侵袭性甲状腺外延伸和乳头甲状腺癌的存活率之间的因果推断:倾向性得分匹配和权重分析
Ming Xu1, Zihan Xi1, Qiuyang Zhao1
1Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Frontiers in endocrinology
|June 9, 2023
概括
甲状腺外延伸到其他器官是乳头甲状腺癌存活率的高风险因素. 侵入带肌肉也会影响老年患者或那些有较大的瘤的患者的生存率.
科学领域:
- 在瘤学瘤学.
- 手术病理学手术病理学
- 癌症预后 癌症预后
背景情况:
- 甲状腺外延伸 (ETE) 是已知的甲状腺 papillary 癌症 (PTC) 预后的风险因素.
- 不同程度的ETE对患者结果的影响仍在争论中.
- 这项研究研究了ETE程度和PTC预后之间的关系.
研究的目的:
- 为了澄清不同程度的甲状腺外延伸在乳头甲状腺癌的预后意义.
- 为了确定与较差的患者存活率相关的特定ETE范围.
- 分析影响ETE和PTC结果之间的关系的共变量.
主要方法:
- 对108,426名乳头甲状腺癌患者的回顾性分析.
- ETE的分类为没有,囊,皮带肌肉和其他器官.
- 应用治疗权重的逆概率,标准化死亡率权重和倾向性得分匹配以减少偏差.
- 卡普兰-梅尔和单变Cox回归分析用于生存评估.
主要成果:
- 在Kaplan-Meier分析中,ETE进入或超越皮带肌肉显著影响了整体生存率 (OS) 和甲状腺癌特异性生存率 (TCSS).
- 在考克斯回归分析中,ETE进入软组织或其他器官成为OS和TCSS的高风险因素.
- 敏感性分析确定年龄较大 (≥55) 和较大的瘤大小 (>2厘米) 是PTC中与ETE进入或超越皮带肌肉的较低OS相关的因素.
结论:
- 甲状腺外延伸到软组织或其他器官是所有乳头甲状腺癌患者的重要高风险因素.
- 虽然不是主要的不良预后标志物,但带肌中的ETE会对老年患者或患有较大的瘤的患者的生存系统产生负面影响.
- 需要进一步的研究来验证这些发现,并确定超出ETE的独立预后因素.
相关概念视频
Cancer Survival Analysis
402
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...
402
Comparing the Survival Analysis of Two or More Groups
228
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...
228
Kaplan-Meier Approach
197
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,...
197
Assumptions of Survival Analysis
160
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.
160
Actuarial Approach
101
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,...
101
Tumor Progression
6.4K
Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
6.4K


