荷兰青少年和年轻成人患有固体恶性瘤的5年条件相对存活率:基于人口的队列研究
Noelle J M C Vrancken Peeters1,2, Daniël J van der Meer1, Bo Wardenier1
1Department of Medical Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek, Amsterdam, the Netherlands.
The Lancet regional health. Europe
|October 24, 2025
概括
青少年和年轻成年癌症幸存者在诊断后四年内达到最小的过剩死亡率. 这一发现支持修订"被遗忘的权利"法律,以更好地满足AYA癌症幸存者的需求.
科学领域:
- 在瘤学瘤学.
- 公共卫生 公共卫生
- 卫生政策 卫生政策
背景情况:
- 青少年和年轻成人 (AYA) 癌症幸存者面临着重新融入社会挑战.
- 癌症病史的披露通常需要在康复后的几年内向保险申请.
- 现有的被遗忘权 (RTBF) 法律可能无法充分满足AYA的特定需求.
研究的目的:
- 检查AYA固体恶性瘤幸存者的长期条件相对存活率 (CRS).
- 为AYA癌症幸存者提供RTBF法律的潜在调整信息.
- 评估目前的RTBF法规是否通过将AYA与老年患者分组而使AYA处于不利地位.
主要方法:
- 利用了来自荷兰癌症登记处 (NCR) 的数据,用于1998年至2021年间诊断的侵入性固体恶性瘤.
- 在AYA队列中,每年计算五年CRS,直到诊断后十年.
- 按性别,年龄和癌症类型进行分层分析.
主要成果:
- 整体AYA固体恶性瘤幸存者队列 (n=71,973) 在诊断后四年内达到最小的过度死亡率 (CRS>95%).
- 特定的AYA癌症,如生殖细胞瘤,黑色素瘤,甲状腺,皮肤癌和NETs显示出诊断后的死亡率极小.
- 大多数其他癌症类型在5到10年内达到95%的CRS值.
结论:
- 研究结果表明,荷兰目前的RTBF法规可能需要对AYA固体恶性瘤幸存者进行重新评估.
- 对RTBF法律的调整可以防止对AYA的潜在财务歧视.
- 这项研究对其他欧洲国家的RTBF政策有影响.
相关概念视频
01:21Cancer Survival Analysis
645
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...
645
01:12Relative Risk
2.0K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.0K
01:20Actuarial Approach
286
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,...
286
01:15Assumptions of Survival Analysis
391
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.
391
02:56Treatment Resistant Cancers
3.7K
Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
3.7K
01:20Comparing the Survival Analysis of Two or More Groups
551
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...
551