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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

The Lancet (British edition), 2022-07, Vol.400 (10347), p.170-184

2022

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Antidepressants in Children and Adolescents: Meta-Review of Efficacy, Tolerability and Suicidality in Acute Treatment

Frontiers in psychiatry, 2020-09, Vol.11, p.717-717

2020

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Low attentive and high impulsive rats: A translational animal model of ADHD and disorders of attention and impulse control

Pharmacology & therapeutics (Oxford), 2016-02, Vol.158, p.41-51

2016

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Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression

BMC psychiatry, 2022-05, Vol.22 (1), p.337-337, Article 337

2022

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Experiences of Weight-Loss Surgery in People With Serious Mental Illness: A Qualitative Study

Frontiers in psychiatry, 2020-05, Vol.11, p.419-419

2020

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Putative therapeutic targets for symptom subtypes of adult ADHD: D4 receptor agonism and COMT inhibition improve attention and response inhibition in a novel translational animal model

European neuropsychopharmacology, 2015-04, Vol.25 (4), p.454-467

2015

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Comparative efficacy and acceptability of antidepressants in the long-term treatment of major depression: protocol for a systematic review and networkmeta-analysis

BMJ open, 2019-05, Vol.9 (5), p.e027574-e027574

2019

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Predicting outcomes at the individual patient level: what is the best method?

BMJ mental health, 2023-06, Vol.26 (1), p.e300701

2023

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Assessment of blinding in randomized controlled trials of antidepressants for depressive disorders 2000–2020: A systematic review and meta-analysis

EClinicalMedicine, 2022-08, Vol.50, p.101505-101505, Article 101505

2022

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Side effect profile and comparative tolerability of 21 antidepressants in the acute treatment of major depression in adults: protocol for a network meta-analysis

Evidence-based mental health, 2019-05, Vol.22 (2), p.61-66

2019

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Meta-Review: Network Meta-Analyses in Child and Adolescent Psychiatry

Journal of the American Academy of Child and Adolescent Psychiatry, 2019-02, Vol.58 (2), p.167-179

2019

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Providing the most appropriate care to our individual patients

Evidence-based mental health, 2019-02, Vol.22 (1), p.1-2

2019

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Predicting treatment effects in unipolar depression: A meta-review

Pharmacology & therapeutics (Oxford), 2020-08, Vol.212, p.107557-107557, Article 107557

2020

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The times they are a-changin

Evidence-based mental health, 2018-08, Vol.21 (3), p.81-81

2018

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Treatments in the pipeline for attention-deficit/hyperactivity disorder (ADHD) in adults

Neuroscience and biobehavioral reviews, 2024-08, Vol.163, p.105774, Article 105774

2024

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Identifying outcomes for depression that matter to patients, informal caregivers, and health-care professionals: qualitative content analysis of a large international online survey

The Lancet. Psychiatry, 2020-08, Vol.7 (8), p.692-702

2020

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Generating comparative evidence on new drugs and devices after approval

The Lancet (British edition), 2020-03, Vol.395 (10228), p.998-1010

2020

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Representation and Outcomes of Individuals With Schizophrenia Seen in Everyday Practice Who Are Ineligible for Randomized Clinical Trials

JAMA psychiatry (Chicago, Ill.), 2022-03, Vol.79 (3), p.210

2022

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Building trust in artificial intelligence and new technologies in mental health

Evidence-based mental health, 2022-05, Vol.25 (2), p.45-46

2022

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Withdrawal, dependence and adverse events of antidepressants: lessons from patients and data

Evidence-based mental health, 2019-11, Vol.22 (4), p.137-138

2019

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Individual Differences in Response to Antidepressants: A Meta-analysis of Placebo-Controlled Randomized Clinical Trials

JAMA psychiatry (Chicago, Ill.), 2021-05, Vol.78 (5), p.490

2021

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Personalise antidepressant treatment for unipolar depression combining individual choices, risks and big data (PETRUSHKA): rationale and protocol

Evidence-based mental health, 2020-05, Vol.23 (2), p.52-56

2020

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One step closer to personalised prescribing of antidepressants: using real-world data together with patients and clinicians' preferences

Evidence-based mental health, 2019-08, Vol.22 (3), p.91-92

2019

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Important adverse events to be evaluated in antidepressant trials and meta-analyses in depression: a large international preference study including patients and healthcare professionals

Evidence-based mental health, 2022-12, Vol.25 (e1), p.e41-e48

2022

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Natural language processing for structuring clinical text data on depression using UK-CRIS

Evidence-based mental health, 2020-02, Vol.23 (1), p.21-26

2020

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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

Antidepressants in Children and Adolescents: Meta-Review of Efficacy, Tolerability and Suicidality in Acute Treatment

Low attentive and high impulsive rats: A translational animal model of ADHD and disorders of attention and impulse control

Development and validation of a meta-learner for combining statistical and machine learning prediction models in individuals with depression

Experiences of Weight-Loss Surgery in People With Serious Mental Illness: A Qualitative Study

Putative therapeutic targets for symptom subtypes of adult ADHD: D4 receptor agonism and COMT inhibition improve attention and response inhibition in a novel translational animal model

Comparative efficacy and acceptability of antidepressants in the long-term treatment of major depression: protocol for a systematic review and networkmeta-analysis

Predicting outcomes at the individual patient level: what is the best method?

Assessment of blinding in randomized controlled trials of antidepressants for depressive disorders 2000–2020: A systematic review and meta-analysis

Side effect profile and comparative tolerability of 21 antidepressants in the acute treatment of major depression in adults: protocol for a network meta-analysis

Meta-Review: Network Meta-Analyses in Child and Adolescent Psychiatry

Providing the most appropriate care to our individual patients

Predicting treatment effects in unipolar depression: A meta-review

The times they are a-changin

Treatments in the pipeline for attention-deficit/hyperactivity disorder (ADHD) in adults

Identifying outcomes for depression that matter to patients, informal caregivers, and health-care professionals: qualitative content analysis of a large international online survey

Generating comparative evidence on new drugs and devices after approval

Representation and Outcomes of Individuals With Schizophrenia Seen in Everyday Practice Who Are Ineligible for Randomized Clinical Trials

Building trust in artificial intelligence and new technologies in mental health

Withdrawal, dependence and adverse events of antidepressants: lessons from patients and data

Individual Differences in Response to Antidepressants: A Meta-analysis of Placebo-Controlled Randomized Clinical Trials

Personalise antidepressant treatment for unipolar depression combining individual choices, risks and big data (PETRUSHKA): rationale and protocol

One step closer to personalised prescribing of antidepressants: using real-world data together with patients and clinicians' preferences

Important adverse events to be evaluated in antidepressant trials and meta-analyses in depression: a large international preference study including patients and healthcare professionals

Natural language processing for structuring clinical text data on depression using UK-CRIS

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