Literature DB >> 6378117

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

F M Quitkin, J G Rabkin, D Ross, J W Stewart.   

Abstract

The purpose of this study was to develop a method for differentiating specific ("true") and nonspecific antidepressant drug response for the individual patient. Patterns of clinical response, based on weekly global ratings of clinical status, were generated for each of 185 patients participating in six-week placebo-controlled drug trials. We hypothesized and found that substantially more patients receiving active than placebo medication displayed treatment response patterns characterized both by two-week or greater delay in onset of initial improvement and nonfluctuating persistence of improvement once achieved. Identification of a distinctive pattern of clinical response to an active drug has both research and clinical applications. Pattern analysis may contribute to understanding the nature of drug mechanisms of action, may clarify some ambiguous treatment study outcomes, and in the individual case, may facilitate clinical management.

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Year:  1984        PMID: 6378117     DOI: 10.1001/archpsyc.1984.01790190056007

Source DB:  PubMed          Journal:  Arch Gen Psychiatry        ISSN: 0003-990X


  39 in total

1.  Do early changes in the HAM-D-17 anxiety/somatization factor items affect the treatment outcome among depressed outpatients? Comparison of two controlled trials of St John's wort (Hypericum perforatum) versus a SSRI.

Authors:  Stella Bitran; Amy H Farabaugh; Victoria E Ameral; Rachel A LaRocca; Alisabet J Clain; Maurizio Fava; David Mischoulon
Journal:  Int Clin Psychopharmacol       Date:  2011-07       Impact factor: 1.659

2.  Time to feel good: the therapeutic time course of antidepressants.

Authors:  David Feifel
Journal:  Psychiatry (Edgmont)       Date:  2007-03

3.  Clinical value of early partial symptomatic improvement in the prediction of response and remission during short-term treatment trials in 3369 subjects with bipolar I or II depression.

Authors:  David E Kemp; Stephen J Ganocy; Martin Brecher; Berit X Carlson; Suzanne Edwards; James M Eudicone; Gary Evoniuk; Wim Jansen; Andrew C Leon; Margaret Minkwitz; Andrei Pikalov; Hans H Stassen; Armin Szegedi; Mauricio Tohen; Arjen P P Van Willigenburg; Joseph R Calabrese
Journal:  J Affect Disord       Date:  2010-11-10       Impact factor: 4.839

4.  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

5.  Who receives antidepressants and what impact do they have? An acute-care study.

Authors:  Patricia M Averill; Adel A Wassef
Journal:  Psychiatr Q       Date:  2006

6.  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

7.  Onset of action of antidepressants.

Authors:  Andre Tylee; Paul Walters
Journal:  BMJ       Date:  2007-05-05

Review 8.  Rapid onset of true antidepressant action.

Authors:  Matthew J Taylor
Journal:  Curr Psychiatry Rep       Date:  2007-12       Impact factor: 5.285

9.  Successful use of adjuvant phytoestrogens in schizoaffective disorder: a case report.

Authors:  Balaji Bharadwaj; Rashmi Arasappa; Ganesan Venkatasubramanian; Bangalore N Gangadhar
Journal:  Prim Care Companion J Clin Psychiatry       Date:  2009

10.  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

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