Literature DB >> 15514405

Research design features and patient characteristics associated with the outcome of antidepressant clinical trials.

Arif Khan1, Russell L Kolts, Michael E Thase, K Ranga Rama Krishnan, Walter Brown.   

Abstract

OBJECTIVE: The authors examined which, if any, research design features and patient characteristics would significantly differ between successful and unsuccessful antidepressant trials.
METHOD: Clinical trial data were reviewed for nine antidepressants approved by the Food and Drug Administration between 1985 and 2000. From the antidepressant research programs on these medications, 52 clinical trials were included in the study. The authors evaluated trial design features, patient characteristics, and difference in response between placebo and antidepressant.
RESULTS: Nine trial design features and patient characteristics were present in the research programs for all nine of the antidepressants. The severity of depressive symptoms before patient randomization, the dosing schedule (flexible versus fixed), the number of treatment arms, and the percentage of female patients were significantly associated with the difference in response to antidepressant and placebo. The duration of the antidepressant trial, number of patients per treatment arm, number of sites, and mean age of the patients were similar in successful trials (with a greater antidepressant-placebo difference) and less successful trials (with a smaller antidepressant-placebo difference).
CONCLUSIONS: These findings may help in the design of future antidepressant trials.

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Year:  2004        PMID: 15514405     DOI: 10.1176/appi.ajp.161.11.2045

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  31 in total

1.  Are the colors and shapes of current psychotropics designed to maximize the placebo response?

Authors:  Arif Khan; Eswara Prasad Bomminayuni; Amritha Bhat; James Faucett; Walter A Brown
Journal:  Psychopharmacology (Berl)       Date:  2010-05-22       Impact factor: 4.530

2.  Does study design influence outcome?. The effects of placebo control and treatment duration in antidepressant trials.

Authors:  Bret R Rutherford; Joel R Sneed; Steven P Roose
Journal:  Psychother Psychosom       Date:  2009-03-24       Impact factor: 17.659

3.  Meta-analyses: a method to maximise the evidence from clinical studies?

Authors:  Wolfgang Maier; Hans-Jürgen Möller
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2010-02       Impact factor: 5.270

4.  Has the rising placebo response impacted antidepressant clinical trial outcome? Data from the US Food and Drug Administration 1987-2013.

Authors:  Arif Khan; Kaysee Fahl Mar; Jim Faucett; Shirin Khan Schilling; Walter A Brown
Journal:  World Psychiatry       Date:  2017-06       Impact factor: 49.548

5.  Does differential drop-out explain the influence of study design on antidepressant response? A meta-analysis.

Authors:  Bret R Rutherford; Joel R Sneed; Steven P Roose
Journal:  J Affect Disord       Date:  2012-03-02       Impact factor: 4.839

Review 6.  Design and conduct of confirmatory chronic pain clinical trials.

Authors:  Nathaniel Katz
Journal:  Pain Rep       Date:  2020-12-18

7.  Expectancy and the Treatment of Depression: A Review of Experimental Methodology and Effects on Patient Outcome.

Authors:  Bret R Rutherford; Tor D Wager; Steven P Roose
Journal:  Curr Psychiatry Rev       Date:  2010-02-01

8.  Study design affects participant expectations: a survey.

Authors:  Bret R Rutherford; Scott Alan Rose; Joel R Sneed; Steven P Roose
Journal:  J Clin Psychopharmacol       Date:  2009-04       Impact factor: 3.153

Review 9.  A model of placebo response in antidepressant clinical trials.

Authors:  Bret R Rutherford; Steven P Roose
Journal:  Am J Psychiatry       Date:  2013-07       Impact factor: 18.112

10.  The role of patient expectancy in placebo and nocebo effects in antidepressant trials.

Authors:  Bret R Rutherford; Melanie M Wall; Andrew Glass; Jonathan W Stewart
Journal:  J Clin Psychiatry       Date:  2014-10       Impact factor: 4.384

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