Objective: Selective serotonin reuptake inhibitors (SSRIs) are the first choice in pharmacotherapy for children and adolescents with obsessive-compulsive disorder (OCD). SSRI-trials for pediatric OCD have never been investigated using individual participant data (IPD), which is crucial for detecting patient-level effect modifiers. Here, we performed an IPD meta-analysis on the efficacy of SSRIs compared to placebo, and a meta-regression on baseline patient characteristics which might modify efficacy.
View Article and Find Full Text PDFEvidence suggests a worse clinical course in women compared to men with bipolar disorder. However, little research has explored gender differences in the efficacy of anti-manic medication. We sought to determine whether there are gender differences in efficacy of drug treatment in acute manic episodes of bipolar I disorder, and the influence of dichotomized age as a proxy for menopausal status and baseline severity on gender differences.
View Article and Find Full Text PDFBackground: The change in symptoms necessary to be clinically relevant in obsessive-compulsive disorder (OCD) is currently unknown. In this study, we aimed to create an empirically validated threshold for clinical significance or minimal important difference (MID).
Methods: We analyzed individual participant data from short-term, double-blind, placebo-controlled registration trials of selective serotonin reuptake inhibitors in adult OCD patients.
Question: We examined the effect of study characteristics, risk of bias and publication bias on the efficacy of pharmacotherapy in randomised controlled trials (RCTs) for obsessive-compulsive disorder (OCD).
Study Selection And Analysis: We conducted a systematic search of double-blinded, placebo-controlled, short-term RCTs with selective serotonergic reuptake inhibitors (SSRIs) or clomipramine. We performed a random-effect meta-analysis using change in the Yale-Brown Obsessive-Compulsive Scale (YBOCS) as the primary outcome.
Background: Little is known about the effect of ethnicity on the response to antipsychotic medication in patients with schizophrenia.
Aims: To determine whether ethnicity moderates the response to antipsychotic medication in patients with schizophrenia, and whether this moderation is independent of confounders.
Method: We analysed 18 short-term, placebo-controlled registration trials of atypical antipsychotic medications in patients with schizophrenia ( = 3880).
No tools are currently available to predict whether a patient suffering from major depressive disorder (MDD) will respond to a certain treatment. Machine learning analysis of magnetic resonance imaging (MRI) data has shown potential in predicting response for individual patients, which may enable personalized treatment decisions and increase treatment efficacy. Here, we evaluated the accuracy of MRI-guided response prediction in MDD.
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