Title |
Predictors of remission in depression to individual and combined treatments (PReDICT): study protocol for a randomized controlled trial
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Published in |
Trials, July 2012
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DOI | 10.1186/1745-6215-13-106 |
Pubmed ID | |
Authors |
Boadie W Dunlop, Elisabeth B Binder, Joseph F Cubells, Mark M Goodman, Mary E Kelley, Becky Kinkead, Michael Kutner, Charles B Nemeroff, D Jeffrey Newport, Michael J Owens, Thaddeus W W Pace, James C Ritchie, Vivianne Aponte Rivera, Drew Westen, W Edward Craighead, Helen S Mayberg |
Abstract |
Limited controlled data exist to guide treatment choices for clinicians caring for patients with major depressive disorder (MDD). Although many putative predictors of treatment response have been reported, most were identified through retrospective analyses of existing datasets and very few have been replicated in a manner that can impact clinical practice. One major confound in previous studies examining predictors of treatment response is the patient's treatment history, which may affect both the predictor of interest and treatment outcomes. Moreover, prior treatment history provides an important source of selection bias, thereby limiting generalizability. Consequently, we initiated a randomized clinical trial designed to identify factors that moderate response to three treatments for MDD among patients never treated previously for the condition. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 2% |
United Kingdom | 1 | <1% |
Norway | 1 | <1% |
Canada | 1 | <1% |
Unknown | 293 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 46 | 15% |
Student > Ph. D. Student | 44 | 15% |
Student > Master | 44 | 15% |
Student > Bachelor | 32 | 11% |
Student > Doctoral Student | 14 | 5% |
Other | 49 | 16% |
Unknown | 73 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 82 | 27% |
Medicine and Dentistry | 57 | 19% |
Neuroscience | 20 | 7% |
Agricultural and Biological Sciences | 17 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 8 | 3% |
Other | 27 | 9% |
Unknown | 91 | 30% |