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An umbrella review of candidate predictors of response, remission, recovery, and relapse across mental disorders.
Solmi, Marco; Cortese, Samuele; Vita, Giovanni; De Prisco, Michele; Radua, Joaquim; Dragioti, Elena; Köhler-Forsberg, Ole; Madsen, Nanna M; Rohde, Christopher; Eudave, Luis; Aymerich, Claudia; Pedruzo, Borja; Rodriguez, Victoria; Rosson, Stella; Sabé, Michel; Hojlund, Mikkel; Catalan, Ana; de Luca, Beatrice; Fornaro, Michele; Ostuzzi, Giovanni; Barbui, Corrado; Salazar-de-Pablo, Gonzalo; Fusar-Poli, Paolo; Correll, Christoph U.
  • Solmi M; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Cortese S; Department of Psychiatry, University of Ottawa, Ottawa, ON, Canada.
  • Vita G; On Track: The Champlain First Episode Psychosis Program, Department of Mental Health, The Ottawa Hospital, Ottawa, ON, Canada.
  • De Prisco M; Ottawa Hospital Research Institute (OHRI) Clinical Epidemiology Program University of Ottawa, Ottawa, ON, Canada.
  • Radua J; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada.
  • Dragioti E; Centre for Innovation in Mental Health, School of Psychology, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK.
  • Köhler-Forsberg O; Clinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, Southampton, UK.
  • Madsen NM; Solent NHS Trust, Southampton, UK.
  • Rohde C; Hassenfeld Children's Hospital at NYU Langone, New York University Child Study Center, New York, NY, USA.
  • Eudave L; Division of Psychiatry and Applied Psychology, School of Medicine, University of Nottingham, Nottingham, UK.
  • Aymerich C; DiMePRe-J-Department of Precision and Regenerative Medicine-Jonic Area, University of Bari "Aldo Moro", Bari, Italy.
  • Pedruzo B; WHO Collaborating Centre for Research and Training in Mental Health and Service Evaluation, Department of Neuroscience, Biomedicine, and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy.
  • Rodriguez V; Bipolar and Depressive Disorders Unit, Hospìtal Clinic de Barcelona, c. Villarroel, 170, 08036, Barcelona, Spain.
  • Rosson S; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), c. Villarroel, 170, 08036, Barcelona, Spain.
  • Sabé M; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.
  • Hojlund M; Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Imaging of Mood- and Anxiety-Related Disorders (IMARD), CIBERSAM, University of Barcelona, Barcelona, Spain.
  • Catalan A; University of Ioannina, Research Laboratory Psychology of Patients, Families & Health Professionals, Department of Nursing, School of Health Sciences, Ioannina, Greece.
  • de Luca B; Linköping University, Pain and Rehabilitation Centre and Department of Health, Medicine and Caring Sciences, Linköping, Sweden.
  • Fornaro M; Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark.
  • Ostuzzi G; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
  • Barbui C; Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark.
  • Salazar-de-Pablo G; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
  • Fusar-Poli P; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
  • Correll CU; Department of Affective Disorders, Aarhus University Hospital - Psychiatry, Aarhus, Denmark.
Mol Psychiatry ; 28(9): 3671-3687, 2023 Sep.
Article en En | MEDLINE | ID: mdl-37957292
ABSTRACT
We aimed to identify diagnosis-specific/transdiagnostic/transoutcome multivariable candidate predictors (MCPs) of key outcomes in mental disorders. We conducted an umbrella review (protocol  link ), searching MEDLINE/Embase (19/07/2022), including systematic reviews of studies reporting on MCPs of response, remission, recovery, or relapse, in DSM/ICD-defined mental disorders. From published predictors, we filtered MCPs, validating MCP criteria. AMSTAR2/PROBAST measured quality/risk of bias of systematic reviews/individual studies. We included 117 systematic reviews, 403 studies, 299,888 individuals with mental disorders, testing 796 prediction models. Only 4.3%/1.2% of the systematic reviews/individual studies were at low risk of bias. The most frequently targeted outcome was remission (36.9%), the least frequent was recovery (2.5%). Studies mainly focused on depressive (39.4%), substance-use (17.9%), and schizophrenia-spectrum (11.9%) disorders. We identified numerous MCPs within disorders for response, remission and relapse, but none for recovery. Transdiagnostic MCPs of remission included lower disease-specific symptoms (disorders = 5), female sex/higher education (disorders = 3), and quality of life/functioning (disorders = 2). Transdiagnostic MCPs of relapse included higher disease-specific symptoms (disorders = 5), higher depressive symptoms (disorders = 3), and younger age/higher anxiety symptoms/global illness severity/ number of previous episodes/negative life events (disorders = 2). Finally, positive trans-outcome MCPs for depression included less negative life events/depressive symptoms (response, remission, less relapse), female sex (response, remission) and better functioning (response, less relapse); for schizophrenia, less positive symptoms/higher depressive symptoms (remission, less relapse); for substance use disorder, marital status/higher education (remission, less relapse). Male sex, younger age, more clinical symptoms and comorbid mental/physical symptoms/disorders were poor prognostic factors, while positive factors included social contacts and employment, absent negative life events, higher education, early access/intervention, lower disease-specific and comorbid mental and physical symptoms/conditions, across mental disorders. Current data limitations include high risk of bias of studies and extraction of single predictors from multivariable models. Identified MCPs can inform future development, validation or refinement of prediction models of key outcomes in mental disorders.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Esquizofrenia / Trastornos Mentales Tipo de estudio: Systematic_reviews Límite: Female / Humans / Male Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Esquizofrenia / Trastornos Mentales Tipo de estudio: Systematic_reviews Límite: Female / Humans / Male Idioma: En Año: 2023 Tipo del documento: Article