ArticleMolecular psychiatry2021
Topology predicts long-term functional outcome in early psychosis.
Article in Molecular psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Measures of Social and Occupational Function in Early Psychosis: A Systematic Review and Meta-analysis.Schizophrenia bulletin · 2024Pooled it
- MesoSCOUT: A novel tool for revealing mesoscale organization in the white-matter connectome.bioRxiv : the preprint server for biology · 2025Article
- Illness Phase as a Key Assessment and Intervention Window for Psychosis.Biological psychiatry global open science · 2023Review
- Topological data analysis in biomedicine: A review.Journal of biomedical informatics · 2022Review
- Is There a Glutathione Centered Redox Dysregulation Subtype of Schizophrenia?Antioxidants (Basel, Switzerland) · 2021Review
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early intervention in psychosis is crucial to improving patient response to treatment and the functional deficits that critically affect their long-term quality of life. Stratification tools are needed to personalize functional deficit prevention strategies at an early stage. In the present study, we applied topological tools to analyze symptoms of early psychosis patients, and detected a clear stratification of the cohort into three groups. One of the groups had a significantly better psychosocial outcome than the others after a 3-year clinical follow-up. This group was characterized by a metabolic profile indicative of an activated antioxidant response, while that of the groups with poorer outcome was indicative of oxidative stress. We replicated in a second cohort the finding that the three distinct clinical profiles at baseline were associated with distinct outcomes at follow-up, thus validating the predictive value of this new stratification. This approach could assist in personalizing treatment strategies.
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