Depression is widely acknowledged to be a heterogeneous entity, and the need to further
characterize the individual patient who has received this diagnosis in order to personalize …

Objective: Response to specific depression treatments varies widely among individuals.
Understanding and predicting that variation could have great benefits for people living with …

Background Personalized medicine aims to identify which characteristics of an individual
predict the outcome of a specific treatment, in order to get a better match between the …

In this issue of the journal, Maj et al1 have revisited a fundamental tenet of psychiatric
medicine, namely, that more precise clinical characterization of patients with depression will …

Depressed patients often do not respond to the first antidepressant prescribed, resulting in
sequential trials of different medications. Personalised medicine offers a means of reducing …

Effectiveness studies and analyses of naturalistic cohorts demonstrate that many patients
with major depressive disorder do not experience symptomatic remission with …

Improving response and remission rates in major depressive disorder (MDD) remains an
important challenge. Matching patients to the treatment they will most likely respond to …

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 …

The effects of psychotherapies for depression have been examined in several hundreds of
randomized trials, but no recent network meta‐analysis (NMA) has integrated the results of …

A recent individual patient data meta‐analysis showed that antidepressant medication is
slightly more efficacious than cognitive behavioral therapy (CBT) in reducing overall …