BackgroundWe used growth mixture modeling (GMM) to identify subsets of patients with qualitatively distinct symptom trajectories resulting from treatment. Existing studies have focused on 12-week antidepressant trials. We used data from a concurrent antidepressant and psychotherapy trial over a 6-month period. MethodEight hundred twenty-one patients were randomized to receive either fluoxetine or tianepine and received cognitive-behavioral therapy, supportive therapy, or psychodynamic therapy. Patients completed the Montgomery-angstrom sberg depression rating scale (MADRS) at the 0, 1, 3, and 6-month periods. Patients also completed measures of dysfunctional attitudes, functioning, and personality. GMM was conducted using MADRS scores and t...
BACKGROUND: Identifying patient characteristics that predict response within treatments (prognostic)...
Heterogeneity in the clinical presentation of major depressive disorder and response to antidepressa...
Background: Identifying patient characteristics that predict response within treatments (prognostic)...
BackgroundWe used growth mixture modeling (GMM) to identify subsets of patients with qualitatively d...
Objective: Definitions of treatment response used in randomised controlled trials for unipolar major...
Background Response and remission defined by cut-off values on the last observed depression severity...
BackgroundDefinition of response is critical when seeking to establish valid predictors of treatment...
Background: Psychological interventions are often effective in reducing symptoms of common mental di...
Objective: The timing and rate of improvement after the initiation of an antidepressant has implicat...
OBJECTIVE: To classify a cohort of depressed adolescents recruited to the UK IMPACT trial, according...
Objective: To classify a cohort of depressed adolescents recruited to the UK IMPACT trial, according...
The study aimed to: (1) Identify distinct trajectories of change in depressive symptoms by mid-treat...
The identification of generalizable treatment response classes (TRC[s]) in major depressive disorder...
A considerable number of depressed patients do not respond to treatment. Accurate prediction of non-...
BACKGROUND: Identifying patient characteristics that predict response within treatments (prognostic)...
Heterogeneity in the clinical presentation of major depressive disorder and response to antidepressa...
Background: Identifying patient characteristics that predict response within treatments (prognostic)...
BackgroundWe used growth mixture modeling (GMM) to identify subsets of patients with qualitatively d...
Objective: Definitions of treatment response used in randomised controlled trials for unipolar major...
Background Response and remission defined by cut-off values on the last observed depression severity...
BackgroundDefinition of response is critical when seeking to establish valid predictors of treatment...
Background: Psychological interventions are often effective in reducing symptoms of common mental di...
Objective: The timing and rate of improvement after the initiation of an antidepressant has implicat...
OBJECTIVE: To classify a cohort of depressed adolescents recruited to the UK IMPACT trial, according...
Objective: To classify a cohort of depressed adolescents recruited to the UK IMPACT trial, according...
The study aimed to: (1) Identify distinct trajectories of change in depressive symptoms by mid-treat...
The identification of generalizable treatment response classes (TRC[s]) in major depressive disorder...
A considerable number of depressed patients do not respond to treatment. Accurate prediction of non-...
BACKGROUND: Identifying patient characteristics that predict response within treatments (prognostic)...
Heterogeneity in the clinical presentation of major depressive disorder and response to antidepressa...
Background: Identifying patient characteristics that predict response within treatments (prognostic)...