[基于范围审查的药物流行病学研究中时间相关偏差的识别过程]
S W Deng1, H Y Zhao2, S Y Zhan3
1Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Institute for Artificial Intelligence, Peking University, Beijing 100871, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China.
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
|September 22, 2024
概括
与时间相关的偏差在糖尿病药物流行病学研究中很常见,可能会影响结果. 这项研究开发了一种识别和减轻这些偏见的过程,提高了研究可靠性.
科学领域:
- 药理流行病学 药理流行病学
- 糖尿病研究 糖尿病研究
- 生物统计学 生物统计学
背景情况:
- 药物流行病学研究对于了解患者群体中药物安全性和有效性至关重要.
- 与时间相关的偏差可以显著扭曲观察性研究的结果,特别是在糖尿病等慢性疾病中.
- 现有的文献缺乏系统的方法来识别和解决这些偏差在糖尿病药理学和流行病学研究.
研究的目的:
- 关于研究设计和分析,对糖尿病患者进行的近期药学流行病学研究的特征.
- 开发一个全面的过程,以识别与时间相关的偏差在这个领域.
- 提高糖尿病药物安全性和有效性研究产生的证据的可靠性.
主要方法:
- 在PubMed,Embase,CNKI和Wanfang数据库 (2012-2022) 的系统文献搜索.
- 由两个审查员进行独立选和数据提取.
- 基于文献审查和偏见机制的时间相关偏见识别过程的开发.
主要成果:
- 包括281项研究;20.64%明确提到与时间相关的偏见.
- 偏差识别的关键因素包括数据源,研究设计,对照选择,冲洗/延迟期和统计方法.
- 开发了一个详细的识别过程,包括各种设计和分析元素.
结论:
- 与时间相关的偏见在糖尿病药物流行病学研究中普遍存在,并可能影响研究结果.
- 开发的识别过程为研究人员提供了一个结构化的方法来检测和避免这些偏见.
- 实施这一过程可以提高糖尿病药物流行病学证据的质量和可靠性.
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