Literature DB >> 10783806

The impact of restrictive entry criterion during the placebo lead-in period.

R Landin1, D J DeBrota, T A DeVries, W Z Potter, M A Demitrack.   

Abstract

In the study of depression, most randomized clinical trials have design features that attempt to sample from a stable patient population. One commonly used design feature is to require patients to maintain some minimum baseline symptom severity score during a placebo lead-in period. One intent of this design feature is to evaluate the behavior of patients prior to administration of active medication. If, during the lead-in period, patients do not maintain minimum symptom severity, the patients are excluded from the remainder of the study, the theory being that the excluded patients are not part of a stable patient population and hence are not likely to demonstrate efficacy of a truly effective treatment. This presentation investigates the effectiveness of a restrictive entry criterion and proposes an alternative explanation for what is usually defined as placebo response.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 10783806     DOI: 10.1111/j.0006-341x.2000.00271.x

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  16 in total

1.  Trajectories of depression severity in clinical trials of duloxetine: insights into antidepressant and placebo responses.

Authors:  Ralitza Gueorguieva; Craig Mallinckrodt; John H Krystal
Journal:  Arch Gen Psychiatry       Date:  2011-12

2.  Time to abandon placebo control in pivotal phase III trials?

Authors:  John R Geddes; Andrea Cipriani
Journal:  World Psychiatry       Date:  2015-10       Impact factor: 49.548

Review 3.  Design and conduct of confirmatory chronic pain clinical trials.

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

4.  Correlation between patient and clinician assessments of depression severity in the PREVENT study.

Authors:  Boadie W Dunlop; Thomas Li; Susan G Kornstein; Edward S Friedman; Anthony J Rothschild; Ron Pedersen; Philip Ninan; Martin Keller
Journal:  Psychiatry Res       Date:  2010-03-21       Impact factor: 3.222

5.  Does the change in glutamate to GABA ratio correlate with change in depression severity? A randomized, double-blind clinical trial.

Authors:  G Anjali Narayan; Kathryn R Hill; Kenneth Wengler; Xiang He; Junying Wang; Jie Yang; Ramin V Parsey; Christine DeLorenzo
Journal:  Mol Psychiatry       Date:  2022-08-18       Impact factor: 13.437

6.  Pretreatment neurophysiological and clinical characteristics of placebo responders in treatment trials for major depression.

Authors:  Andrew F Leuchter; Melinda Morgan; Ian A Cook; Jennifer Dunkin; Michelle Abrams; Elise Witte
Journal:  Psychopharmacology (Berl)       Date:  2004-07-14       Impact factor: 4.530

Review 7.  Antidepressant drug effects and depression severity: a patient-level meta-analysis.

Authors:  Jay C Fournier; Robert J DeRubeis; Steven D Hollon; Sona Dimidjian; Jay D Amsterdam; Richard C Shelton; Jan Fawcett
Journal:  JAMA       Date:  2010-01-06       Impact factor: 56.272

Review 8.  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

9.  A meta-analysis of factors impacting detection of antidepressant efficacy in clinical trials: the importance of academic sites.

Authors:  Boadie W Dunlop; Michael E Thase; Chuan-Chuan Wun; Rana Fayyad; Christine J Guico-Pabia; Jeff Musgnung; Philip T Ninan
Journal:  Neuropsychopharmacology       Date:  2012-08-22       Impact factor: 7.853

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.