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Predicting antidepressant treatment outcome based on socioeconomic status and citalopram dose.
Viglione, Aurelia; Chiarotti, Flavia; Poggini, Silvia; Giuliani, Alessandro; Branchi, Igor.
Afiliación
  • Viglione A; Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy.
  • Chiarotti F; BIO@SNS lab, Scuola Normale Superiore di Pisa, Pisa, Italy.
  • Poggini S; Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy.
  • Giuliani A; Center for Behavioral Sciences and Mental Health, Istituto Superiore di Sanità, Rome, Italy.
  • Branchi I; PhD Program in Behavioral Neuroscience, Sapienza University of Rome, Rome, Italy.
Pharmacogenomics J ; 19(6): 538-546, 2019 12.
Article en En | MEDLINE | ID: mdl-30723316

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Citalopram / Trastorno Depresivo Mayor / Antidepresivos Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Pharmacogenomics J Asunto de la revista: BIOLOGIA MOLECULAR / FARMACOLOGIA Año: 2019 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Citalopram / Trastorno Depresivo Mayor / Antidepresivos Tipo de estudio: Clinical_trials / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Pharmacogenomics J Asunto de la revista: BIOLOGIA MOLECULAR / FARMACOLOGIA Año: 2019 Tipo del documento: Article País de afiliación: Italia