Evidence map›Paper›PMID 42164693›Full record

ArticleGland surgery2026

Personalized survival prediction in young Asian American breast cancer.

Fei Xu, Zhi-Li Chen, Yu-Ling Zhang, Nan-Jun Chen, Hai-Ping You, Lu Wu, Jie-Wen Chen, Sha-Sha Du, Heng-Wen Sun, Qi Zhou and 1 more

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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0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Fei Xu *Department of Radiation Oncology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China.
Zhi-Li Chen *Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Yu-Ling Zhang *Department of Endocrinology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Nan-Jun ChenDepartment of Radiation Oncology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Hai-Ping YouDepartment of Radiation Oncology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Lu WuDepartment of Radiation Oncology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Jie-Wen ChenDepartment of Radiation Oncology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Sha-Sha DuDepartment of Radiation Oncology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Heng-Wen Sun *Department of Radiation Oncology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Qi Zhou *Department of Breast Surgery, Tangshan People's Hospital (Hebei Key Laboratory of Molecular Oncology, Affiliated Tangshan People's Hospital of North China University of Science and Technology), Tangshan, China.
Xin Hua *Department of Radiation Oncology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Young Asian American women with breast cancer present unique prognostic challenges, yet predictive tools specifically designed for this population are lacking. This study aimed to develop and validate a comprehensive nomogram to predict overall survival (OS) in young Asian American breast cancer patients. Methods: Using the Surveillance, Epidemiology, and End Results (SEER) database [2000-2021], we included 3,172 Asian American breast cancer patients aged ≤40 years from an initial population of 109,317 cases. The cohort was randomly divided into training (n=2,224) and validation (n=948) sets. A nomogram incorporating clinicopathological factors was developed using multivariate Cox regression analysis. Results: Integrating T stage, N stage, molecular subtype, and surgical approach, the nomogram demonstrated reasonable predictive capability for OS [concordance index (C-index) =0.759; 95% confidence interval (CI): 0.719-0.799], surpassing that of the conventional staging system (C-index =0.736; 95% CI: 0.678-0.793). The findings underwent internal validation within a split-sample cohort. Conclusions: We developed and validated the novel prognostic nomogram specifically designed for young Asian American breast cancer patients. This tool shows reasonable predictive performance and facilitates personalized treatment planning and risk stratification in this unique population. As our model was evaluated using internal split-sample validation, future true external validation in distinct clinical cohorts is warranted to confirm its generalizability.

Indexed as

Asian AmericanNomogramprognostic modelSurveillance, Epidemiology, and End Results database (SEER database)young breast cancer

Identifiers

PMID42164693
PMCPMC13184349

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.