Abstract Treatment outcomes for major depressive disorder (MDD) need to be improved.
Presently, no clinically relevant tools have been established for stratifying subgroups or …

Backgrounds. Clinicians need guidance to address the heterogeneity of treatment
responses of patients with major depressive disorder (MDD). While prediction schemes …

Heterogeneity of major depressive disorder (MDD) illness course complicates clinical
decision-making. Although efforts to use symptom profiles or biomarkers to develop clinically …

Objective Single-dose intravenous (IV) injection of ketamine has shown rapid but transient
antidepressant effects. The strategy of repeated-dose ketamine infusions to maintain …

Objective: Research on predictors of treatment outcome in depression has largely derived
from randomized clinical trials involving strict standardization of treatments, stringent patient …

Personalized medicine is aimed at identifying which characteristics of an individual predict
the outcome of a specific treatment, in order to get a better match between the individual and …

Background Quantifying depression mainly relies on the use of depression scales, and
understanding their factor structure is crucial for evaluating their validity. Methods This post …

Recurrent and chronic major depressive disorder (MDD) accounts for a substantial part of
the disease burden because this course is most prevalent and typically requires long-term …

BACKGROUND: Although many demographic and clinical characteristics have been
suggested to predict treatment outcome of depression, they provide only a weak prediction …

Background Depression is one of the prevalent mental illnesses and leading cause of global
disease burden. However, most people with depression do not access treatment. Remission …