英国前列腺癌的发病率,患病率和存活率
Eng Hooi Tan1, Edward Burn1, Nicola L Barclay1
1Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, United Kingdom.
JAMA network open
|September 19, 2024
概括
在2000年至2021年期间,前列腺癌的发病率和患病率在英国随年龄增加. 高生存率凸显了严重的疾病负担,特别是在老龄化人口中.
科学领域:
- 在瘤学瘤学.
- 流行病学 流行病学
- 公共卫生 公共卫生
背景情况:
- 前列腺癌护理管理依赖于发生率,流行率和存活率数据.
- 了解这些指标对于资源配置和医疗保健规划至关重要.
研究的目的:
- 确定从2000年到2021年在英国的前列腺癌发病率,流行率和生存率.
- 分析按年龄和日历年分层的趋势.
主要方法:
- 一项基于人口的队列研究,利用来自临床实践研究数据链接 (CPRD) GOLD和Aurum的英国初级保健数据.
- 纳入标准:18岁以上的男性患者,有至少一年的病史.
- 对发病率 (IR),周期流行率 (PP) 和1年,5年,10年生存率的分析.
主要成果:
- 在2000年至2021年期间,前列腺癌发病率从每10万人年增加了109到159,在2004年和2018年达到峰值.
- 在研究期间,月经期的患病率增加了三倍以上,从0.4%上升到1.4%.
- 平均存活时间约为11年,1年,5年和10年的生存率分别为93-94%,72-73%和53-54%,随着时间的推移呈现出改善.
结论:
- 发病率和流行率随着年龄的增长而上升,这表明老年人群的疾病负担很大.
- 患病率的增加需要医疗保健系统的适应,以管理越来越多的前列腺癌幸存者.
- 高生存率凸显了老龄化人口中幸存者护理的重要性.
相关概念视频
Prevalence and Incidence
394
In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
394
Cancer 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
Disorders of the Male Reproductive System
358
Men's health issues are increasingly recognized as significant, with several conditions posing common threats. Among these, testicular cancer is especially prevalent in younger men, particularly those aged 20 to 35 years. The disease often manifests as a painless mass in the testicles, sometimes accompanied by a sensation of heaviness or a dull ache.
Prostate disorders are another major concern. These conditions can impair urinary flow due to the prostate's location around the urethra....
Prostate disorders are another major concern. These conditions can impair urinary flow due to the prostate's location around the urethra....
358
Comparing the Survival Analysis of Two or More Groups
162
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...
162
Actuarial Approach
68
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,...
68
Assumptions of Survival Analysis
110
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.
110


