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Clinical- and cost-effectiveness of a technology-supported and solution-focused intervention (DIALOG+) in treatment of patients with chronic depression—study protocol for a multi-site, cluster randomised controlled trial [TACK]
(2022-03)
Many with an acute depressive disorder go on to develop chronic depression, despite ongoing care. There are few specifically designed interventions to treat chronic depression. DIALOG+, a technology-assisted intervention ...
Catechol-O-methyltransferase activity does not influence emotional processing in men
(2022-04)
Background: Catechol-O-methyltransferase (COMT) regulates cortical dopaminergic transmission and prefrontal-dependent cognitive function. However, its role in other cognitive processes, including emotional processing, is ...
Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression
(2022-05)
The debate of whether machine learning models offer advantages over standard statistical methods when making predictions is ongoing. We discuss the use of a meta-learner model combining both approaches as an alternative. ...
Symptom Dynamics and Attention in Depression: Fatigue and Low Positive Affect are Associated With Reduced Orienting Efficiency
(2022-02)
Depression is a heterogeneous mental disorder involving a complex interplay between
potential etiological and maintenance factors. The current study examined how depression
heterogeneity is related to attentional ...
A dose–effect network meta-analysis model with application in antidepressants using restricted cubic splines
(2022-02)
Network meta-analysis has been used to answer a range of clinical questions about the preferred intervention for a given condition. Although the effectiveness and safety of pharmacological agents depend on the dose ...
Pramipexole Enhances Reward Learning by Preserving Value Estimates
(2022-01)
Background: Dopamine D2-like receptor agonists show promise as treatments for depression. They are
thought to act by altering how individuals learn from rewarding experiences. However, the nature of these
reward learning ...
Dose–effect meta-analysis for psychopharmacological interventions using randomised data
(2022-01)
Objective The current practice in meta-analysis of the effects of psychopharmacological interventions ignors the administered dose or restricts the analysis in a dose range. This may introduce unnecessary uncertainty and ...
Selective publication of antidepressant trials and its influence on apparent efficacy: Updated comparisons and meta-analyses of newer versus older trials
(2022-01)
Valid assessment of drug efficacy and safety requires an evidence base free of reporting bias. Using trial reports in Food and Drug Administration (FDA) drug approval packages as a gold standard, we previously found that ...
Efficacy and acceptability of next step treatment strategies in adults with treatment-resistant major depressive disorder: protocol for systematic review and network meta-analysis
(2022-04)
For major depression, a one-size-fits-all treatment does not exist. Patients enter a ‘trial-and-change’ algorithm in which effective therapies are subsequently applied. Unfortunately, an empirically based order of treatments ...
Sleep deprivation as a treatment for major depressive episodes: A systematic review and meta-analysis
(2022-05)
Sleep deprivation, alone or in combination with pharmacological treatment and as part of a chronotherapy package, is of potential use for people with major depressive episodes, however the evidence base is still conflicting. ...