佛罗里达州男性消防员肺癌生存率
Tulay Koru-Sengul1,2, Paulo S Pinheiro1,2, Wei Zhao2
1Department of Public Health Sciences, University of Miami, Leonard M. Miller School of Medicine, Miami, FL, United States.
Frontiers in oncology
|September 4, 2023
概括
与其他职业相比,消防员的肺癌存活率明显更高. 这种改善的生存率在职业和志愿消防员中都被观察到,两组之间没有显著差异.
科学领域:
- 流行病学 流行病学
- 职业健康 职业健康 职业健康
- 在瘤学瘤学.
背景情况:
- 肺癌是美国癌症发病率和死亡率的主要原因之一.
- 消防员接触到许多致癌物质,但缺乏全面的生存数据.
- 现有研究尚未充分研究职业和志愿消防员之间的肺癌生存率差异.
研究的目的:
- 为了比较消防员与其他职业群体的肺癌特定原因生存率.
- 调查职业和志愿消防员之间的潜在生存差异.
- 在消防职业中确定导致肺癌生存的因素.
主要方法:
- 利用来自佛罗里达州癌症数据系统 (1981-2014) 的数据与消防员认证记录联系在一起.
- 采用考克斯回归模型来比较肺癌特定原因生存率.
- 计算调整的危险比率 (aHR) 和95%置信区间 (95% CI) 来评估生存差异.
主要成果:
- 消防员 (n=761) 的5年肺癌存活率比非消防员 (23.8%) 高 (29.7%).
- 与非消防员相比,消防员的特定原因生存率 (aHR = 0.84;p < 0.001) 显著更好.
- 在职业和志愿消防员之间没有发现肺癌存活率的显著差异 (aHR = 1.14; p = 0.213).
结论:
- 与其他职业群体相比,消防员的肺癌存活率更高.
- 诸如健康工人效应,更低的吸烟率和更好的治疗坚持等因素可能解释了消防员生存率的提高.
- 职业和志愿消防员之间没有显著的生存差异,这表明该行业的统一积极结果.
更多相关视频
04:04Endobronchial Ultrasound-guided Intratumoral Injection of Cisplatin for the Treatment of Isolated Mediastinal Recurrence of Lung Cancer
Published on: February 12, 2017
10.5K
07:25A Bioluminescent and Fluorescent Orthotopic Syngeneic Murine Model of Androgen-dependent and Castration-resistant Prostate Cancer
Published on: March 6, 2018
13.1K
相关概念视频
01:21Cancer Survival Analysis
381
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...
381
01:25Statistical Methods for Analyzing Epidemiological Data
408
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
408
01:20Comparing the Survival Analysis of Two or More Groups
222
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...
222
02:59Cancer 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
01:19The Mantel-Cox Log-Rank Test
421
The Mantel-Cox log-rank test is a widely used statistical method for comparing the survival distributions of two groups. It tests whether a statistically significant difference exists in survival times between the groups without assuming a specific distribution for the survival data, making it a non-parametric test. This flexibility makes the log-rank test particularly valuable in medical research and other fields where the timing of an event, such as death or disease recurrence, is of...
421