双重数据提取对证据合成错误的影响:交叉,多中心,调查者盲目的随机对照试验
Lijun Tang1,2,3, Ruoxi Wang1,2,3, Suhail A R Doi4
1MOE Key Laboratory of Population Health Across Life Cycle, Anhui Medical University, No. 81 of Meishan Road, Hefei, Anhui, 230032, China.
双重数据提取减少了证据综合中的错误,但率仍然很高. 可能需要三重数据提取,以进一步减少药物和非药物干预研究中的错误.
科学领域:
- 基于证据的医学是基于证据的医学.
- 系统审查是系统的审查.
- 健康研究方法的方法论.
背景情况:
- 数据提取对于证据合成至关重要.
- 数据提取中的高错误率可能会损害系统审查的结果.
- 双提取在减少错误方面的有效性需要研究.
研究的目的:
- 评估双重数据提取在减少证据综合过程中的错误方面的有效性.
- 为了比较药物和非药物干预审查之间的错误率.
- 评估交叉检查过程对数据准确性的影响.
主要方法:
- 采用了一个交叉随机对照试验 (RCT) 设计.
- 参与者对药物或非药物干预的RCT进行了数据提取.
- 在双重提取 (交叉检查) 过程之前和之后评估了错误率.
主要成果:
- 最初的错误率很高,在研究水平上,药物干预率为64.65%,非药物干预率为59.90%.
- 双重提取将错误率降低到分别为44.88%和39.54%.
- 尽管减少了,但仍然存在显著的错误率,这表明进一步改进的潜力.
结论:
- 双重数据提取有效地减少了证据合成中的错误,但并没有消除它们.
- 高剩余错误率表明,目前的双重提取方法可能不足.
- 三重数据提取被提议作为一种潜在的策略,以进一步提高系统审查中的数据准确性.
更多相关视频
06:55Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
08:36Author Spotlight: Evaluating the Adjuvant Efficacy and Safety of Angong Niuhuang Pill in Viral Encephalitis Treatment
Published on: April 19, 2024
相关概念视频
Blind Procedures
Data Collection by Experiments
An example of the experimental method is a public clinical trial...
Crossover Experiments
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Blinding
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
