School of Medicine, University of Missouri-Kansas City, Kansas City, MO, United States.
School of Medicine, University of Missouri-Kansas City, Kansas City, MO, United States.
Cancer Epidemiol. 2024 Oct;92:102645. doi: 10.1016/j.canep.2024.102645. Epub 2024 Aug 14.
Rural-urban healthcare disparities have been demonstrated throughout the United States, particularly in acquiring oncologic care. In this study, we aim to discern the role of rural-urban health disparities in thymic cancer incidence and uncover potential survival disparities.
The Surveillance, Epidemiology, and End Results (SEER) 17-State database was queried for all cases of thymoma (ICD-O-3/3 codes: 8580-8585) and thymic carcinoma (8586) located in the thymus (primary site code C37.9) diagnosed between 2000 and 2020. Residence was established using SEER Rural-Urban Continuum Codes. Incidence trend modeling for rural versus urban patients was completed using Joinpoint Regression Software. Chi-square, Kaplan-Meier with log-rank testing, and Cox proportional hazards was completed using SPSS, with significance set to p <0.05.
Joinpoint analysis revealed a significant growth in incidence in the urban population compared to a stagnant incidence among the rural population. Disease specific survival was higher among urban patients on univariate modeling (p = 0.010), and confirmed on multivariate analysis, whereby rural living conferred an adjusted hazard ratio of 1.263 (95 % CI 1.045-1.527; p = 0.016) in comparison to urban patients.
These findings demonstrate differences between thymic cancer incidence and outcomes in patients living in urban versus rural environments and demonstrate an important disparity.
在美国,城乡医疗保健差距一直存在,尤其是在获得肿瘤治疗方面。本研究旨在探讨城乡健康差距在胸腺癌发病率中的作用,并揭示潜在的生存差距。
通过监测、流行病学和最终结果(SEER)17 州数据库,对 2000 年至 2020 年间诊断为胸腺瘤(ICD-O-3/3 代码:8580-8585)和胸腺癌(8586)的所有病例进行了查询,这些病例位于胸腺(初级部位代码 C37.9)。使用 SEER 城乡连续统代码确定居住地。使用 Joinpoint 回归软件对农村与城市患者的发病率趋势进行建模。使用 SPSS 完成卡方检验、Kaplan-Meier 对数秩检验和 Cox 比例风险检验,显著性水平设置为 p <0.05。
Joinpoint 分析显示,与农村人口发病率停滞不前相比,城市人口的发病率显著增长。单变量模型显示,城市患者的疾病特异性生存率更高(p = 0.010),多变量分析也证实了这一点,与城市患者相比,农村居民的调整后危险比为 1.263(95%CI 1.045-1.527;p = 0.016)。
这些发现表明,生活在城市和农村环境中的胸腺癌患者在发病率和结局方面存在差异,并表明存在重要的差异。