儿童突肉瘤的流行病学,发病率和生存率:一个SEER数据库分析分析
Dongsheng Zhu1,2, Wen Zheng1, Zhitao Zhu3
1Department of Orthopedics, Children's Hospital of Soochow University, Suzhou, China.
Translational pediatrics
|August 15, 2024
概括
化疗和先进的SEER阶段对儿科突肉瘤 (SS) 的存活率产生负面影响. 一种预测性诺米图表在预测患有这种罕见癌症的儿童的生存结果方面表现出很好的准确性.
科学领域:
- 儿科瘤学 儿科瘤学
- 骨系统新生体
- 软组织肉瘤 (软组织肉瘤)
背景情况:
- 突肉瘤 (SS) 是一种罕见的恶性软组织瘤,主要影响青少年和年轻成年人,占软组织肉瘤的5-10%.
- 了解生存率和风险因素对于改善儿科SS病例的结果至关重要.
- 监测,流行病学和最终结果 (SEER) 数据库为基于人口的癌症研究提供了有价值的数据.
研究的目的:
- 为了评估当前儿童突肉瘤的存活率.
- 确定与被诊断患有SS.儿童的生存相关的危险因素.
- 开发儿童患者SS预后的预测模型.
主要方法:
- 来自SEER数据库的130个儿科SS病例的回顾性分析.
- 卡普兰-梅尔分析用于评估基于各种临床因素的整体和癌症特异性存活率.
- 多变量考克斯回归和名图构造被用于预后因素识别和预测.
主要成果:
- 儿童SS预后较差的因素包括年龄较大,男性性别,没有手术,化疗,软组织主要部位和远程SEER阶段.
- 多变量分析确定化疗和远程SEER阶段作为不利预后的独立指标.
- 开发并验证了一种预测性名谱,在预测1年,5年和10年生存率方面表现出良好的一致性.
结论:
- 化疗和先进的SEER阶段与儿科突肉瘤的整体和癌症特异性生存率较差显著相关.
- 开发的诺米图有效预测SS儿童的预后,有助于临床决策.
- 进一步的研究可能将重点放在基于已识别的预后因素优化治疗策略上.
更多相关视频
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
233
07:31A Syngeneic Orthotopic Osteosarcoma Sprague Dawley Rat Model with Amputation to Control Metastasis Rate
Published on: May 3, 2021
3.6K
相关概念视频
01:21Cancer Survival Analysis
334
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...
334
01:03Rous Sarcoma Virus (RSV) and Cancer
5.0K
Rous Sarcoma virus or RSV was discovered by F. Peyton Rous in the year 1911 as a filterable transmissible agent that could cause tumors in chickens. He won a Nobel Prize for this discovery in 1966. His experiments clearly demonstrated that some cancers could be caused by infectious agents and led to the discovery of many more cancer-causing viruses in animals as well as humans.
RSV is a retrovirus that contains two copies of a plus-strand RNA genome. Its genome consists of four main open...
RSV is a retrovirus that contains two copies of a plus-strand RNA genome. Its genome consists of four main open...
5.0K
01:20Actuarial Approach
69
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,...
69
01:18Introduction To Survival Analysis
199
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
199
01:20Comparing the Survival Analysis of Two or More Groups
164
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...
164