Schechtman K B, Gordon M O
Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri 63110.
J Biopharm Stat. 1994 Jul;4(2):223-32. doi: 10.1080/10543409408835085.
Treatment side effects and associated noncompliance have methodological implications vital to the testing of new drugs. In this paper, we quantify the impact of these factors on sample size requirements in clinical trials. In the Lipid Research Clinics Trial, side effects caused treatment group compliance (50.8%) to be lower than placebo compliance (67.3%). Cholesterol reduction among treatment noncompliers was 35.2% of the reduction among compliers. Had treatment group compliance been as high as placebo compliance, 41% fewer patients would have been required to achieve the same statistical power and an expected 31% more coronary events would have been prevented. We conclude: Because they discourage patient compliance, treatment side effects can (1) cause large sample size increases, (2) lead to underestimates of true efficacy, and (3) contribute to potentially invalid negative conclusions in clinical trials. The impact of side effects goes well beyond the complications and patient discomforts with which they are associated.
治疗副作用及相关的不依从性具有对新药测试至关重要的方法学意义。在本文中,我们量化了这些因素对临床试验样本量要求的影响。在脂质研究临床中心试验中,副作用导致治疗组的依从性(50.8%)低于安慰剂组的依从性(67.3%)。治疗不依从者的胆固醇降低幅度是依从者降低幅度的35.2%。如果治疗组的依从性与安慰剂组的依从性一样高,那么要达到相同的统计效力所需的患者数量将减少41%,并且预计可多预防31%的冠状动脉事件。我们得出结论:由于治疗副作用会降低患者的依从性,所以它们会(1)导致样本量大幅增加,(2)导致对真实疗效的低估,以及(3)在临床试验中促成潜在无效的阴性结论。副作用的影响远不止于与之相关的并发症和患者不适。