Search results (9)
« Back to PublicationsPersonalising Antidepressant Treatment for Unipolar Depression Combining Individual Choices, Risks and big Data: The PETRUSHKA Tool: Personnalisation du traitement antidépresseur de la dépression unipolaire associant choix individuels, risques et mégadonnées: l'outil PETRUSHKA.
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Ostinelli EG. et al, (2025), Can J Psychiatry, 70, 768 - 781
A dose-effect network meta-analysis model with application in antidepressants using restricted cubic splines.
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Hamza T. et al, (2024), Stat Methods Med Res, 33, 1461 - 1472
New living evidence resource of human and non-human studies for early intervention and research prioritisation in anxiety, depression and psychosis.
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Cipriani A. et al, (2023), BMJ Ment Health, 26
Teaching Telepsychiatry Skills: Building on the Lessons of the COVID-19 Pandemic to Enhance Mental Health Care in the Future.
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Smith K. et al, (2022), JMIR Ment Health, 9
Impact of the COVID-19 Pandemic on the Global Delivery of Mental Health Services and Telemental Health: Systematic Review.
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Zangani C. et al, (2022), JMIR Ment Health, 9
Assessment of blinding in randomized controlled trials of antidepressants for depressive disorders 2000-2020: A systematic review and meta-analysis.
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Lin Y-H. et al, (2022), EClinicalMedicine, 50
Associations between mental and physical conditions in children and adolescents: An umbrella review.
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Arrondo G. et al, (2022), Neurosci Biobehav Rev, 137
Efficacy and acceptability of next step treatment strategies in adults with treatment-resistant major depressive disorder: protocol for systematic review and network meta-analysis.
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Muit JJ. et al, (2022), BMJ Open, 12
Personalized Prediction of Alzheimer's Disease and Its Treatment Effects by Donepezil: An Individual Participant Data Meta-Analysis of Eight Randomized Controlled Trials.
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Yoshida K. et al, (2022), J Alzheimers Dis, 89, 1143 - 1157