Maganti Ram Kiran, Rajaravichandran Anubama, Patel Vivek Kumar, Suraparaju Sonika, Zahid Zuhaa
Internal Medicine, Sri Devraj Urs Medical College, Kolar, IND.
Internal Medicine, PSG Institute of Medical Sciences and Research, Coimbatore, IND.
Cureus. 2024 May 19;16(5):e60636. doi: 10.7759/cureus.60636. eCollection 2024 May.
The study aims to examine the disparities in mortality rates attributed to brain cancer between urban and rural areas over a 22-year period, totaling 315,538 deaths. This investigation serves as a crucial step in identifying areas within healthcare that require improvement. By pinpointing the variations in mortality rates between urban and rural settings, healthcare authorities can strategically implement necessary interventions.
A retrospective study was conducted by analyzing the death certificate available on the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) database from 1999 to 2020 to evaluate the mortality rate trends of brain cancer ( International Classification of Diseases (ICD)-10 C71.0-71.9).The data was grouped based on rural and urban death rates according to the 2013 urbanization classification and the variables that were used were age, gender and race. Data was analyzed using Microsoft Excel and R Studio 4.3.1. Significant associations between demographic variables and mortality rates were identified via Binomial tests.
From 1999 to 2020, urban areas recorded 259,402 deaths attributed to brain cancer, compared to 56,136 deaths in rural areas, indicating a higher mortality rate in urban settings. The mortality rate in both rural and urban areas exhibited an upward trend, except for a slight drop in 2010. The mortality rates were significantly higher in rural areas compared to urban areas for age groups 55-64 years and 65-74 years, males and caucasians.
Our research underscores the differences in death rates from brain cancer between urban and rural areas, specifically among individuals aged 55-64 and 65-74, males and those of caucasian ethnicity. Future research must adopt a multifaceted approach, integrating more recent datasets and embracing a finer granularity of individual-level information. Moreover, there is a pressing need to explore the interplay of various factors such as access to healthcare, treatment modalities, genetic predispositions, and socioeconomic determinants on mortality outcomes.
本研究旨在调查22年间城乡地区因脑癌导致的死亡率差异，共计315,538例死亡。这项调查是确定医疗保健领域需要改进之处的关键一步。通过查明城乡地区死亡率的差异，医疗保健当局可以有策略地实施必要的干预措施。
进行了一项回顾性研究，通过分析疾病控制和预防中心广泛在线流行病学研究数据（CDC WONDER）数据库中1999年至2020年的死亡证明，以评估脑癌（国际疾病分类（ICD）-10 C71.0-71.9）的死亡率趋势。根据2013年城市化分类，将数据按农村和城市死亡率进行分组，使用的变量包括年龄、性别和种族。数据使用Microsoft Excel和R Studio 4.3.1进行分析。通过二项式检验确定人口统计学变量与死亡率之间的显著关联。
1999年至2020年，城市地区有259,402例因脑癌导致的死亡，而农村地区为56,136例，表明城市地区的死亡率更高。除2010年略有下降外，农村和城市地区的死亡率均呈上升趋势。55-64岁和65-74岁年龄组、男性和白种人的农村地区死亡率明显高于城市地区。
我们的研究强调了城乡地区脑癌死亡率的差异，特别是在55-64岁和65-74岁的个体、男性和白种人当中。未来的研究必须采用多方面的方法，整合更新的数据集并采用更精细的个体层面信息。此外，迫切需要探索诸如获得医疗保健的机会、治疗方式、遗传易感性和社会经济决定因素等各种因素对死亡率结果的相互作用。
