一种测试方法用于识别前性控制临床治疗试验中的选择偏差风险,使用I2点估计
Steffen Mickenautsch1,2, Veerasamy Yengopal1
1Dentistry, University of the Western Cape, Cape Town, ZAF.
Cureus
|June 17, 2024
概括
一种新的测试方法准确地识别了临床试验中的选择偏差风险. 它正确标记了队列研究,但没有随机对照试验 (RCT),有助于试验评估.
科学领域:
- 临床试验方法论 临床试验方法论
- 生物统计学 生物统计学
- 基于证据的医学是基于证据的医学.
背景情况:
- 选择偏见对临床试验结果的有效性构成重大威胁.
- 准确识别选择偏差风险对于可靠的证据评估至关重要.
- 现有的偏差评估方法可能需要对前性研究进行改进.
研究的目的:
- 提出和验证一种新的测试方法,以识别潜在的选择偏差风险.
- 评估拟议方法对未来的受控临床治疗试验的适用性.
- 为试验审稿人提供一个工具,用于评估研究设计中的偏见.
主要方法:
- 为评估选择偏差风险,开发了一种详细的测试方法.
- 该方法在16项研究中进行了评估:八项随机对照试验 (RCT) 和八项前性对照队列研究.
- 通过文献搜索系统地确定了研究,RCT作为负控制和队列研究作为积极控制.
主要成果:
- 拟议的测试方法在所有八个随机对照试验中都产生了负结果.
- 在八项前性受控队列研究中,有六项取得了积极结果.
- 测试结果与两种研究设计的预期结果一致,表明准确性很好.
结论:
- 该测试方法在识别潜在的选择偏差风险方面表现出相当高的准确性.
- 该方法为评估期间具有高选择偏差风险的评级试验提供了经验基础.
- 它没有量化偏差风险对试验结果的影响,但有助于风险评估.
更多相关视频
08:36Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
Published on: April 19, 2024
491
00:04A Clinical Trial Assessing the Safety, Efficacy, and Delivery of Olive-Oil-Based Three-Chamber Bags for Parenteral Nutrition
Published on: September 20, 2019
10.7K
相关概念视频
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
125
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,...
125
Accuracy and Errors in Hypothesis Testing
193
Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
193
Hazard Ratio
111
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...
111
Blinding
2.4K
Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
2.4K
Bias in Epidemiological Studies
238
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
238
Blind Procedures
10.6K
Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
10.6K
