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Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol
Schizophrenia spectrum disorders (SSDs) are associated with significant functional impairments, disability, and low rates of personal recovery, along with tremendous economic costs linked primarily to lost productivity and premature mortality. Efforts to delineate the contributors to disability in S...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513234/ https://www.ncbi.nlm.nih.gov/pubmed/37733693 http://dx.doi.org/10.1371/journal.pone.0288354 |
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author | Agarwal, Sri Mahavir Dissanayake, Joel Agid, Ofer Bowie, Christopher Brierley, Noah Chintoh, Araba De Luca, Vincenzo Diaconescu, Andreea Gerretsen, Philip Graff-Guerrero, Ariel Hawco, Colin Herman, Yarissa Hill, Sean Hum, Kathryn Husain, Muhammad Omair Kennedy, James L. Kiang, Michael Kidd, Sean Kozloff, Nicole Maslej, Marta Mueller, Daniel J. Naeem, Farooq Neufeld, Nicholas Remington, Gary Rotenberg, Martin Selby, Peter Siddiqui, Ishraq Szacun-Shimizu, Kate Tiwari, Arun K. Thirunavukkarasu, Shanthos Wang, Wei Yu, Joanna Zai, Clement C. Zipursky, Robert Hahn, Margaret Foussias, George |
author_facet | Agarwal, Sri Mahavir Dissanayake, Joel Agid, Ofer Bowie, Christopher Brierley, Noah Chintoh, Araba De Luca, Vincenzo Diaconescu, Andreea Gerretsen, Philip Graff-Guerrero, Ariel Hawco, Colin Herman, Yarissa Hill, Sean Hum, Kathryn Husain, Muhammad Omair Kennedy, James L. Kiang, Michael Kidd, Sean Kozloff, Nicole Maslej, Marta Mueller, Daniel J. Naeem, Farooq Neufeld, Nicholas Remington, Gary Rotenberg, Martin Selby, Peter Siddiqui, Ishraq Szacun-Shimizu, Kate Tiwari, Arun K. Thirunavukkarasu, Shanthos Wang, Wei Yu, Joanna Zai, Clement C. Zipursky, Robert Hahn, Margaret Foussias, George |
author_sort | Agarwal, Sri Mahavir |
collection | PubMed |
description | Schizophrenia spectrum disorders (SSDs) are associated with significant functional impairments, disability, and low rates of personal recovery, along with tremendous economic costs linked primarily to lost productivity and premature mortality. Efforts to delineate the contributors to disability in SSDs have highlighted prominent roles for a diverse range of symptoms, physical health conditions, substance use disorders, neurobiological changes, and social factors. These findings have provided valuable advances in knowledge and helped define broad patterns of illness and outcomes across SSDs. Unsurprisingly, there have also been conflicting findings for many of these determinants that reflect the heterogeneous population of individuals with SSDs and the challenges of conceptualizing and treating SSDs as a unitary categorical construct. Presently it is not possible to identify the functional course on an individual level that would enable a personalized approach to treatment to alter the individual’s functional trajectory and mitigate the ensuing disability they would otherwise experience. To address this ongoing challenge, this study aims to conduct a longitudinal multimodal investigation of a large cohort of individuals with SSDs in order to establish discrete trajectories of personal recovery, disability, and community functioning, as well as the antecedents and predictors of these trajectories. This investigation will also provide the foundation for the co-design and testing of personalized interventions that alter these functional trajectories and improve outcomes for people with SSDs. |
format | Online Article Text |
id | pubmed-10513234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-105132342023-09-22 Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol Agarwal, Sri Mahavir Dissanayake, Joel Agid, Ofer Bowie, Christopher Brierley, Noah Chintoh, Araba De Luca, Vincenzo Diaconescu, Andreea Gerretsen, Philip Graff-Guerrero, Ariel Hawco, Colin Herman, Yarissa Hill, Sean Hum, Kathryn Husain, Muhammad Omair Kennedy, James L. Kiang, Michael Kidd, Sean Kozloff, Nicole Maslej, Marta Mueller, Daniel J. Naeem, Farooq Neufeld, Nicholas Remington, Gary Rotenberg, Martin Selby, Peter Siddiqui, Ishraq Szacun-Shimizu, Kate Tiwari, Arun K. Thirunavukkarasu, Shanthos Wang, Wei Yu, Joanna Zai, Clement C. Zipursky, Robert Hahn, Margaret Foussias, George PLoS One Study Protocol Schizophrenia spectrum disorders (SSDs) are associated with significant functional impairments, disability, and low rates of personal recovery, along with tremendous economic costs linked primarily to lost productivity and premature mortality. Efforts to delineate the contributors to disability in SSDs have highlighted prominent roles for a diverse range of symptoms, physical health conditions, substance use disorders, neurobiological changes, and social factors. These findings have provided valuable advances in knowledge and helped define broad patterns of illness and outcomes across SSDs. Unsurprisingly, there have also been conflicting findings for many of these determinants that reflect the heterogeneous population of individuals with SSDs and the challenges of conceptualizing and treating SSDs as a unitary categorical construct. Presently it is not possible to identify the functional course on an individual level that would enable a personalized approach to treatment to alter the individual’s functional trajectory and mitigate the ensuing disability they would otherwise experience. To address this ongoing challenge, this study aims to conduct a longitudinal multimodal investigation of a large cohort of individuals with SSDs in order to establish discrete trajectories of personal recovery, disability, and community functioning, as well as the antecedents and predictors of these trajectories. This investigation will also provide the foundation for the co-design and testing of personalized interventions that alter these functional trajectories and improve outcomes for people with SSDs. Public Library of Science 2023-09-21 /pmc/articles/PMC10513234/ /pubmed/37733693 http://dx.doi.org/10.1371/journal.pone.0288354 Text en © 2023 Agarwal et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Study Protocol Agarwal, Sri Mahavir Dissanayake, Joel Agid, Ofer Bowie, Christopher Brierley, Noah Chintoh, Araba De Luca, Vincenzo Diaconescu, Andreea Gerretsen, Philip Graff-Guerrero, Ariel Hawco, Colin Herman, Yarissa Hill, Sean Hum, Kathryn Husain, Muhammad Omair Kennedy, James L. Kiang, Michael Kidd, Sean Kozloff, Nicole Maslej, Marta Mueller, Daniel J. Naeem, Farooq Neufeld, Nicholas Remington, Gary Rotenberg, Martin Selby, Peter Siddiqui, Ishraq Szacun-Shimizu, Kate Tiwari, Arun K. Thirunavukkarasu, Shanthos Wang, Wei Yu, Joanna Zai, Clement C. Zipursky, Robert Hahn, Margaret Foussias, George Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol |
title | Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol |
title_full | Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol |
title_fullStr | Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol |
title_full_unstemmed | Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol |
title_short | Characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (PREDICTS study): Study protocol |
title_sort | characterization and prediction of individual functional outcome trajectories in schizophrenia spectrum disorders (predicts study): study protocol |
topic | Study Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513234/ https://www.ncbi.nlm.nih.gov/pubmed/37733693 http://dx.doi.org/10.1371/journal.pone.0288354 |
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