2019
DOI: 10.1101/599498
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Implications of data-driven analyses for personalized therapy in psychosis: a systematic review of cluster- and trajectory-based modelling studies

Abstract: = 244 words Text body = 4,558 words Abstract Introduction: To tackle the phenotypic heterogeneity of schizophrenia, data-driven methods are often applied to identify subtypes of its (sub)clinical symptoms though there is no systematic review. Aims: To summarize the evidence from cluster-and trajectory-based studies of positive, negative and cognitive symptoms in patients with schizophrenia spectrum disorders, their siblings and healthy people. Additionally, we aimed to highlight knowledge gaps and point out fu… Show more

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Cited by 3 publications
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“…The symptoms of schizophrenia are generally categorized as positive, negative, and disorganized (American Psychiatric Association, 2013). Symptoms are heterogeneous and occur in a wide variety of combinations throughout the global population (Habtewold et al, 2019).…”
Section: Symptomsmentioning
confidence: 99%
“…The symptoms of schizophrenia are generally categorized as positive, negative, and disorganized (American Psychiatric Association, 2013). Symptoms are heterogeneous and occur in a wide variety of combinations throughout the global population (Habtewold et al, 2019).…”
Section: Symptomsmentioning
confidence: 99%