Stafford Kristen A, Boutin Mallory, Evans Scott R, Harris Anthony D
Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore.
Department of Biostatistics and Center for Biostatistics in AIDS Research, Harvard School of Public Health, Boston, Massachusetts.
Clin Infect Dis. 2014 Oct 15;59(8):1142-7. doi: 10.1093/cid/ciu486. Epub 2014 Jun 30.
The discovery and development of new antimicrobials is critically important, especially as multidrug-resistant bacteria continue to emerge. Little has been written about the epidemiological issues in nonrandomized trials aiming to evaluate the superiority of one antibiotic over another. In this manuscript, we outline some of the methodological difficulties in demonstrating superiority and discuss potential approaches to these problems. Many of the difficulties arise due to confounding by indication, which we define and explain. Epidemiological methods including restriction, matching, stratification, multivariable regression, propensity scores, and instrumental variables are discussed.
新型抗菌药物的发现与研发至关重要,尤其是在多重耐药菌不断出现的情况下。针对旨在评估一种抗生素优于另一种抗生素的非随机试验中的流行病学问题,相关论述较少。在本论文中,我们概述了证明优越性方面的一些方法学困难,并讨论了解决这些问题的潜在方法。许多困难是由指征性混杂因素导致的,我们对其进行了定义和解释。文中还讨论了包括限制、匹配、分层、多变量回归、倾向得分和工具变量在内的流行病学方法。