Evidence map›Paper›PMID 40524106›Full record

ArticleBreast cancer (Tokyo, Japan)2025

Marital status as an independent prognostic factor in male breast cancer: a SEER-based cohort study.

Ahmet Necati Sanli, Bilal Turan, Deniz Esin Tekcan Sanli, Fatih Aydogan, M Kadri Altundag

Abstract read
In one paragraph

Article in Breast cancer (Tokyo, Japan), 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. Article
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

5 authors.

Ahmet Necati SanliDepartment of General Surgery, Abdulkadir Yuksel State Hospital, Gaziantep, Turkey.
Bilal TuranDepartment of General Surgery, Faculty of Medicine, Suleyman Demirel University, Isparta, Turkey. bturan117@gmail.com.ORCID http://orcid.org/0000-0003-1665-3607
Deniz Esin Tekcan SanliDepartment of Radiology, Faculty of Medicine, Gaziantep University, Gaziantep, Turkey.
Fatih AydoganBreast Health Center, Memorial Bahcelievler Hospital, Istanbul, Turkey.
M Kadri AltundagMKA Breast Cancer Clinic, Ankara, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMale breast cancer (MBC) is a rare malignancy, and research on its prognostic factors remains limited. Marital status has been identified as a prognostic determinant in various cancers; however, the impact of marital status on MBC survival outcomes remains understudied. This study examines the relationship between marital status and survival in MBC patients using a large, population-based cohort.

methodsA retrospective cohort study was conducted using the Surveillance, Epidemiology, and End Results (SEER) 17 Registries database (2010-2021). MBC patients (n = 5,994) were categorized into four marital status groups: married, unmarried, divorced, and widowed. Kaplan-Meier survival curves, log-rank tests, and Cox proportional hazards models were used to assess overall survival (OS) and disease-specific survival (DSS).

resultsSignificant differences in OS and DSS were observed among marital status groups (p < 0.001). Widowed patients had the poorest survival outcomes, with a 2.59 times higher increased mortality risk (HR = 2.594, 95% CI: 2.246-2.996, p < 0.001) compared to married individuals in univariate analysis. This association remained significant in multivariate analysis, with widowed patients demonstrating a 1.72 times higher mortality risk (HR = 1.724, 95% CI: 1.421-2.092, p < 0.001) after adjustment for clinicopathological and demographic variables. Unmarried and divorced patients also had poorer survival outcomes than married patients, albeit with lower hazard ratios.

conclusionsMarital status is an independent prognostic factor in MBC, with widowed patients experiencing the poorest outcomes. These findings underscore the important role of social and psychological support in cancer prognosis. Integrating psychosocial support programs and patient-centered care approaches into oncological practice can help reduce survival disparities.

Indexed as

Breast Neoplasms, MaleMarital StatusAdultAgedHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisProportional Hazards ModelsRetrospective StudiesSEER ProgramSurvival RateMale breast cancerMarital statusPrognostic factorPsychosocial supportSEERSurvival

Identifiers

PMID40524106
PMCPMC12394377

What OpenQuestion holds

Textmetadata
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.