Browsing by Author "Tomlinson, Anneka"
Now showing items 1-6 of 6
-
Comparative effects of pharmacological interventions for the acute and long-term management of insomnia disorder in adults: a systematic review and network meta-analysis
De Crescenzo, Franco; Ostinelli, Edoardo; Kurtulmus, Ayse; Tomlinson, Anneka; Quested, Digby J; Cowen, Philip J; Efthimiou, Orestis; Cipriani, Andrea (2022-07)Background: Behavioural, cognitive, and pharmacological interventions can all be effective for insomnia. However, because of inadequate resources, medications are more frequently used worldwide. We aimed to estimate the ... -
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. ... -
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 ... -
The Kilim plot: A tool for visualizing network meta‐analysis results for multiple outcomes
Cipriani, Andrea; Tomlinson, Anneka (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 ... -
Predicting treatment effects in unipolar depression: A meta-review
Tomlinson, Anneka; Cipriani, Andrea (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 ... -
Representation and Outcomes of Individuals With Schizophrenia Seen in Everyday Practice Who Are Ineligible for Randomized Clinical Trials
Cipriani, Andrea; Tomlinson, Anneka (2022-02)IMPORTANCE Most evidence about efficacy and safety of antipsychotics in schizophrenia spectrum disorders relies on randomized clinical trials (RCTs). However, owing to their strict eligibility criteria, RCTs represent ...