Browsing by Subject "Antidepressant Drugs"
Now showing items 1-20 of 30
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Antidepressants might work for people with major depression: where do we go from here? (Comment)
(2018-06)The publication of our updated network meta-analysis about antidepressants for the acute treatment of major depression has generated a wide discussion in newspapers, social media, and scientific journals. Based on 522 ... -
Characteristics of patients expressing an interest in ketamine treatment: results of an online survey
(2018-04)Off-label ketamine treatment has shown acute antidepressant effects that offer hope for patients with therapy-resistant depression. However, its potential for integration into treatment algorithms is controversial, not ... -
Cognitive neuropsychological theory of antidepressant action: a modern-day approach to depression and its treatment
(2020-01)Depression is a leading cause of disability worldwide and improving its treatment is a core research priority for future programmes. A change in the view of psychological and biological processes, from seeing them as ... -
Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis
(2018-04)BACKGROUND Major depressive disorder is one of the most common, burdensome, and costly psychiatric disorders worldwide in adults. Pharmacological and non-pharmacological treatments are available; however, because of ... -
Comparative efficacy and acceptability of antidepressants in the long-term treatment of major depression: protocol for a systematic review and networkmeta-analysis
(2019-05)Introduction: Pharmacotherapy plays an important role in the treatment of major depression. At the initiation of antidepressant treatment, both improvement of symptoms in the short term and relapse prevention in the long ... -
Comparative efficacy and acceptability of antidepressants, psychotherapies, and their combination for acute treatment of children and adolescents with depressive disorder: a systematic review and network meta-analysis
(2020-07)Depressive disorders are common in children and adolescents. Antidepressants, psychotherapies, and their combination are often used in routine clinical practice; however, available evidence on the comparative efficacy and ... -
Development and validation of a prediction model for the probability of responding to placebo in antidepressant trials: a pooled analysis of individual patient data
(2019-02)Background: Identifying potential placebo responders among apparent drug responders is critical to dissect drug-specific and nonspecific effects in depression. Objective: This project aimed to develop and test a prediction ... -
A Dissociation of the Acute Effects of Bupropion on Positive Emotional Processing and Reward Processing in Healthy Volunteers
(2018-10)Background: Previous research indicates that antidepressants can restore the balance between negative and positive emotional processing early in treatment, indicating a role of this effect in later mood improvement. However, ... -
The effect of sertraline on emotional processing: secondary analyses of the PANDA randomised controlled trial
(2021-01)Background. According to the cognitive neuropsychological model, antidepressants reduce symptoms of depression and anxiety by increasing positive relative to negative information processing. Most studies of whether ... -
The effects of intramuscular administration of scopolamine augmentation in moderate to severe major depressive disorder: a randomized, double-blind, placebo-controlled trial
(2020-07)Introduction:Major depressive disorder (MDD) is a common affective disorder. Currently established pharmacotherapies lack rapid clinical response, thereby limiting their ability to bring instant relief to patients. A series ... -
Impact of placebo arms on outcomes in antidepressant trials: systematic review and meta-regression analysis
(2018-06)There is debate in the literature as to whether inclusion of a placebo arm may alter characteristics of antidepressant trials. However, previous research has focused on response rates of various antidepressants on average ... -
Is placebo response in antidepressant trials rising or not? A reanalysis of datasets to conclude this long-lasting controversy
(2018-01)It had long been believed that placebo response rates in antidepressant trials have been increasing and that they were responsible for rising numbers of so-called failed antidepressant trials. Two recent systematic reviews ... -
The Kilim plot: A tool for visualizing network meta‐analysis results for multiple outcomes
(2020-06)Network meta‐analysis (NMA) can be used to compare multiple competing treatments for the same disease. In practice, usually a range of outcomes is of interest. As the number of outcomes increases, summarizing results from ... -
Network meta-analysis of antidepressants – Authors' reply
(2018-09-22)Comments on issues raised with Cipriani et al, 'Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis' ... -
No benefit from flexible titration above minimum licensed dose in prescribing antidepressants for major depression: systematic review
(2019-12)Background In fixed‐dose antidepressant trials, the lower range of the licensed dose achieves the optimal balance between efficacy and tolerability. Whether flexible upward titration while side‐effects permit provides ... -
One step closer to personalised prescribing of antidepressants: using real-world data together with patients and clinicians' preferences
(2019-07)Antidepressants for many decades have been shown to be an effective treatment for depressive disorder.1 Approximately 80% of people with depressive disorder in the UK will have been prescribed an antidepressant within the ... -
Personalise antidepressant treatment for unipolar depression combining individual choices, risks and big data (PETRUSHKA): rationale and protocol
(2019-10)Introduction: Matching treatment to specific patients is too often a matter of trial and error, while treatment efficacy should be optimised by limiting risks and costs and by incorporating patients’ preferences. Factors ... -
Predicting treatment effects in unipolar depression: A meta-review
(2020-08)There is increasing interest in clinical prediction models in psychiatry, which focus on developing multivariate algorithms to guide personalized diagnostic or management decisions. The main target of these models is the ... -
Predicting treatment response in depression: the role of anterior cingulate cortex
(2018)Background: Identification of biomarkers predicting therapeutic outcome to antidepressant treatment is one of the most important tasks in current research because it may transform the lengthy process of finding the right ... -
Predicting Treatment Response to Antidepressant Medication Using Early Changes in Emotional Processing.
(2019-01)Antidepressants must be taken for weeks before response can be assessed with many patients not responding to the first medication prescribed. This often results in long delays before effective treatment is started. ...
