Overlooked Shortcomings of Observational Studies of Interventions in Coronavirus Disease 2019: An Illustrated Review for the Clinician

被引:11
|
作者
Tleyjeh, Imad M. [1 ,2 ,3 ,4 ]
Kashour, Tarek [5 ]
Mandrekar, Jay [6 ]
Petitti, Diana B. [7 ]
机构
[1] King Fahad Med City, Infect Dis Sect, Dept Med Specialties, Riyadh, Saudi Arabia
[2] Mayo Clin, Div Infect Dis, Coll Med & Sci, Rochester, MN USA
[3] Mayo Clin, Div Epidemiol, Coll Med & Sci, Rochester, MN USA
[4] Alfaisal Univ, Coll Med, Riyadh, Saudi Arabia
[5] King Saud Univ, King Saud Univ Med City, King Fahad Cardiac Ctr, Dept Cardiac Sci, Riyadh, Saudi Arabia
[6] Mayo Clin, Dept Biostat, Coll Med & Sci, Rochester, MN USA
[7] Univ Arizona, Dept Biomed Informat, Coll Med, Phoenix, AZ USA
来源
OPEN FORUM INFECTIOUS DISEASES | 2021年 / 8卷 / 08期
关键词
bias; confounding; observational studies; PROPENSITY SCORE METHODS; TIME-DEPENDENT BIAS; CONTROLLED-TRIALS; COVID-19;
D O I
10.1093/ofid/ofab317
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
The rapid spread of severe acute respiratory syndrome coronavirus 2 infection across the globe triggered an unprecedented increase in research activities that resulted in an astronomical publication output of observational studies. However, most studies failed to apply fully the necessary methodological techniques that systematically deal with different biases and confounding, which not only limits their scientific merit but may result in harm through misleading information. In this article, we address a few important biases that can seriously threaten the validity of observational studies of coronavirus disease 2019 (COVID-19). We focus on treatment selection bias due to patients' preference on goals of care, medical futility and disability bias, survivor bias, competing risks, and the misuse of propensity score analysis. We attempt to raise awareness and to help readers assess shortcomings of observational studies of interventions in COVID-19.
引用
收藏
页数:8
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