

CLAMdeep learningdigital pathologyHPVOPSCCweakly supervised learningwhole-slide imaging

Identifiers

PMID41463189
PMCPMC12730384

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.