Evidence map›Paper›PMID 40379683›Full record

ReviewNPJ breast cancer2025

Unveiling the paradigm shift: systemic treatment strategies in small, node-negative breast cancer.

Mariana Carvalho Gouveia, Mariana Scaranti, Bruna Migliavacca Zucchetti, Renata Colombo Bonadio, Romualdo Barroso-Sousa, Jose Pablo Leone

Abstract readReview
In one paragraph

Review in NPJ breast cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Mariana Carvalho GouveiaDepartment of Medical Oncology, DASA Oncology, 9 de Julho Hospital, São Paulo, Brazil. marianacgouveia@gmail.com.ORCID http://orcid.org/0000-0001-8194-7594
Mariana ScarantiDepartment of Medical Oncology, DASA Oncology, 9 de Julho Hospital, São Paulo, Brazil.ORCID http://orcid.org/0000-0001-7713-0100
Bruna Migliavacca ZucchettiDepartment of Medical Oncology, DASA Oncology, 9 de Julho Hospital, São Paulo, Brazil.
Renata Colombo BonadioDepartment of Medical Oncology, Instituto D'Or de Pesquisa e Ensino (IDOR), São Paulo, Brazil.ORCID http://orcid.org/0000-0001-5818-922X
Romualdo Barroso-SousaDepartment of Medical Oncology, DASA Oncology, Brasília Hospital, DASA, Brasília, Brazil.ORCID http://orcid.org/0000-0002-1825-9876
Jose Pablo LeoneDepartment of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, USA.ORCID http://orcid.org/0000-0002-8537-652X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The implementation of screening mammography has significantly altered the size distribution of breast tumors, with approximately 20% of newly diagnosed breast cancers measuring 10 mm or smaller with node-negative disease (T1aN0 and T1bN0). The management of these early-stage breast cancers remains a subject of debate. Historically, patients with T1aN0 and T1bN0 breast cancer have been excluded from adjuvant chemotherapy trials due to their excellent prognosis, with reported 10-year disease-specific survival rates exceeding 90%. However, the optimal treatment strategy for this subgroup of patients continues to be controversial, as the potential benefits of adjuvant chemotherapy must be carefully weighed against the risks of overtreatment. In this review, we summarize current evidence on outcomes and treatment strategies, highlight gaps in the literature, and provide future perspectives on the management of T1aN0 and T1bN0 breast cancer, according to immunohistochemical subtypes.

Identifiers

PMID40379683
PMCPMC12084305

What OpenQuestion holds

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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.