Predicting treatment resistance in positive and negative symptom domains from first episode psychosis: Development of a clinical prediction model

Treatment resistance of positive symptoms can be accurately predicted from FEP using routinely collected baseline data, however prediction of negative domain-TR remains a challenge. Detailed negative symptom domains, clinical data, and biomarkers should be considered in future longitudinal studies.

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Publication Details

Journal
Schizophrenia Research
Published
2024-09-10
DOI
https://doi.org/10.1016/j.schres.2024.09.010
Citations
4
Primary Topic
Schizophrenia research and treatment
Type
article
Field-Weighted Citation Impact
1.54

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article

Predicting treatment resistance in positive and negative symptom domains from first episode psychosis: Development of a clinical prediction model

Stephen James Wood, Nick Freemantle, Paris Alexandros Lalousis, Laura Bravo-Merodio et al.
4 citations
Schizophrenia Research
Schizophrenia research and treatment
1.54
article

Predicting treatment resistance in positive and negative symptom domains from first episode psychosis: Development of a clinical prediction model

Stephen James Wood, Nick Freemantle, Paris Alexandros Lalousis, Laura Bravo-Merodio, Rachel Upthegrove, David Fowler, Linda Everard, Peter Brian Jones, Swaran P. Singh, Max Birchwood, Siân Lowri Griffiths, Georgios V. Gkoutos, Rebecca Lee, Joanne Hodegkins, Tim Amos
article en
4 citations

Abstract

Treatment resistance of positive symptoms can be accurately predicted from FEP using routinely collected baseline data, however prediction of negative domain-TR remains a challenge. Detailed negative symptom domains, clinical data, and biomarkers should be considered in future longitudinal studies.

Schizophrenia ResearchVol. 274
University of East Anglia (GB), University of Sussex (GB), King's College London (GB), University of Cambridge (GB), Birmingham and Solihull Mental Health NHS Foundation Trust (GB), University of Bristol (GB), University of Warwick (GB), Mental Health Foundation (GB), MRC Clinical Trials Unit at UCL (GB), University College London (GB), University of Birmingham (GB)
National Institute for Health and Care Research, King's College London, University of Birmingham
Good health and well-being
Openalex Percentile: Top 16%
Schizophrenia research and treatment
1.54
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