临床医生关于SEER口腔癌生存率计算器的关键点
Louise Davies1,2, Benjamin F Hankey3, Zhuoqiao Wang4
1VA Outcomes Group, US Department of Veterans Affairs Medical Center, White River Junction, Vermont.
JAMA otolaryngology-- head & neck surgery
|July 10, 2023
概括
口腔癌患者面临来自其他健康状况的重大风险,而不仅仅是他们的癌症. 一个新的计算器有助于估计生存率,考虑癌症和竞争风险,以获得更好的患者护理.
科学领域:
- 在瘤学瘤学.
- 公共卫生 公共卫生
- 生物统计学 生物统计学
背景情况:
- 癌症患者往往有并发症,这会显著影响存活率.
- 口腔癌患者经常接触酒精和烟草,面临来自竞争死亡原因的高风险.
- 这些相互竞争的风险可能与癌症本身一样危及生命,甚至比癌症本身更危及生命.
研究的目的:
- 为公众推出一种新型计算器,用于估计口腔癌患者的存活率.
- 为提供健康状况调整后的年龄,预期寿命和因口腔癌死亡的概率与其他原因的个性化预测.
- 强调在口腔癌预后中考虑竞争风险的重要性.
主要方法:
- 开发一个计算器,利用来自监测,流行病学和最终结果 (SEER) 计划的数据.
- 在预后模型中包括患者年龄 (20-86岁) 和癌症阶段.
- 统计技术允许分析两个时间尺度 (癌症特异性死亡和其他原因死亡).
主要成果:
- 与美国普通人口相比,患有口腔癌的患者因癌症以外的其他原因死亡的风险高于平均水平.
- 这种竞争性死亡率的高风险随着口腔癌的发展阶段而增加.
- 该计算器提供了诊断后1至10年内生存概率的估计.
结论:
- SEER口腔癌生存率计算器通过同等权衡癌症特异性和竞争性死亡风险,促进了对患者护理的整体方法.
- 这个工具可以与现有的口腔癌预后计算器一起使用.
- 该计算器例证了将注册表数据与先进的统计方法联系起来,以进行全面的生存分析的潜力.
相关概念视频
Cancer Survival Analysis
394
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...
394
Actuarial Approach
98
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
98
Survival Curves
205
Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
205
Comparing the Survival Analysis of Two or More Groups
226
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...
226
Kaplan-Meier Approach
188
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,...
188
Cancer Prevention
6.2K
Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
Some...
6.2K


