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An umbrella review of candidate predictors of response, remission, recovery, and relapse across mental disorders

An umbrella review of candidate predictors of response, remission, recovery, and relapse across mental disorders
An umbrella review of candidate predictors of response, remission, recovery, and relapse across mental disorders
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.
1359-4184
3671-3687
Solmi, Marco
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Cortese, Samuele
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Vita, Giovanni
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De Prisco, Michele
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Radua, Joaquim
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Dragioti, Elena
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Rohde, Christopher
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Eudave, Luis
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Aymerich, Claudia
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Pedruzo, Borja
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Hojlund, Mikkel
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Correll, Christoph U.
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Solmi, Marco
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Cortese, Samuele
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De Prisco, Michele
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Radua, Joaquim
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Dragioti, Elena
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Madsen, Nanna M.
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Eudave, Luis
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Aymerich, Claudia
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De Luca, Beatrice
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Fornaro, Michele
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Barbui, Corrado
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Salazar-de-Pablo, Gonzalo
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Fusar-poli, Paolo
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Correll, Christoph U.
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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 and Correll, Christoph U. (2023) An umbrella review of candidate predictors of response, remission, recovery, and relapse across mental disorders. Molecular Psychiatry, 28 (9), 3671-3687. (doi:10.1038/s41380-023-02298-3).

Record type: Review

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.

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Accepted/In Press date: 6 October 2023
Published date: 13 November 2023
Additional Information: Funding Information: CUC has been a consultant and/or advisor to or has received honoraria from: AbbVie, Acadia, Alkermes, Allergan, Angelini, Aristo, Boehringer-Ingelheim, Cardio Diagnostics, Cerevel, CNX Therapeutics, Compass Pathways, Darnitsa, Denovo, Gedeon Richter, Hikma, Holmusk, IntraCellular Therapies, Janssen/J&J, Karuna, LB Pharma, Lundbeck, MedAvante-ProPhase, MedInCell, Merck, Mindpax, Mitsubishi Tanabe Pharma, Mylan, Neurocrine, Newron, Noven, Novo Nordisk, Otsuka, Pharmabrain, PPD Biotech, Recordati, Relmada, Reviva, Rovi, Seqirus, SK Life Science, Sunovion, Sun Pharma, Supernus, Takeda, Teva, and Viatris. He provided expert testimony for Janssen and Otsuka. He served on a Data Safety Monitoring Board for Compass Pathways, Denovo, Lundbeck, Relmada, Reviva, Rovi, Supernus, and Teva. He has received grant support from Janssen and Takeda. He received royalties from UpToDate and is also a stock option holder of Cardio Diagnostics, Mindpax, LB Pharma and Quantic. CR received the 2020 Lundbeck Foundation Talent Prize. OK-F received honoraria for lectures for Lundbeck Pharma A/S and consultant work for WCG Clinical. MH has been consultant for or has received honoraria from: H. Lundbeck, The Lundbeck Foundation and Otsuka. MS received honoraria/has been a consultant for AbbVie, Angelini, Lundbeck, Otsuka. All other authors declare no conflict of interest. Funding Information: CR is supported by a grant from the Lundbeck Foundation (grant number: R358-2020-2342) and grants from the Novo Nordisk Foundation (grant numbers: NNF17SA0031406 and NNF14OC0011633). SC is currently supported by funding from the National Institute for Health and Care Research, NIHR (grants NIHR203684, NIHR203035, NIHR130077, NIHR128472, RP-PG-0618-20003), Solent NHS Trust (Researh Capability Funding, 2022), University of Southampton (Knowledge and Exchange Enterprise Fund 2023, Enterprise Development Fund 2022) and European Research Agency (Horizon: Project 101095568.). Open Access funding enabled and organized by Projekt DEAL. Publisher Copyright: © 2023, The Author(s).

Identifiers

Local EPrints ID: 485658
URI: http://eprints.soton.ac.uk/id/eprint/485658
ISSN: 1359-4184
PURE UUID: b9b6f9de-0271-459d-ade4-a32508cd6d6a
ORCID for Samuele Cortese: ORCID iD orcid.org/0000-0001-5877-8075

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Date deposited: 13 Dec 2023 17:39
Last modified: 18 Mar 2024 03:31

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Contributors

Author: Marco Solmi
Author: Samuele Cortese ORCID iD
Author: Giovanni Vita
Author: Michele De Prisco
Author: Joaquim Radua
Author: Elena Dragioti
Author: Ole Köhler-forsberg
Author: Nanna M. Madsen
Author: Christopher Rohde
Author: Luis Eudave
Author: Claudia Aymerich
Author: Borja Pedruzo
Author: Victoria Rodriguez
Author: Stella Rosson
Author: Michel Sabé
Author: Mikkel Hojlund
Author: Ana Catalan
Author: Beatrice De Luca
Author: Michele Fornaro
Author: Giovanni Ostuzzi
Author: Corrado Barbui
Author: Gonzalo Salazar-de-Pablo
Author: Paolo Fusar-poli
Author: Christoph U. Correll

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