Evidence map›Paper›PMID 41375017›Full record

ArticleCancers2025

SCOUT

Julieta Puente-Monserrat, Ernesto Muñoz-Sornosa, Vicente López-Flor, Marcos Adrianzén-Vargas, Dixie Huntley-Pascual, Georgy Kadzhaya-Khlystov, Diego Soriano-Mena, Elvira Buch-Villa

Abstract read
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. Review
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

8 authors.

Julieta Puente-MonserratBreast Unit, Department of General and Digestive Surgery, Hospital Clínico Universitario of Valencia, 46010 Valencia, Spain.ORCID 0009-0004-1369-191X
Ernesto Muñoz-SornosaBreast Unit, Department of General and Digestive Surgery, Hospital Clínico Universitario of Valencia, 46010 Valencia, Spain.ORCID 0000-0002-3201-8841
Vicente López-FlorBreast Unit, Department of General and Digestive Surgery, Hospital Clínico Universitario of Valencia, 46010 Valencia, Spain.ORCID 0000-0003-0984-4667
Marcos Adrianzén-VargasBreast Unit, Department of General and Digestive Surgery, Hospital Clínico Universitario of Valencia, 46010 Valencia, Spain.ORCID 0000-0001-7369-7361
Dixie Huntley-PascualBreast Unit, Department of General and Digestive Surgery, Hospital Clínico Universitario of Valencia, 46010 Valencia, Spain.ORCID 0009-0002-0937-6189
Georgy Kadzhaya-KhlystovBreast Unit, Department of General and Digestive Surgery, Hospital Clínico Universitario of Valencia, 46010 Valencia, Spain.ORCID 0009-0009-5286-4218
Diego Soriano-MenaDepartment of Radiology, Hospital Clínico Universitario, 46010 Valencia, Spain.
Elvira Buch-VillaBreast Unit, Department of General and Digestive Surgery, Hospital Clínico Universitario of Valencia, 46010 Valencia, Spain.ORCID 0000-0001-7800-9935

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreoperative localization of non-palpable breast lesions is critical for accurate resection and margin control in breast-conserving surgery. Traditional methods, such as wire or radioguided localization, have limitations in terms of logistics, patient comfort, and procedural flexibility. SCOUT

methodsWe conducted a retrospective, single-centre observational study including 427 patients who underwent breast-conserving surgery after preoperative localization using the SCOUT

resultsThe mean age was 58 ± 12.7 years, with malignant pathology in 88.5% of cases. SCOUT

conclusionsSCOUT

Indexed as

breast cancerconservative breast surgerynegative marginsnon-palpable lesionsradar localizationSCOUT

Identifiers

PMID41375017
PMCPMC12691259

What OpenQuestion holds

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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.