Mahr Alfred, Golmard Clara, Pham Emilie, Iordache Laura, Deville Laure, Faure Pierre
Department of Internal Medicine, Hospital Saint-Louis, University Paris Diderot, Paris, France.
ECSTRA Team, Epidemiology and Biostatistics, Sorbonne Paris Cité Research Center UMR 1153, Inserm, Paris, France.
Pharmacoepidemiol Drug Saf. 2017 Jul;26(7):731-741. doi: 10.1002/pds.4169. Epub 2017 Feb 7.
Scarce studies analyzing adverse event (AE) data from randomized placebo-controlled clinical trials (RPCCTs) of selected illnesses suggested that a substantial proportion of collected AEs are unrelated to the drug taken. This study analyzed the nonspecific AEs occurring with active-drug exposure in RPCCTs for a large range of medical conditions.
Randomized placebo-controlled clinical trials published in five prominent medical journals during 2006-2012 were searched. Only trials that evaluated orally or parenterally administered active drugs versus placebo in a head-to-head setting were selected. For AEs reported from ≥10 RPCCTs, Pearson's correlation coefficients (r) were calculated to determine the relationship between AE rates in placebo and active-drug recipients. Random-effects meta-analyses were used to compute proportions of nonspecific AEs, which were truncated at a maximum of 100%, in active-drug recipients.
We included 231 trials addressing various medical domains or healthy participants. For the 88 analyzed AE variables, AE rates for placebo and active-drug recipients were in general strongly correlated (r > 0.50) or very strongly correlated (r > 0.80). The pooled proportions of nonspecific AEs for the active-drug recipients were 96.8% (95%CI: 95.5-98.1) for any AEs, 100% (97.9-100) for serious AEs, and 77.7% (72.7-83.2) for drug-related AEs. Results were similar for individual medical domains and healthy participants. The pooled proportion of nonspecificity of 82 system organ class and individual AE types ranged from 38% to 100%.
The large proportion of nonspecific AEs reported in active-drug recipients of RPCCTs, including serious and drug-related AEs, highlights the limitations of clinical trial data to determine the tolerability of drugs. Copyright © 2017 John Wiley & Sons, Ltd.
少数针对特定疾病的随机安慰剂对照临床试验(RPCCT)的不良事件(AE)数据分析表明,所收集的不良事件中有很大一部分与所服用药物无关。本研究分析了在RPCCT中,针对多种医疗状况使用活性药物时出现的非特异性不良事件。
检索了2006年至2012年期间在五家著名医学期刊上发表的随机安慰剂对照临床试验。仅选择在直接对比中评估口服或胃肠外给予活性药物与安慰剂的试验。对于来自≥10项RPCCT报告的不良事件,计算Pearson相关系数(r)以确定安慰剂组和活性药物组接受者的不良事件发生率之间的关系。采用随机效应荟萃分析来计算活性药物组接受者中非特异性不良事件的比例,最高截断为100%。
我们纳入了231项涉及各种医学领域或健康参与者的试验。对于88个分析的不良事件变量,安慰剂组和活性药物组接受者的不良事件发生率总体上呈强相关(r>0.50)或非常强相关(r>0.80)。活性药物组接受者中非特异性不良事件的合并比例为:任何不良事件为96.8%(95%CI:95.5 - 98.1),严重不良事件为100%(97.9 - 100),药物相关不良事件为77.7%(72.7 - 83.2)。各个医学领域和健康参与者的结果相似。82个系统器官类别和个体不良事件类型的非特异性合并比例范围为38%至100%。
RPCCT活性药物组接受者报告的非特异性不良事件比例很高,包括严重不良事件和药物相关不良事件,这凸显了临床试验数据在确定药物耐受性方面的局限性。版权所有©2017约翰威立父子有限公司。