Evidence map›Paper›PMID 42299291›Full record

ArticleGland surgery2026

Prognostic impact of extensive nodal involvement in small-sized (T1) breast cancer: a population-based and propensity score-matched analysis of the SEER database.

Bingbin Dong, Zhaocai Yin, Zheng Wang, Yabing Wang

Abstract read
In one paragraph

Article in Gland surgery, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Bingbin Dong *Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, China.
Zhaocai Yin *Department of Thyroid and Breast Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, China.
Zheng WangDepartment of Thyroid and Breast Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, China.
Yabing WangDepartment of Thyroid and Breast Surgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital of Wannan Medical College), Wuhu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prognostic significance of extensive nodal involvement (N2-3) in patients with small-sized (T1) breast cancer remains to be fully elucidated. This study aimed to compare the clinicopathological characteristics and survival outcomes between T1N0-1M0 and T1N2-3M0 breast cancer. Methods: Patients diagnosed with T1 breast cancer between 2010 and 2012 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Clinicopathological features were compared using Chi-squared tests and t-tests. Overall survival (OS) and breast cancer-specific survival (BCSS) were assessed using Kaplan-Meier analysis and Cox regression. Propensity score matching (PSM) was performed to minimize confounding effects. Competing risk analysis using the Fine-Gray model was also conducted to compare the cumulative incidence of breast cancer-specific death, accounting for death from other causes as a competing event. Results: Of 60,318 eligible patients with T1M0 breast cancer, 2.9% (n=1,772) had T1N2-3M0 disease. Compared to the T1N0-1M0 cohort, these patients were younger, had higher T substages, less frequent hormone receptor positivity, higher human epidermal growth factor receptor 2 (HER2) positivity and tumor grade, and received more aggressive surgical and systemic therapy (all P<0.001). Before matching, T1N2-3M0 status was associated with significantly worse 5-year OS [86.9% Conclusions: Even within T1 breast cancer, extensive nodal involvement (N2-3) defines a distinct subgroup with more aggressive tumor biology and significantly poorer survival, independent of other clinicopathological factors. This underscores the critical need for comprehensive nodal staging and potentially more intensive treatment strategies for T1N2-3 patients.

Indexed as

Breast cancerlymph nodes metastasisprognosispropensity score matching (PSM)Surveillance, Epidemiology, and End Results database (SEER database)

Identifiers

PMID42299291
PMCPMC13264747

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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.