Yu Ron, Coleman Daniel A
Clinical Biostatistics, Genentech, Inc., United States.
Nonclinical Biostatistics, Genentech, Inc., United States.
Contemp Clin Trials Commun. 2015 Oct 26;1:22-27. doi: 10.1016/j.conctc.2015.10.001. eCollection 2015 Oct 30.
Most blinded, late stage, randomized clinical trials package study drug, active or placebo, into drug kits for distribution to investigational sites. Drug kits enable investigators to administer study drug to subjects in a blinded manner without the assistance of an unblinded pharmacist. Supply methods determine when and how many kits to send to sites. If not properly designed, these methods can partially unblind investigators, i.e., investigators can conclude that two subjects are (1) on the same treatment arm with certainty or (2) on different treatment arms with certainty. Partial unblinding can bias the way investigators provide patient care, report adverse events and assess efficacy endpoints, and can lead to full unblinding when the other subject is unblinded. In this paper, we describe several examples of partial unblinding in the supply methods commonly used by many Randomization and Trial Supply Management (RTSM) systems, propose a new criterion for evaluating the blinding properties of supply methods, and prove that two alternative supply methods do not permit full or partial unblinding, even after the investigator is unblinded up to a certain number of other subjects.
大多数盲法、晚期、随机临床试验将研究药物(活性药物或安慰剂)包装成药盒,分发给研究站点。药盒使研究人员能够在不借助非盲态药剂师的情况下以盲法向受试者给药。供应方法决定了何时以及向站点发送多少药盒。如果设计不当,这些方法可能会使研究人员部分破盲,即研究人员可以确定两名受试者(1)肯定在同一治疗组或(2)肯定在不同治疗组。部分破盲可能会使研究人员提供患者护理、报告不良事件和评估疗效终点的方式产生偏差,并且当另一名受试者破盲时可能导致完全破盲。在本文中,我们描述了许多随机化和试验供应管理(RTSM)系统常用的供应方法中部分破盲的几个例子,提出了一种评估供应方法盲法特性的新标准,并证明了两种替代供应方法即使在研究人员对一定数量的其他受试者破盲后也不会允许完全或部分破盲。