The clinical effectiveness of using a predictive algorithm to guide antidepressant treatment in primary care (PReDicT): an open-label, randomised controlled trial

Depressed patients often do not respond to the first antidepressant prescribed, resulting in sequential trials of different medications. Personalised medicine offers a means of reducing this delay; however, the clinical effectiveness of personalised approaches to antidepressant treatment has not pre...

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Veröffentlicht in:	Neuropsychopharmacology Jg. 46; H. 7; S. 1307 - 1314
Hauptverfasser:	Browning, Michael, Bilderbeck, Amy C, Dias, Rebecca, Dourish, Colin T, Kingslake, Jonathan, Deckert, Jürgen, Goodwin, Guy M, Gorwood, Philip, Guo, Boliang, Harmer, Catherine J, Morriss, Richard, Reif, Andreas, Ruhe, Henricus G, van Schaik, Anneke, Simon, Judit, Sola, Victor Perez, Veltman, Dick J, Elices, Matilde, Lever, Anne G, Menke, Andreas, Scanferla, Elisabetta, Stäblein, Michael, Dawson, Gerard R
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Nature Publishing Group 01.06.2021
Schlagworte:	Algorithms Antidepressants Anxiety Clinical trials Cognition Human health and pathology Life Sciences Mental depression Patients Precision medicine
ISSN:	0893-133X, 1740-634X, 1740-634X, 0007-0920
Online-Zugang:	Volltext
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