第三阶段癌症临床试验中的比例危险违规行为:试验误解的潜在来源
Timothy A Lin1,2, Zachary R McCaw3,4, Alex Koong1
1Division of Radiation Oncology, Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
概括
在癌症试验中,比例危险违规 (PHV) 是常见的,影响了23.8%的分析. 这些违规行为可能导致对生存数据的误解,突出需要更好的统计规划.
科学领域:
- 临床试验 临床试验
- 生物统计学 生物统计学
- 瘤学研究研究
背景情况:
- 瘤学中的生存分析通常涉及具有长期反应者的新药.
- 随着时间的推移,可能会发生不同的危险率,称为比例危险违规 (PHV).
- PHVs可能会降低日志等级测试的统计能力,并导致对临床试验结果的误解.
研究的目的:
- 为了确定PHVs在III期瘤学试验中的发病率.
- 确定与PHV相关的研究属性.
- 评估限制平均存活时间和最大组合试验作为替代分析的实用性.
主要方法:
- 搜索了clinicaltrials.gov和pubmed的第三阶段随机癌症试验,时间到事件终点发布到2020年.
- 从已发表的卡普兰-梅尔曲线中重建患者级数据.
- 通过使用Schoenfeld残留物评估PHV.
主要成果:
- 分析了来自341个试验的357个卡普兰-梅尔比较 (292,831名患者).
- 在23.8%的比较中确定了PHV.
- 非总生存终点 (OR,2.16) 和免疫疗法比较 (OR,1.94) 与PHVs的更高几率有关. 只有29.4%的PHV试验预先指定了解决它们的计划.
结论:
- 在各种癌症治疗类型中,PHVs很普遍.
- 在试验设计中缺乏PHV的统计规划,可能导致对结果的误解.
- 像限制平均存活时间这样的替代分析可能会在PHV试验中揭示不一致的信号.
相关概念视频
Hazard Ratio
106
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
For example, in a clinical trial...
106
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
124
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
124
Clinical Trials
6.6K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
There are four phases in a clinical trial. A phase one...
6.6K
Hazard Rate
96
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
96
Comparing the Survival Analysis of Two or More Groups
166
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...
166
Assumptions of Survival Analysis
114
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.
114


