权重累积暴露方法及其在药理流行病学中的应用:叙述性综述
Thu-Lan Kelly1, Amy Salter2, Nicole L Pratt1
1Quality Use of Medicines and Pharmacy Research Centre, Clinical and Health Sciences, University of South Australia, Adelaide, Australia.
Pharmacoepidemiology and drug safety
|September 25, 2023
概括
权重累积暴露 (WCE) 方法为暴露时间,持续时间和强度如何影响健康结果提供了先进的见解. 这种以数据为导向的方法,利用灵活的线条,提供了比药理流行病学中传统方法更好的模型匹配.
科学领域:
- 药理流行病学 药理流行病学
- 生物统计学 生物统计学
- 健康 结果 研究 研究 结果
背景情况:
- 权重累积暴露 (WCE) 方法考虑了风险评估中的暴露强度,持续时间和时间.
- 它采用数据驱动的方法,具有灵活的立方B-splines来权衡过去的剂量并选择适当的时间窗口.
- 在现实研究中,WCE可以对常见的暴露模式进行风险预测.
研究的目的:
- 描述WCE方法在药理流行病学中的应用.
- 评估WCE方法在这个领域的优势和局限性.
主要方法:
- 使用PubMed和谷歌学者/Scopus进行了文献搜索.
- 文章的选择是基于搜索术语"加权累积暴露"和引用Sylvestre等的文章. (2009年) 的时间.
- 评审文章是根据标题和摘要评审选择的,截至2023年3月.
主要成果:
- 确定了WCE方法的17个临床应用,包括病例控制和队列研究.
- 大多数研究 (12/14) 使用了考克斯的比例危险模型,其中13项使用了1年或更长的时间窗口.
- 与传统模型相比,91% (10/11) 的研究发现WCE模型与WCE模型相匹配.
结论:
- WCE方法提供了更深入的见解,包括时间和剂量在内的累积暴露对健康结果的影响.
- 它的灵活性有利于建模长期,时间变化的暴露和延迟效应.
- 标准化报告可以提高WCE方法结果的解释,这可能比传统模型更复杂.
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