Clinical predictors of antipsychotic treatment resistance: Development and internal validation of a prognostic prediction model by the STRATA-G consortium

INTRODUCTION: Our aim was to, firstly, identify characteristics at first-episode of psychosis that are associated with later antipsychotic treatment resistance (TR) and, secondly, to develop a parsimonious prediction model for TR. METHODS: We combined data from ten prospective, first-episode psychos...

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Detalles Bibliográficos
Autores principales: Smart, Sophie E., Agbedjro, Deborah, Pardiñas, Antonio F., Ajnakina, Olesya, Alameda, Luis, Andreassen, Ole A., Barnes, Thomas R.E., Berardi, Domenico, Camporesi, Sara, Cleusix, Martine, Conus, Philippe, Crespo-Facorro, Benedicto, D'Andrea, Giuseppe, Demjaha, Arsime, Di Forti, Marta, Do, Kim, Doody, Gillian, Eap, Chin B., Ferchiou, Aziz, Guidi, Lorenzo, Homman, Lina, Jenni, Raoul, Joyce, Eileen, Kassoumeri, Laura, Lastrina, Ornella, Melle, Ingrid, Morgan, Craig, O'Neill, Francis A., Pignon, Baptiste, Restellini, Romeo, Richard, Jean-Romain, Simonsen, Carmen, Španiel, Filip, Szöke, Andrei, Tarricone, Ilaria, Tortelli, Andrea, Üçok, Alp, Vázquez-Bourgon, Javier, Murray, Robin M., Walters, James T.R., Stahl, Daniel, MacCabe, James H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science Publisher B. V 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9834064/
https://www.ncbi.nlm.nih.gov/pubmed/36242784
http://dx.doi.org/10.1016/j.schres.2022.09.009

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9834064/
https://www.ncbi.nlm.nih.gov/pubmed/36242784
http://dx.doi.org/10.1016/j.schres.2022.09.009

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