Doria Cataldo, De Deyne Patrick G, Charalampos Papachristou
Capital Health Cancer Center, One Capital Way, Pennington, NJ 08534, USA.
College of Science and Mathematics, Rowan University, 201 Mullica Hill Road, Glassboro, NJ 08028, USA.
Curr Oncol. 2024 Dec 3;31(12):7754-7764. doi: 10.3390/curroncol31120570.
: Regional differences in socioeconomic status (SES) are well known, and we believe that the use of geocoding (zip code) can facilitate the introduction of targeted interventions for underserved populations. This is a single-center, retrospective analysis of data extracted from the cancer registry at the Capital Health Cancer Center in Pennington, N. The Capital Health Cancer Center in central New Jersey primarily serves two counties, catering to a diverse patient population from a wide range of socioeconomic backgrounds. : We abstracted 1269 consecutive cases of colorectal cancer (CRC) diagnosed and treated between 2000 and 2019 from the Cancer Registry of the Capital Health Cancer Center (CHCC). Using the definition of SES based on previously published work, and zip codes (geocoding), we created four SES levels. We stratified our subjects according to their stage at diagnosis, age at diagnosis, race, and ethnicity. The primary outcome variable was overall survival (OS). : There was a statistically significant difference in OS based on SES, with the highest overall survival (OS) in the high-SES group (47 months) and the shortest OS in the low and mid-low-SES groups (40.4 and 30 months, respectively). Subjects living in high-SES areas were predominantly white (88.2%) and diagnosed at a later age (mean of 68.9 years of age) compared to individuals who lived in a low-SES area, who were predominantly non-white (72.6%) and diagnosed somewhat earlier in life (65.1 years of age). White people were diagnosed later in life (70.9 years of age) compared to non-white populations, including Black (66.5), Asian (61.7), and Hispanic (58.5) ( = 0.001) populations, but this did not lead to a significant difference in OS ( = 0.56). Stage at diagnosis was a significant predictor of OS, but was unrelated to SES ( = 0.066). A Cox proportional hazard ratio (HR) model showed that the risk of dying from colorectal cancer decreases with a higher socioeconomic status (SES). Those from mid-high-SES backgrounds had a 19% lower risk (HR 0.81), and those from high-SES areas had a 45% lower risk (HR 0.55) compared to individuals from low-SES areas. : The vulnerability of patients with CRC in central New Jersey is a complex issue, influenced by many different variables. Our results indicate that SES is the most critical factor affecting OS after being diagnosed with CRC.
社会经济地位(SES)的地区差异是众所周知的,我们认为使用地理编码(邮政编码)可以促进针对服务不足人群的有针对性干预措施的引入。这是一项单中心回顾性分析,数据来自新泽西州彭宁顿市首都健康癌症中心的癌症登记处。新泽西州中部的首都健康癌症中心主要服务两个县,为来自广泛社会经济背景的不同患者群体提供服务。:我们从首都健康癌症中心(CHCC)的癌症登记处提取了2000年至2019年间连续诊断和治疗的1269例结直肠癌(CRC)病例。根据先前发表的工作定义和邮政编码(地理编码),我们创建了四个SES级别。我们根据诊断阶段、诊断年龄、种族和族裔对受试者进行分层。主要结局变量是总生存期(OS)。:基于SES的OS存在统计学上的显著差异,高SES组的总生存期(OS)最长(47个月),低和中低SES组的OS最短(分别为40.4个月和30个月)。与生活在低SES地区的个体相比,生活在高SES地区的受试者主要是白人(88.2%),诊断年龄较晚(平均68.9岁),而生活在低SES地区的个体主要是非白人(72.6%),诊断年龄稍早(65.1岁)。与非白人人群(包括黑人(66.5岁)、亚洲人(61.7岁)和西班牙裔(58.5岁))相比,白人的诊断年龄较晚(70.9岁)(P = 0.001),但这并未导致OS的显著差异(P = 0.56)。诊断阶段是OS的重要预测因素,但与SES无关(P = 0.066)。Cox比例风险比(HR)模型显示,结直肠癌死亡风险随着社会经济地位(SES)的提高而降低。与来自低SES地区的个体相比,来自中高SES背景的个体风险降低19%(HR 0.81),来自高SES地区的个体风险降低45%(HR 0.55)。:新泽西州中部CRC患者的脆弱性是一个复杂问题,受许多不同变量影响。我们的结果表明,SES是影响CRC诊断后OS的最关键因素。