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Strategic use of new generation antidepressants for depression: SUN(^_^)D study protocol

Overview of attention for article published in Trials, May 2011
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Title
Strategic use of new generation antidepressants for depression: SUN(^_^)D study protocol
Published in
Trials, May 2011
DOI 10.1186/1745-6215-12-116
Pubmed ID
Authors

Toshi A Furukawa, Tatsuo Akechi, Shinji Shimodera, Mitsuhiko Yamada, Kazuhira Miki, Norio Watanabe, Masatoshi Inagaki, Naohiro Yonemoto

Abstract

After more than half a century of modern psychopharmacology, with billions of dollars spent on antidepressants annually world-wide, we lack good evidence to guide our everyday decisions in conducting antidepressant treatment of patients with major depression. First we did not know which antidepressant to use as first line treatment. Second we do not know which dosage we should be aiming at with that antidepressant. Because more than half of the patients with major depression starting treatment do not remit after adequate trial with the first agent, they will need a second line treatment. Dose escalation, augmentation and switching are the three often recommended second line strategies but we do not know which is better than the others. Moreover, we do not know when to start considering this second line treatment.The recently published multiple-treatments meta-analysis of 12 new generation antidepressants has provided some partial answers to the first question. Starting with these findings, this proposed trial aims to establish the optimum 1st line and 2nd line antidepressant treatment strategy among adult patients with a non-psychotic unipolar major depressive episode.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
United States 1 1%
Unknown 94 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 22%
Student > Bachelor 11 11%
Student > Ph. D. Student 9 9%
Student > Postgraduate 8 8%
Student > Master 7 7%
Other 20 21%
Unknown 20 21%
Readers by discipline Count As %
Medicine and Dentistry 24 25%
Psychology 17 18%
Pharmacology, Toxicology and Pharmaceutical Science 6 6%
Agricultural and Biological Sciences 5 5%
Nursing and Health Professions 4 4%
Other 14 15%
Unknown 26 27%