Browsing Depressive Disorders by Author "Ostinelli, Edoardo"
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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. ... -
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 ... -
Optimal dose of brexpiprazole for augmentation therapy of antidepressant-refractory depression: A systematic review and dose-effect meta-analysis
Ostinelli, Edoardo (2022-06)Background: Brexpiprazole augmentation is an effective treatment strategy for antidepressant-refractory depression, but its optimal dosage remains unclear. Aims: To find the optimal dosage of brexpiprazole as augmentation ... -
Pro-dopaminergic pharmacological interventions for anhedonia in depression: protocol for a living systematic review of human and non-human studies
Ostinelli, Edoardo; Browning, Michael; Cipriani, Andrea; Harmer, Catherine J (2023-10)Anhedonia is a key symptom of depression, and it has been suggested as a potential target for future individualised treatments. However, much is unknown about how interventions enhancing dopaminergic pathways may affect ... -
Towards precision in the diagnostic profiling of patients: leveraging symptom dynamics in the assessment of major depressive disorder
Ostinelli, Edoardo; Cipriani, Andrea (2023-08)Major depressive disorder (MDD) is a heterogeneous mental disorder. International guidelines present overall symptom severity as the key dimension for clinical characterisation. However, additional layers of individual ...