Literature DB >> 12172342

A typological model for estimation of drug and placebo effects in depression.

Donald C Ross1, Frederick M Quitkin, Donald F Klein.   

Abstract

One reason for failure to find specific treatment effects in drug versus placebo trials with patients who have depression is an insufficient period of observation. Also, differentiating between early fleeting response and maintained response has been shown relevant to detecting specific drug action. A model in which various types of drug and placebo response are specifically stipulated and which takes advantage of a two-stage experimental design is proposed. Substantive findings when patients who have major depression with atypical features are studied are: 1) about 6% have only a fleeting response to placebo and no response to drug; 2) by week-10 about 28% of the population will respond even if no medication is given; and 3) specific response to imipramine (21%) can be determined by week-4 but specific response to fluoxetine (20%) cannot be determined until later (week-10 in this study).

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Year:  2002        PMID: 12172342     DOI: 10.1097/00004714-200208000-00013

Source DB:  PubMed          Journal:  J Clin Psychopharmacol        ISSN: 0271-0749            Impact factor:   3.153


  8 in total

Review 1.  Placebo in the investigation of psychotropic drugs, especially antidepressants.

Authors:  Stanisław Puzyński
Journal:  Sci Eng Ethics       Date:  2004-01       Impact factor: 3.525

2.  Partitioning of Functional Data for Understanding Heterogeneity in Psychiatric Conditions.

Authors:  Eva Petkova; Thaddeus Tarpey
Journal:  Stat Interface       Date:  2009-01-01       Impact factor: 0.582

3.  Optimal Partitioning for Linear Mixed Effects Models: Applications to Identifying Placebo Responders.

Authors:  Thaddeus Tarpey; Eva Petkova; Yimeng Lu; Usha Govindarajulu
Journal:  J Am Stat Assoc       Date:  2010-01-01       Impact factor: 5.033

4.  Predicting potential placebo effect in drug treated subjects.

Authors:  Eva Petkova; Thaddeus Tarpey; Usha Govindarajulu
Journal:  Int J Biostat       Date:  2009-07-06       Impact factor: 0.968

5.  Principal Point Classification: Applications to Differentiating Drug and Placebo Responses in Longitudinal Studies.

Authors:  Thaddeus Tarpey; Eva Petkova
Journal:  J Stat Plan Inference       Date:  2010-02-01       Impact factor: 1.111

6.  Resequencing of serotonin-related genes and association of tagging SNPs to citalopram response.

Authors:  Eric J Peters; Susan L Slager; Greg D Jenkins; Megan S Reinalda; Holly A Garriock; Stanley I Shyn; Jeffrey B Kraft; Patrick J McGrath; Steven P Hamilton
Journal:  Pharmacogenet Genomics       Date:  2009-01       Impact factor: 2.089

7.  Bayesian modelling and ROC analysis to predict placebo responders using clinical score measured in the initial weeks of treatment in depression trials.

Authors:  Roberto Gomeni; Emilio Merlo-Pich
Journal:  Br J Clin Pharmacol       Date:  2007-05       Impact factor: 4.335

8.  Pharmacokinetic genes do not influence response or tolerance to citalopram in the STAR*D sample.

Authors:  Eric J Peters; Susan L Slager; Jeffrey B Kraft; Greg D Jenkins; Megan S Reinalda; Patrick J McGrath; Steven P Hamilton
Journal:  PLoS One       Date:  2008-04-02       Impact factor: 3.240

  8 in total

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