The clinical effectiveness of using a predictive algorithm to guide antidepressant treatment in primary care (PReDicT): an open-label, randomised controlled trial
Michael Browning(Oxford Health NHS Foundation Trust), Gerard R. Dawson(HR Wallingford), Andreas Menke(Klinik und Poliklinik für Psychiatrie und Psychotherapie), Dick J. Veltman(Vrije Universiteit Amsterdam), Jonathan Kingslake, Anne G. Lever(Amsterdam University Medical Centers), Guy M. Goodwin(Warneford Hospital), Philip Gorwood(Inserm), Boliang Guo(University of Nottingham), Michael Stäblein(Goethe University Frankfurt), Jürgen Deckert(University of Würzburg), Víctor Pérez(Centre National de la Recherche Scientifique), Andreas Reif(University of Würzburg), Matilde Elices(Centro de Investigación Biomédica en Red de Salud Mental), Richard Morriss(University of Nottingham), Judit Simon(Medical University of Vienna), Amy C. Bilderbeck(The University of Melbourne), Anneke van Schaik(Amsterdam Public Health), Colin T. Dourish(University of Oxford), Rebecca Dias, Elisabetta Scanferla(FHU Neurovasc), Henricus G. Ruhé(Radboud University Nijmegen), Catherine J. Harmer(Warneford Hospital)
Cited by 56
Related Papers
Comparative Efficacy and Acceptability of 21 Antidepressant Drugs for the Acute Treatment of Adults With Major Depressive Disorder: A Systematic Review and Network Meta-Analysis
|The Lancet|2018|3.5k
How mental health care should change as a consequence of the COVID-19 pandemic
|The Lancet Psychiatry|2020|1.9k
Cognitive dysfunction in psychiatric disorders: characteristics, causes and the quest for improved therapy
|Nature Reviews Drug Discovery|2012|1.3k
The consequences of the COVID-19 pandemic on mental health and implications for clinical practice
|European Psychiatry|2020|1.2k
Subcortical brain alterations in major depressive disorder: findings from the ENIGMA Major Depressive Disorder working group
|Molecular Psychiatry|2015|1.2k