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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. ...
Representation and Outcomes of Individuals With Schizophrenia Seen in Everyday Practice Who Are Ineligible for Randomized Clinical Trials
(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 ...
Important adverse events to be evaluated in antidepressant trials and meta-analyses in depression: a large international preference study including patients and healthcare professionals
(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 ...
Comparative effects of pharmacological interventions for the acute and long-term management of insomnia disorder in adults: a systematic review and network meta-analysis
(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 ...