Evidence map›Paper›PMID 40624063›Full record

ArticleScientific reports2025

Development, verification, and comparison of a risk stratification model to identify potential population benefiting from chemotherapy in non-metastatic male breast cancer.

Mingkun Zhang, Qing Yao, Yuan Qin, Niuniu Hou, Xueyuan Tang, Juliang Zhang

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2025. 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

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

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

6 authors.

Mingkun Zhang *Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, The Fourth Military Medical University, Xi'an, 710032, Shanxi, People's Republic of China.
Qing Yao *Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, The Fourth Military Medical University, Xi'an, 710032, Shanxi, People's Republic of China.
Yuan QinDepartment of Thyroid, Breast and Vascular Surgery, Xijing Hospital, The Fourth Military Medical University, Xi'an, 710032, Shanxi, People's Republic of China.
Niuniu HouDepartment of General Surgery, Air Force 986(Th) Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, People's Republic of China.
Xueyuan TangDepartment of Reproductive Endocrinology, Xi'an International Medical Center Hospital, Xi'an, 710100, Shanxi, People's Republic of China. tangxyxj0805@163.com.
Juliang ZhangDepartment of Thyroid, Breast and Vascular Surgery, Xijing Hospital, The Fourth Military Medical University, Xi'an, 710032, Shanxi, People's Republic of China. vascularzhang@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To establish a prognostic stratification nomogram for non-metastatic male breast cancer to determine which patients can benefit from chemotherapy. A population-based study was conducted using data collected from the surveillance, epidemiology, and end results database. Cox proportional hazards analysis identified significant prognostic factors for survival. A prognostic stratification model was developed using R software. Propensity score matching was implemented to balance characteristics between the chemotherapy cohort and the non-chemotherapy cohort. The multivariate analyses indicated that age, race, grade, surgery, primary tumor, marital status, T stage, and N stage were independent prognostic factors for overall survival in non-metastatic metastatic MBC patients who did not receive chemotherapy (all P < 0.05). The C-index was 0.786 (95% CI 0.662-0.870) in the training cohort and 0.763 (95% CI 0.517-0.852) in the validation cohort. The nomogram effectively discriminated between low-risk, moderate-risk, and high-risk groups concerning OS (P < 0.0001). The current study developed the first prognostic stratification nomogram for non-metastatic MBC and identified that patients in the moderate-risk and high-risk groups are more likely to benefit from chemotherapy.

Indexed as

Breast Neoplasms, MaleAdultAgedHumansMaleMiddle AgedNomogramsPrognosisProportional Hazards ModelsRisk AssessmentSEER ProgramChemotherapyMale breast cancerNomogramOverall survivalPrognosisSEER

Identifiers

PMID40624063
PMCPMC12234949

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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 OpenQuestion graph.