Browsing Depressive Disorders by Author "Cipriani, Andrea"
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Antidepressants might work for people with major depression: where do we go from here? (Comment)
Cipriani, Andrea; Geddes, John R (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 ... -
Associations between statin use and suicidality, depression, anxiety, and seizures: a Swedish total-population cohort study
Cipriani, Andrea (2020-11)Background Statins have shown both protective and adverse associations with neuropsychiatric outcomes. We aimed to examine the possible associations between statins and suicidality, depression, anxiety, and seizures. M ... -
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
Cipriani, Andrea; Geddes, John R (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
Geddes, John R; Cipriani, Andrea (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
Cipriani, Andrea (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 meta-learner for combining statistical and machine learning prediction models in individuals with depression
De Crescenzo, Franco; Ostinelli, Edoardo; Tomlinson, Anneka; Cipriani, Andrea (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. ... -
Development and validation of a prediction model for the probability of responding to placebo in antidepressant trials: a pooled analysis of individual patient data
Cipriani, Andrea (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 dose-effect network meta-analysis model: an application in antidepressants
Cipriani, Andrea (2021-04)Network meta-analysis (NMA) has been used to answer a range of clinical questions about the preferable intervention for a given condition. Although the effectiveness and safety of pharmacological agents depend on the dose ... -
Dose–effect meta-analysis for psychopharmacological interventions using randomised data
Cipriani, Andrea (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 ... -
A dose–effect network meta-analysis model with application in antidepressants using restricted cubic splines
Cipriani, Andrea (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 ... -
Effectiveness and Acceptability of Cognitive Behavior Therapy Delivery Formats in Adults With Depression A Network Meta-analysis
Cipriani, Andrea (2019-04)Importance Cognitive behavior therapy (CBT) has been shown to be effective in the treatment of acute depression. However, whether CBT can be effectively delivered in individual, group, telephone-administered, guided ... -
Efficacy and acceptability of next step treatment strategies in adults with treatment-resistant major depressive disorder: protocol for systematic review and network meta-analysis
Cipriani, Andrea (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 ... -
Identifying outcomes for depression that matter to patients, informal caregivers, and health-care professionals: qualitative content analysis of a large international online survey
Cipriani, Andrea (2020-07)Many clinical trials have assessed treatments for depressive disorders and bipolar depression. However, whether, and which, assessed outcome domains really matter to patients, informal caregivers, and health-care professionals ... -
Important adverse events to be evaluated in antidepressant trials and meta-analyses in depression: a large international preference study including patients and healthcare professionals
Tomlinson, Anneka; Henshall, Catherine; Cipriani, Andrea (2022-07)Background: Non-serious adverse events (NSAEs) should be captured and reported because they can have a significant negative impact on patients and treatment adherence. However, the reporting of NSAEs in randomised controlled ... -
Initial treatment choices to achieve sustained response in major depression: a systematic review and network meta-analysis
Cipriani, Andrea; Ostinelli, Edoardo (2021-10)Major depression is often a relapsing disorder. It is therefore important to start its treatment with therapies that maximize the chance of not only getting the patients well but also keeping them well. We examined the ... -
Natural language processing for structuring clinical text data on depression using UK-CRIS
De Crescenzo, Franco; Harvey, Jade; Cipriani, Andrea (2020-02)Background Utilisation of routinely collected electronic health records from secondary care offers unprecedented possibilities for medical science research but can also present difficulties. One key issue is that medical ... -
Network meta-analysis of antidepressants – Authors' reply
Cipriani, Andrea; Geddes, John R (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
Cowen, Philip J; Cipriani, Andrea (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
Kernot, Catherine; Cipriani, Andrea (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
Cipriani, Andrea (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 ...