Literature DB >> 21556319

Predicting potential placebo effect in drug treated subjects.

Eva Petkova1, Thaddeus Tarpey, Usha Govindarajulu.   

Abstract

Non-specific responses to treatment (commonly known as placebo response) are pervasive when treating mental illness. Subjects treated with an active drug may respond in part due to non-specific aspects of the treatment, i.e, those not related to the chemical effect of the drug. To determine the extent a subject responds due to the chemical effect of a drug, one must disentangle the specific drug effect from the non-specific placebo effect. This paper presents a unique statistical model that allows for the separate prediction of a specific effect and non-specific effects in drug treated subjects. Data from a clinical trial comparing fluoxetine to a placebo for treating depression is used to illustrate this methodology.

Entities:  

Keywords:  BLUP; allometric extension; linear mixed effects models; longitudinal outcome; non-specific treatment effect; principal components; specific drug effect

Mesh:

Substances:

Year:  2009        PMID: 21556319      PMCID: PMC3085382          DOI: 10.2202/1557-4679.1152

Source DB:  PubMed          Journal:  Int J Biostat        ISSN: 1557-4679            Impact factor:   0.968


  11 in total

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Authors:  S Bartoletti; B D Flury; D G Nel
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5.  Use of pattern analysis to predict differential relapse of remitted patients with major depression during 1 year of treatment with fluoxetine or placebo.

Authors:  J W Stewart; F M Quitkin; P J McGrath; J Amsterdam; M Fava; J Fawcett; F Reimherr; J Rosenbaum; C Beasley; P Roback
Journal:  Arch Gen Psychiatry       Date:  1998-04

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7.  Use of pattern analysis to identify true drug response. A replication.

Authors:  F M Quitkin; J D Rabkin; J M Markowitz; J W Stewart; P J McGrath; W Harrison
Journal:  Arch Gen Psychiatry       Date:  1987-03

8.  A conditioned response model of the placebo effect predictions from the model.

Authors:  I Wickramasekera
Journal:  Biofeedback Self Regul       Date:  1980-03

9.  Identification of true drug response to antidepressants. Use of pattern analysis.

Authors:  F M Quitkin; J G Rabkin; D Ross; J W Stewart
Journal:  Arch Gen Psychiatry       Date:  1984-08

10.  Initial severity and antidepressant benefits: a meta-analysis of data submitted to the Food and Drug Administration.

Authors:  Irving Kirsch; Brett J Deacon; Tania B Huedo-Medina; Alan Scoboria; Thomas J Moore; Blair T Johnson
Journal:  PLoS Med       Date:  2008-02       Impact factor: 11.069

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  3 in total

1.  Accounting for perception, placebo and unmasking effects in estimating treatment effects in randomised clinical trials.

Authors:  Farid Jamshidian; Alan E Hubbard; Nicholas P Jewell
Journal:  Stat Methods Med Res       Date:  2011-09-08       Impact factor: 2.494

2.  Estimating drug effects in the presence of placebo response: causal inference using growth mixture modeling.

Authors:  Bengt Muthén; Hendricks C Brown
Journal:  Stat Med       Date:  2009-11-30       Impact factor: 2.373

3.  LATENT CLASS MODELING USING MATRIX COVARIATES WITH APPLICATION TO IDENTIFYING EARLY PLACEBO RESPONDERS BASED ON EEG SIGNALS.

Authors:  Bei Jiang; Eva Petkova; Thaddeus Tarpey; R Todd Ogden
Journal:  Ann Appl Stat       Date:  2017-10-05       Impact factor: 2.083

  3 in total

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