濾胞性リンパ腫患者における婚姻状況が生存に及ぼす影響
Songyuan He1, Hao Song1, Weiyi Zuo1
1Department of Oncology, Guangyuan Central Hospital, No. 16 Jingxiangzi, Guangyuan City, 628000, Sichuan, China.
Abstract:
Although marital status has been associated with survival in several cancers, evidence regarding its prognostic relevance in follicular lymphoma (FL), an indolent lymphoma characterized by prolonged survival, remains limited. In this population-based study using the SEER database, we identified 23,434 adult patients diagnosed with FL between 2013 and 2022. Propensity score matching was performed to balance baseline characteristics, and survival outcomes were assessed using Kaplan-Meier analysis and Cox proportional hazards models. In the overall cohort, unmarried patients were more likely to be female, older, and present with B symptoms (all P < 0.001), and demonstrated significantly lower 5-year overall survival (OS: 72.8% vs. 81.0%, P < 0.001) and cause-specific survival (CSS: 84.9% vs. 90.6%, P < 0.001) compared with married patients. After 1:1 propensity score matching on age, sex, race/ethnicity, Ann Arbor stage, B symptoms, treatment status, prior cancer history, and diagnosis year (matched cohort, n = 16,384), this survival disparity persisted (5-year OS: 72.5% vs. 81.3%; CSS: 84.7% vs. 90.7%; both P < 0.001). Multivariable Cox regression confirmed that unmarried status was independently associated with increased risks of OS (HR, 1.62; 95% CI, 1.53-1.71, P < 0.001) and CSS (HR, 1.77; 95% CI, 1.63-1.92, P < 0.001). These findings suggest that unmarried status is an independent adverse prognostic factor in patients with FL and highlight additional attention may be warranted for unmarried individuals during long-term disease management.
さらに関連する動画
関連する概念動画
Survival Curves
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
Survival Tree
Building a Survival Tree
Constructing a...
Impact of Groups on Groups
Marcia's Theory of Identity Status
Introduction To Survival Analysis
The primary goal of survival analysis is to estimate survival time—the time...
Comparing the Survival Analysis of Two or More Groups


