Consistent superiority of selective serotonin reuptake inhibitors over placebo in reducing depressed mood in patients with major depression

氟西汀 帕罗西汀 安慰剂 舍曲林 西酞普兰 抗抑郁药 心情 心理学 再摄取抑制剂 评定量表 精神科 萧条(经济学) 5-羟色胺再摄取抑制剂 汉密尔顿抑郁量表 重性抑郁障碍 依西酞普兰 内科学 医学 血清素 焦虑 发展心理学 受体 替代医学 宏观经济学 病理 经济
作者
Fredrik Hieronymus,J. F. Emilsson,Staffan Nilsson,Elias Eriksson
出处
期刊:Molecular Psychiatry [Springer Nature]
卷期号:21 (4): 523-530 被引量:170
标识
DOI:10.1038/mp.2015.53
摘要

The recent questioning of the antidepressant effect of selective serotonin reuptake inhibitors (SSRIs) is partly based on the observation that approximately half of company-sponsored trials have failed to reveal a significant difference between active drug and placebo. Most of these have applied the Hamilton depression rating scale to assess symptom severity, the sum score for its 17 items (HDRS-17-sum) serving as effect parameter. In this study, we examined whether the negative outcomes of many SSRI trials may be partly caused by the use of this frequently questioned measure of response. We undertook patient-level post-hoc analyses of 18 industry-sponsored placebo-controlled trials regarding paroxetine, citalopram, sertraline or fluoxetine, and including in total 6669 adults with major depression, the aim being to assess what the outcome would have been if the single item depressed mood (rated 0–4) had been used as a measure of efficacy. In total, 32 drug-placebo comparisons were reassessed. While 18 out of 32 comparisons (56%) failed to separate active drug from placebo at week 6 with respect to reduction in HDRS-17-sum, only 3 out of 32 comparisons (9%) were negative when depressed mood was used as an effect parameter (P<0.001). The observation that 29 out of 32 comparisons detected an antidepressant signal from the tested SSRI suggests the effect of these drugs to be more consistent across trials than previously assumed. Further, the frequent use of the HDRS-17-sum as an effect parameter may have distorted the current view on the usefulness of SSRIs and hampered the development of novel antidepressants.
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