The substantial non-response rate in depressive patients indicates a continuing need to
identify predictors of treatment outcome. The aim of this 6-week, open-label study was (1) to …

Biomarkers to predict clinical outcomes early during the treatment of major depressive
disorder (MDD) could reduce suffering and improve outcomes. A quantitative …

In order to identify clinical and demographic variables that predict response to
antidepressants and to analyse prediction of outcome as a function of definition of outcome …

Heterogeneity in the clinical presentation of major depressive disorder and response to
antidepressants limits clinicians' ability to accurately predict a specific patient's eventual …

Recent studies have shown that the use of subscales derived from the Hamilton Depression
(HAM-D) rating scale are just as reliable and enhance sensitivity for detecting response and …

INTRODUCTION: Current studies suggest that improvement of depressive symptoms after 2
weeks of treatment could predict the subsequent response. The aim of our study was to …

The limitations in design and analysis of currently available dose‐response studies of SSRI
treatment of major depression have led to the conclusion that dose response is flat. We …

Recent research aims at developing a biomarker to predict antidepressant treatment
outcomes in major depressive disorder. The Antidepressant Treatment Response (ATR) …

Background To compare response to antidepressants between randomized controlled trials
(RCTs) and observational trials. Methods and Findings Published and unpublished studies …

Abstract Management of Major Depressive Disorder (MDD) might be improved by a
biomarker to predict whether a selected medication is likely to lead to remission. We …