4.6 Article

Patient Expectancy as a Mediator of Placebo Effects in Antidepressant Clinical Trials

期刊

AMERICAN JOURNAL OF PSYCHIATRY
卷 174, 期 2, 页码 135-142

出版社

AMER PSYCHIATRIC PUBLISHING, INC
DOI: 10.1176/appi.ajp.2016.16020225

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资金

  1. NIMH [K23 MH085236]
  2. Pfizer
  3. Janssen
  4. Ryan Conlon, LLC

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Objective: Causes of placebo effects in antidepressant trials have been inferred from observational studies and meta-analyses, but their mechanisms have not been directly established. The goal of this study was to examine in a prospective, randomized controlled trial whether patient expectancy mediates placebo effects in antidepressant studies. Method: Adult outpatients with major depressive disorder were randomly assigned to open or placebo-controlled citalopram treatment. Following measurement of pre-and postrandomization expectancy, participantswere treated with citalopramorplacebofor8weeks. Independent samples t tests determined whether patient expectancy differed between the open and placebo-controlled groups, and mixed-effects models assessed group effects on Hamilton Depression Rating Scale (HAM-D) scores over time while controlling for treatment assignment. Finally, mediation analyses tested whether between-group differences in patient expectancy mediated the group effect on HAM-D scores. Results: Postrandomization expectancy scores were significantly higher in the open group (mean= 12.1 [SD= 2.1]) compared with the placebo-controlled group (mean= 11.0 [SD= 2.0]). Mixed-effects modeling revealed a significant week-by-group interaction, indicating that HAM-D scores for citalopram-treated participants declined at a faster rate in the open group compared with the placebo-controlled group. Patient expectations postrandomization partially mediated group effects on week 8 HAM-D. Conclusions: Patient expectancy is a significant mediator of placebo effects in antidepressant trials. Expectancy related interventions should be investigated as a means of controlling placebo responses in antidepressant clinical trials and improving patient outcome in clinical treatment.

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