Evidence map›Paper›PMID 41893936›Full record

ArticleDiscover oncology2026

Log odds of positive lymph nodes predicts survival in metaplastic breast cancer based on SEER analysis.

Qi Chen, Yingbo Shao, Chaojun Liu, Yaning He, Hui Liu

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Qi ChenDepartment of Breast Surgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, No. 7, Weiwu Road, Jinshui District, Zhengzhou, 450003, Henan, China. 1071379894@qq.com.
Yingbo ShaoDepartment of Breast Surgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, No. 7, Weiwu Road, Jinshui District, Zhengzhou, 450003, Henan, China.
Chaojun LiuDepartment of Breast Surgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, No. 7, Weiwu Road, Jinshui District, Zhengzhou, 450003, Henan, China.
Yaning HeDepartment of Breast Surgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, No. 7, Weiwu Road, Jinshui District, Zhengzhou, 450003, Henan, China.
Hui LiuDepartment of Breast Surgery, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, No. 7, Weiwu Road, Jinshui District, Zhengzhou, 450003, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate, for the first time, the association between LODDS and survival outcomes in MBC patients after surgery.

methodsThis retrospective analysis included 1,776 patients diagnosed with MBC recorded during 2010-2017 through the Surveillance, Epidemiology, and End Results (SEER) database. The optimal LODDS cutoff was determined. using maximally selected rank statistics, with patients subsequently categorized into low (L1) and high (L2) groups of LODDS. Cox models, Kaplan-Meier, and restricted cubic splines analyzed OS and BCSS.

resultsAfter adjusting for demographic and tumor-related characteristics, LODDS remained significantly associated with OS and BCSS, both as a continuous and categorical variable. In adjusted model, the L2 group exhibited mortality increases of 25% for all causes (HR: 1.25, 95% confidence interval [CI]: 1.06-1.48, P = 0.009) and 29% for breast cancer-specific causes (HR: 1.29, 95% CI: 1.05-1.58, P = 0.015) compared to the L1 group. The Log-rank analysis (P = 0.003) confirmed superior survival outcomes in the L1 group compared to L2 group. RCS analysis revealed a nonlinear U-shaped correlation between LODDS and OS (P < 0.001), while a linear correlation was observed between LODDS and BCSS (P = 0.443).

conclusionThese findings provide the first evidence that LODDS has a significant non-linear association with OS and a significant linear association with BCSS in patients with MBC after surgery. Higher LODDS values were associated with elevated risks of all-cause mortality and breast cancer-specific mortality.

Indexed as

LODDSMBCOSSEER

Identifiers

PMID41893936
PMCPMC13144462

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