利用电子健康记录数据解决 COVID 之后新发 2 型糖尿病研究中常见的偏差来源问题

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-12-14 DOI:10.1016/j.deman.2023.100193

Jessica L Harding , Emily Pfaff , Edward Boyko , Pandora L. Wander

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引用次数: 0

摘要

基于电子健康记录（EHR）建立的队列进行的观察性研究是我们目前了解 COVID 后新发糖尿病风险的基础。基于电子病历的研究是医学研究的有力工具，但也受到多种偏倚来源的影响。在这一观点中，我们定义了威胁基于电子病历的相关研究有效性的主要偏倚来源（即误分类、选择、监测、不朽时间和混杂偏倚），描述了它们的影响，并提出了在 COVID-糖尿病研究中避免这些偏倚的最佳实践。

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Addressing common sources of bias in studies of new-onset type 2 diabetes following COVID that use electronic health record data

Observational studies based on cohorts built from electronic health records (EHR) form the backbone of our current understanding of the risk of new-onset diabetes following COVID. EHR-based research is a powerful tool for medical research but is subject to multiple sources of bias. In this viewpoint, we define key sources of bias that threaten the validity of EHR-based research on this topic (namely misclassification, selection, surveillance, immortal time, and confounding biases), describe their implications, and suggest best practices to avoid them in the context of COVID-diabetes research.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.