Evidence map›Paper›PMID 39697725›Full record

ArticleTranslational cancer research2024

The relationship between marital status and survival in primary bone cancer: a population-based study.

Xiaoxia Huang, Leilei Tian, Chuang Li, Jinling Liu, Rui Shi, Fang Lin, Yi Luo

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Article in Translational cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiaoxia HuangOperating Room, West China Hospital, West China School of Nursing, Sichuan University, Chengdu, China.
Leilei TianOperating Room, West China Hospital, West China School of Nursing, Sichuan University, Chengdu, China.
Chuang LiOperating Room, West China Hospital, West China School of Nursing, Sichuan University, Chengdu, China.
Jinling LiuOperating Room, West China Hospital, West China School of Nursing, Sichuan University, Chengdu, China.
Rui ShiOperating Room, West China Hospital, West China School of Nursing, Sichuan University, Chengdu, China.
Fang LinOperating Room, West China Hospital, West China School of Nursing, Sichuan University, Chengdu, China.
Yi LuoDepartment of Orthopedics and Orthopaedic Research Institute, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Previous studies have demonstrated a significant impact of marital status on the prognosis of various cancers; however, its specific influence on the prognosis of primary bone cancer remains insufficiently investigated. In this study, we aimed to investigate the survival differences between male and female in patients diagnosed with primary bone cancer. Methods: Surveillance, Epidemiology, and End Results (SEER) database was utilized to identify suitable patients. Patients were categorized into married and unmarried groups, with a 1:1 propensity score matching (PSM) method used to balance baseline characteristics between the two groups. Kaplan-Meier curves and Log-rank tests were then employed to ascertain differences in overall survival (OS) and cancer-specific survival (CSS) between the groups, followed by gender-based subgroup analyses. A multivariate Cox regression was finally conducted to adjust for the effects of covariates. Results: A total of 8,208 patients were included in this study, comprising 4,650 married and 3,558 unmarried individuals. Significant baseline characteristic differences were observed between the two groups before PSM. After PSM, 3,138 patients from each group were included, with balance maintained in all considered baseline characteristics. Before PSM, married patients had better OS [hazard ratio (HR) =0.93, 95% confidence interval (CI): 0.87-0.99, P=0.047] compared to unmarried patients, but no significant difference in CSS (HR =0.95, 95% CI: 0.88-1.03, P=0.21). Following PSM, married patients exhibited significantly better OS (HR =0.85, 95% CI: 0.79-0.92, P<0.001) and CSS (HR =0.92, 95% CI: 0.84-0.99, P=0.045) than unmarried patients. However, in subgroup analyses, the survival benefit attributed to marriage was observed only in females, not in males. In Cox regression, marriage was identified as an independent protective factor for OS (HR =0.86, 95% CI: 0.79-0.93, P<0.001) and CSS (HR =0.91, 95% CI: 0.82-0.97, P=0.04). Conclusions: In patients with primary malignant bone cancer, marriage is a protective factor for survival, but this effect appears to be limited to females.

Indexed as

cancer-specific survival (CSS)marital statusoverall survival (OS)Primary bone cancer

Identifiers

PMID39697725
PMCPMC11651730

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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.