Report for: International Study to Predict Optimized Treatment for Depression (iSPOT-D), a randomized clinical trial: rationale and protocol

Title	International Study to Predict Optimized Treatment for Depression (iSPOT-D), a randomized clinical trial: rationale and protocol
Published in	Trials, January 2011
DOI	10.1186/1745-6215-12-4
Pubmed ID	21208417
Authors	Leanne M Williams, A John Rush, Stephen H Koslow, Stephen R Wisniewski, Nicholas J Cooper, Charles B Nemeroff, Alan F Schatzberg, Evian Gordon
Abstract	Clinically useful treatment moderators of Major Depressive Disorder (MDD) have not yet been identified, though some baseline predictors of treatment outcome have been proposed. The aim of iSPOT-D is to identify pretreatment measures that predict or moderate MDD treatment response or remission to escitalopram, sertraline or venlafaxine; and develop a model that incorporates multiple predictors and moderators.

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.

Country	Count	As %
Mexico	1	33%
Unknown	2	67%

Type	Count	As %
Practitioners (doctors, other healthcare professionals)	2	67%
Members of the public	1	33%

Mendeley readers

The data shown below were compiled from readership statistics for 306 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Readers by professional status	Count	As %
Researcher	60	20%
Student > Master	45	15%
Student > Ph. D. Student	43	14%
Student > Bachelor	23	8%
Other	13	4%
Other	54	18%
Unknown	68	22%

Readers by discipline	Count	As %
Psychology	67	22%
Medicine and Dentistry	55	18%
Neuroscience	34	11%
Agricultural and Biological Sciences	18	6%
Nursing and Health Professions	9	3%
Other	32	10%
Unknown	91	30%

International Study to Predict Optimized Treatment for Depression (iSPOT-D), a randomized clinical trial: rationale and protocol