年龄不会影响癌症特异性死亡率:从RCC患者的亚分布和因果特异性危险分析中,接受了激进切除术和血栓切除术
Younjuong Kim1, Jun Gyo Gwon2, Hyun Young Lee1
1Department of Urology, Asan Medical Center, Ulsan University College of Medicine, Seoul, South Korea.
Clinical genitourinary cancer
|October 30, 2024
概括
由于细胞癌而接受激进切除术与血栓切除术的老年患者面临更高的其他原因死亡率,但不是癌症特异性死亡率. 年龄不是这种手术的禁忌.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 在瘤学瘤学.
- 老年医学 老年医学
背景情况:
- 带有血栓切除的激进切除术 (RNTx) 是治疗带有静脉血栓的细胞癌 (RCC) 的一种治疗方法.
- 患者年龄对RNTx后结果的影响需要进一步调查.
研究的目的:
- 为了评估年龄对癌症特异性死亡率 (CSM) 和其他原因死亡率 (OCM) 的影响,在接受RNTx进行静脉血栓性RCC的患者中.
主要方法:
- 对196名患者进行RNTx进行静脉血栓RCC的回顾性分析 (1990-2018).
- 患者分为三个年龄组:<60,60-69岁和≥70岁.
- 用于评估死亡率的累积发病率函数和分分布性危险/因果特异性危险模型.
主要成果:
- 在所有年龄组中,外科手术后的结果都相似.
- 在不同年龄组之间观察到5年癌症特异性死亡率 (CSM) 的显著差异,但在10岁时没有.
- 其他原因死亡率 (OCM) 随着年龄的增长而显著增加,特别是在10岁时≥70岁的患者中.
- 在使用多变量模型的年龄组之间没有发现CSM的显著差异.
结论:
- 增加其他原因的死亡率 (OCM) 与接受RNTx治疗细胞癌 (RCC) 与静脉血栓的患者的年龄增加有关.
- 仅仅年龄不应阻止患者接受静脉血栓RCC的手术干预.
相关概念视频
Cancer Survival Analysis
328
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...
328
Comparing the Survival Analysis of Two or More Groups
155
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...
155
Actuarial Approach
63
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,...
63
Assumptions of Survival Analysis
97
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
97
Kaplan-Meier Approach
102
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,...
102
Adaptive Mechanisms in Cancer Cells
5.7K
Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
5.7K


