Literature DB >> 27044431

Targeting treatments for depression: what can our patients tell us?

A John Rush1.   

Abstract

Entities:  

Keywords:  Depression; clinical indicators; treatment selection

Mesh：

Substances：

Year:  2016        PMID： 27044431      PMCID： PMC6998650          DOI： 10.1017/S2045796016000160

Source DB:  PubMed          Journal:  Epidemiol Psychiatr Sci        ISSN： 2045-7960            Impact factor:   6.892


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  14 in total

1.  Isn't It About Time to Employ Measurement-Based Care in Practice?

Authors:  A John Rush
Journal:  Am J Psychiatry       Date:  2015-08-28       Impact factor: 18.112

2.  STAR*D: what have we learned?

Authors:  A John Rush
Journal:  Am J Psychiatry       Date:  2007-02       Impact factor: 18.112

3.  ABCB1 Genetic Effects on Antidepressant Outcomes: A Report From the iSPOT-D Trial.

Authors:  Alan F Schatzberg; Charles DeBattista; Laura C Lazzeroni; Amit Etkin; Greer M Murphy; Leanne M Williams
Journal:  Am J Psychiatry       Date:  2015-03-27       Impact factor: 18.112

4.  Strengthening clinical effectiveness trials: equipoise-stratified randomization.

Authors:  P W Lavori; A J Rush; S R Wisniewski; J Alpert; M Fava; D J Kupfer; A Nierenberg; F M Quitkin; H A Sackeim; M E Thase; M Trivedi
Journal:  Biol Psychiatry       Date:  2001-11-15       Impact factor: 13.382

5.  Recursive subsetting to identify patients in the STAR*D: a method to enhance the accuracy of early prediction of treatment outcome and to inform personalized care.

Authors:  Anthony Y C Kuk; Jialiang Li; A John Rush
Journal:  J Clin Psychiatry       Date:  2010-11       Impact factor: 4.384

6.  A cognitive-emotional biomarker for predicting remission with antidepressant medications: a report from the iSPOT-D trial.

Authors:  Amit Etkin; Brian Patenaude; Yun Ju C Song; Timothy Usherwood; William Rekshan; Alan F Schatzberg; A John Rush; Leanne M Williams
Journal:  Neuropsychopharmacology       Date:  2014-12-30       Impact factor: 7.853

7.  A practical approach to the early identification of antidepressant medication non-responders.

Authors:  J Li; A Y C Kuk; A J Rush
Journal:  Psychol Med       Date:  2011-07-25       Impact factor: 7.723

8.  STAR*D: revising conventional wisdom.

Authors:  A John Rush; Diane Warden; Stephen R Wisniewski; Maurizio Fava; Madhukar H Trivedi; Bradley N Gaynes; Andrew A Nierenberg
Journal:  CNS Drugs       Date:  2009-08       Impact factor: 5.749

9.  Can phase III trial results of antidepressant medications be generalized to clinical practice? A STAR*D report.

Authors:  Stephen R Wisniewski; A John Rush; Andrew A Nierenberg; Bradley N Gaynes; Diane Warden; James F Luther; Patrick J McGrath; Philip W Lavori; Michael E Thase; Maurizio Fava; Madhukar H Trivedi
Journal:  Am J Psychiatry       Date:  2009-04-01       Impact factor: 18.112

10.  Magnetic Resonance Imaging Measures of Brain Structure to Predict Antidepressant Treatment Outcome in Major Depressive Disorder.

Authors:  Mayuresh S Korgaonkar; William Rekshan; Evian Gordon; A John Rush; Leanne M Williams; Christine Blasey; Stuart M Grieve
Journal:  EBioMedicine       Date:  2014-12-03       Impact factor: 8.143
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  1 in total

1.  Antidepressant effects of C-Terminal domain of the heavy chain of tetanus toxin in a rat model of depression.

Authors:  Bruk Getachew; Liliana Mendieta; Antonei B Csoka; José Aguilera; Yousef Tizabi
Journal:  Behav Brain Res       Date:  2019-05-22       Impact factor: 3.332
  1 in total

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