Schizophrenia is a highly heterogeneous disorder with variable onset, symptom patterns, and long-term outcomes. The onset of schizophrenia is thought to arise from the interaction between neurobiological vulnerability and environmental exposures during development. The disease course is often fluctuating, with episodic exacerbations and periods of remission. Core symptom domains in schizophrenia include positive, negative, disorganization, cognitive, and affective. Each symptom domain of schizophrenia can follow distinct trajectories and may carry prognostic significance across stages of illness.

This slide deck was developed by Professor Dr.  Ana Catalán Alcántara, University of the Basque Country, Leioa, Spain; and Professor Dr. Christoph Correll, Charité – Universitätsmedizin Berlin, Germany, in collaboration with Cambridge (a division of Prime, Cambridge, UK).

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slide deck

Course, natural history, and prognosis

Course, natural history, and prognosis
Course, natural history, and prognosis
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Overview of the course and prognosis of schizophrenia

The course and prognosis of schizophrenia
The course and prognosis of schizophrenia
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Symptom domains and early development in schizophrenia

Symptom domains and early development in schizophrenia
Symptom domains and early development in schizophrenia
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Symptom domains in schizophrenia
Symptom domains in schizophrenia

The Liddle framework identifies psychomotor poverty (e.g., reduced speech and movement), disorganization (e.g., thought disorder and inappropriate affect), and reality distortion (e.g., delusions and hallucinations) as distinct but related syndromes.2 This model expanded …

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Early course of schizophrenia

Early course of schizophrenia
Early course of schizophrenia
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Transdiagnostic clinical staging
Transdiagnostic clinical staging

Traditional clinical staging is unidirectional and fails to account for the dynamic course of schizophrenia.1 Dynamic models may enhance prognosis prediction and guide individualized treatment, within and across stages.1

References:
1. Scott J, Iorfino F, Capon W, et al. …

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Clinical high-risk for psychosis
Clinical high-risk for psychosis

Several assessment tools have been developed to identify individuals at clinical high risk for psychosis, particularly in the early stages before a full psychotic disorder emerges. Three key assessment tools are described below.

  • The CAARMS is a semi-structured interview …
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Initial presentation in first-episode psychosis
Initial presentation in first-episode psychosis

In the figure, each circle (node) represents a symptom, and the lines between nodes represent statistical associations between symptoms.2 Symptoms are grouped by clinical scale: orange nodes represent depressive symptoms from the CDSS, blue nodes represent negative sympto…

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