[artículo] 
inThe Journal of Clinical Psychiatry > Año 2010 - Vol. 71 - No. 11 (Noviembre) . - pp. 1502-1508

Título :	Recursive subsetting to identify patients in the STAR*D : a method to enhance the accuracy of early prediction of treatment outcome and to inform personalized care
Tipo de documento:	texto impreso
Autores:	Anthony Y. C. Kuk, Autor ; Jialiang Li, Autor ; Augustus John Rush, Autor
Fecha de publicación:	2022
Artículo en la página:	pp. 1502-1508
Idioma :	Inglés (eng) Idioma original : Inglés (eng)
Palabras clave:	Citalopram, Trastorno depresivo - terapia farmacológica, Trastorno depresivo mayor, Medicina de Precisión, Inhibidores de la captación de serotonina.
Resumen:	There are currently no clinically useful assessments that can reliably predict--early in treatment--whether a particular depressed patient will respond to a particular antidepressant. We explored the possibility of using baseline features and early symptom change to predict which patients will and which patients will not respond to treatment.
Link:	./index.php?lvl=notice_display&id=28259

[artículo] Recursive subsetting to identify patients in the STAR*D : a method to enhance the accuracy of early prediction of treatment outcome and to inform personalized care [texto impreso] / Anthony Y. C. Kuk, Autor ; Jialiang Li, Autor ; Augustus John Rush, Autor . - 2022 . - pp. 1502-1508.
Idioma : Inglés (eng) Idioma original : Inglés (eng)
in The Journal of Clinical Psychiatry > Año 2010 - Vol. 71 - No. 11 (Noviembre) . - pp. 1502-1508

Palabras clave:	Citalopram, Trastorno depresivo - terapia farmacológica, Trastorno depresivo mayor, Medicina de Precisión, Inhibidores de la captación de serotonina.
Resumen:	There are currently no clinically useful assessments that can reliably predict--early in treatment--whether a particular depressed patient will respond to a particular antidepressant. We explored the possibility of using baseline features and early symptom change to predict which patients will and which patients will not respond to treatment.
Link:	./index.php?lvl=notice_display&id=28259