医疗保健获取维度和子宫癌存活率:国家癌症数据库研究研究
Mary Katherine Anastasio1, Anjali Gupta2,3, Tomi F Akinyemiju2
1Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC, United States.
Frontiers in oncology
|October 23, 2023
概括
患有晚期子宫癌的黑人患者面临着显著的生存差异. 获得医疗保健,特别是负担能力和可用性,会影响结果,但需要进一步的研究来解决癌症治疗中的种族不平等问题.
科学领域:
- 在瘤学瘤学.
- 医疗保健服务研究 医疗服务研究
- 健康差异 在健康上的差异
背景情况:
- 对于黑人患者来说,子宫癌诊断,治疗和生存的种族差异仍然存在.
- 有限的数据存在于医疗保健准入 (HCA) 维度对晚期子宫癌差异的影响.
研究的目的:
- 调查医疗保健准入尺寸如何影响黑人患有晚期子宫癌患者的生存差异.
- 分析HCA因子和非西班牙裔 (NH) - 黑人,西班牙裔和NH-白人患有III-IV期子宫癌患者的整体生存率之间的关系.
主要方法:
- 利用国家癌症数据库 (NCDB) 对40-89岁的患有III-IV期子宫癌的患者 (2004-2015).
- 使用NCDB变量评估HCA的负担能力,可用性和可访问性.
- 使用卡普兰-梅尔估计,日志等级测试和多变量考克斯比例危险模型进行生存分析.
主要成果:
- 黑人NH患者更有可能患有晚期 (第四阶段) 和侵袭性 (II型) 疾病.
- 黑人NH患者更频繁地拥有政府保险,生活在低收入地区,仅接受化疗.
- 私人保险和学术设施治疗预测了更好的生存率;NH-黑人患者的生存率更差 (HR 1.29) 即使在调整后.
结论:
- 在晚期子宫癌中,HCA的负担能力和可用性是生存预测因素.
- 种族差异加剧了NH黑人患者更具侵略性的疾病和更不全面的治疗.
- 探索额外的HCA维度对于减轻子宫癌差异至关重要.
更多相关视频
07:44Non-Invasive Ultrasound Assessment of Endometrial Cancer Progression in Pax8-Directed Deletion of the Tumor Suppressors Arid1a and Pten in Mice
Published on: February 17, 2023
1.5K
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
296
相关概念视频
01:21Cancer Survival Analysis
357
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
357
01:20Comparing the Survival Analysis of Two or More Groups
201
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
201
01:21Dimensions of Health and Illness
7.4K
The factors influencing the health-illness continuum can be internal or external and may or may not be under conscious control. They are related to the following eight human dimensions, and each dimension is interrelated to one other.
7.4K
01:24Kaplan-Meier Approach
154
The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
154