↓ Skip to main content

Predictors of remission in depression to individual and combined treatments (PReDICT): study protocol for a randomized controlled trial

Overview of attention for article published in Trials, July 2012
Altmetric Badge

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
112 Dimensions

Readers on

mendeley
302 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Predictors of remission in depression to individual and combined treatments (PReDICT): study protocol for a randomized controlled trial
Published in
Trials, July 2012
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

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 302 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%