Literature DB >> 23082734

Early switch strategy in patients with major depressive disorder.

Chi-Un Pae1, Sheng-Min Wang, Seung-Yup Lee, Soo-Jung Lee.   

Abstract

Major depressive disorder is a highly prevalent and chronic mental disorder. There have been a number of antidepressants with different class employing different pharmacological profiles for treatment of major depressive disorder; however, currently available placebo-controlled or large practical clinical trials demonstrated that the efficacy of antidepressants is quite limited to yield full recovery for such patients. Approximately 30% of major depressive disorder patients remit with initial antidepressant treatment, whereas a chance of recurrence significantly increases with subsequent treatment failures. Hence, most treatment guidelines propose various treatment approaches such as augmentation, combination and switching strategies for such patients with initial treatment failure. Among these treatment approaches, switching strategies are widely used in clinical practice. However, controlled clinical trials of the proper timing of antidepressant switch have not been adequately evaluated yet. The authors of the article under evaluation have investigated whether an early switch strategy should result in shorter times to response and remission in patients with initial treatment failure. They found that a higher remission rate was seen with the early switch strategy than conventional switch strategies. This article will discuss the clinical significance, related practical issues, potential limitations and future research implications based on findings from the original study.

Entities:  

Year:  2012        PMID: 23082734     DOI: 10.1586/ern.12.115

Source DB:  PubMed          Journal:  Expert Rev Neurother        ISSN: 1473-7175            Impact factor:   4.618


  4 in total

Review 1.  Early switching strategies in antidepressant non-responders: current evidence and future research directions.

Authors:  Paul A Kudlow; Roger S McIntyre; Raymond W Lam
Journal:  CNS Drugs       Date:  2014-07       Impact factor: 5.749

2.  Prediction of short-term antidepressant response using probabilistic graphical models with replication across multiple drugs and treatment settings.

Authors:  Arjun P Athreya; Tanja Brückl; Elisabeth B Binder; A John Rush; Joanna Biernacka; Mark A Frye; Drew Neavin; Michelle Skime; Ditlev Monrad; Ravishankar K Iyer; Taryn Mayes; Madhukar Trivedi; Rickey E Carter; Liewei Wang; Richard M Weinshilboum; Paul E Croarkin; William V Bobo
Journal:  Neuropsychopharmacology       Date:  2021-01-15       Impact factor: 7.853

3.  Early Symptom Improvement as a Predictor of Response to Extended Release Quetiapine in Major Depressive Disorder.

Authors:  Roger S McIntyre; Philip Gorwood; Michael E Thase; Charlie Liss; Dhaval Desai; Ji Chen; Michael Bauer
Journal:  J Clin Psychopharmacol       Date:  2015-12       Impact factor: 3.153

Review 4.  Optimizing the Use of Aripiprazole Augmentation in the Treatment of Major Depressive Disorder: From Clinical Trials to Clinical Practice.

Authors:  Changsu Han; Sheng-Min Wang; Soo-Jung Lee; Tae-Youn Jun; Chi-Un Pae
Journal:  Chonnam Med J       Date:  2015-08-17
  4 in total

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