Research groups
Colleges
Edoardo G. Ostinelli
MD, Psychiatrist, DPhil
Senior Researcher, OxPPL Deputy Lead
- Senior Researcher & Deputy Lead, Oxford Precision Psychiatry Lab (OxPPL), Department of Psychiatry, University of Oxford
- CRF Senior Medic, NIHR Oxford cognitive health Clinical Research Facility, Oxford Health NHS Foundation Trust, Oxford
- Honorary Consultant Psychiatrist, Oxford Health NHS Foundation Trust, Oxford
My research focuses on implementing evidence-based medicine in real-world practice, developing and optimising both precision medicine and shared decision-making to ensure people's voice is heard. I work closely with colleagues in precision medicine, statistics, and clinical decision-making (Universities of Bern, Copenhagen, Harvard, Kyoto, London, Munich, Ottawa, Tokyo, Southampton, and Toronto).
I developed the PETRUSHKA web-tool in collaboration with the Department of Computer Science (UOxford). The PETRUSHKA tool is an online interactive clinical decision support system (CDSS) which seeks to individualise treatment with antidepressants for depression in adults, using 1) data from randomised controlled trials, 2) data from observational studies, and 3) preferences elicited in real-time by individual patients using the PETRUSHKA tool. I was also the Lead Investigator in the UK for the randomised controlled trial evaluating the PETRUSHKA tool in the United Kingdom and Canada. Discover more on the PETRUSHKA trial here!
I am currently leading the development of an enhanced version of the tool, designed to incorporate genetic data with the aim of improving clinical care. By integrating genetic information, we seek to guide treatment choices across multiple antidepressants for depression. In parallel, we are using available data to better characterise individual patient profiles. For example, two adults with depression may achieve the same score on a rating questionnaire, yet their experiences and trajectories could be entirely different - nuances not captured by a metric alone. Personal preferences and values also play a significant role, which is why a substantial part of my research focuses on shared decision-making. Finally, I place strong emphasis on ensuring that realistic expectations are communicated regarding both the potential benefits and the possible side effects of treatment. This commitment underpins the final stream of my research: the communication of benefits and harms in medical interventions.
While the majority of my work within the OxPPL group focuses on depression, international collaborations have provided valuable opportunities to extend my research into other areas, including Attention Deficit Hyperactivity Disorder (ADHD), schizophrenia, migraine, and many others.
I also lecture on different subject areas related to psychiatry and research methodology for the MSc Clinical and Therapeutic Neuroscience Course within the University of Oxford; precision mental health at the Master in Evidence-based therapeutic approaches and evaluation methods for prevention and early intervention in mental health within the University of Verona; evidence synthesis methodology and how to perform basic and advanced meta-analysis on R at the Oxford Course on Systematic Review & Meta-Analysis for the University of Oxford; communication of benefit-risk information from network meta-analyses at the Oxford Course in Network Meta-Analysis for the University of Oxford.
Key publications
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Dismantling, optimising and personalising internet cognitive-behavioural therapy for depression: A systematic review and individual participant data component network meta-analysis
Journal article
CIPRIANI A., (2021), The Lancet Psychiatry
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Vitruvian plot: a visualisation tool for multiple outcomes in network meta-analysis.
Journal article
Ostinelli EG. et al, (2022), Evid Based Ment Health, 25, e65 - e70
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Comparative efficacy and acceptability of psychological interventions for the treatment of adult outpatients with anorexia nervosa: a systematic review and network meta-analysis.
Journal article
Solmi M. et al, (2021), Lancet Psychiatry, 8, 215 - 224
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Comparative effects of pharmacological interventions for the acute and long-term management of insomnia disorder in adults: a systematic review and network meta-analysis.
Journal article
De Crescenzo F. et al, (2022), Lancet, 400, 170 - 184
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Antidepressant prescriptions have not fully reflected evolving evidence from cumulative network meta-analyses and guideline recommendations.
Journal article
Luo Y. et al, (2021), J Clin Epidemiol, 133, 14 - 23
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Depressive symptoms and depression in individuals with internet gaming disorder: A systematic review and meta-analysis.
Journal article
Ostinelli EG. et al, (2021), J Affect Disord, 284, 136 - 142
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Different control conditions can produce different effect estimates in psychotherapy trials for depression
Journal article
Michopoulos I. et al, (2021), Journal of Clinical Epidemiology, 132, 59 - 70
Recent publications
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Development and evaluation of prompts for a large language model to screen titles and abstracts in a living systematic review.
Journal article
Homiar A. et al, (2025), BMJ Ment Health, 28
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The value of mental science: we publish what matters.
Journal article
Malhi GS. et al, (2025), Br J Psychiatry, 1 - 5
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The therapeutic potential of exercise in post-traumatic stress disorder and its underlying mechanisms: A living systematic review of human and non-human studies
Journal article
Wright S. et al, (2025), Wellcome Open Research, 9, 720 - 720
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Does ADHD treatment inefficacy question its diagnostic validity? – Authors' reply
Journal article
Ostinelli EG. et al, (2025), The Lancet Psychiatry, 12, 329 - 330
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Neuropsychiatric Outcomes in Children and Adolescents With Perinatally Acquired HIV: A Systematic Review and Meta-Analysis.
Conference paper
Horton RH. et al, (2025), J Acquir Immune Defic Syndr, 98, 411 - 428
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The therapeutic potential of exercise in post-traumatic stress disorder and its underlying mechanisms: A living systematic review of human and non-human studies
Journal article
Wright S. et al, (2025), Wellcome Open Research, 9, 720 - 720
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Comparative cardiovascular safety of medications for attention-deficit hyperactivity disorder in children, adolescents, and adults: a systematic review and network meta-analysis.
Journal article
Farhat LC. et al, (2025), Lancet Psychiatry
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Personalising 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.
Journal article
Ostinelli EG. et al, (2025), Can J Psychiatry
