Clinical Characteristics and Predictors of Outcome of Schizophrenia-Spectrum Psychosis in Children and Adolescents: A Systematic Review
Bibliographic record
Abstract
OBJECTIVE: Treatment of early-onset schizophrenia spectrum psychosis (EOS) is hampered by limited data on clinical presentation and illness course. We aimed to systematically review the clinical characteristics, diagnostic trajectories, and predictors of illness severity and outcomes of EOS. METHODS: We conducted a systematic PubMed, PsycINFO, and Embase literature review including studies published from January 1, 1990 to August 8, 2014 of EOS patients with 1) ≥50% nonaffective psychosis cases; 2) mean age of subjects <19 years; 3) clinical samples recruited through mental health services; 4) cross-sectional or prospective design; 5) ≥20 participants at baseline; 6) standardized/validated diagnostic instruments; and 7) quantitative psychotic symptom frequency or severity data. Exploratory analyses assessed associations among relevant clinical variables. RESULTS: Across 35 studies covering 28 independent samples (n = 1506, age = 15.6 years, age at illness onset = 14.5 years, males = 62.3%, schizophrenia-spectrum disorders = 89.0%), the most frequent psychotic symptoms were auditory hallucinations (81.9%), delusions (77.5%; mainly persecutory [48.5%], referential [35.1%], and grandiose [25.5%]), thought disorder (65.5%), bizarre/disorganized behavior (52.8%), and flat or blunted affect/negative symptoms (52.3%/50.4%). Mean baseline Positive and Negative Syndrome Scale (PANSS)-total, positive, and negative symptom scores were 84.5 ± 10.9, 19.3 ± 4.4 and 20.8 ± 2.9. Mean baseline Clinical Global Impressions-Severity and Children's Global Assessment Scale/Global Assessment of Functioning (CGAS/GAF) scores were 5.0 ± 0.7 and 35.5 ± 9.1. Comorbidity was frequent, particularly posttraumatic stress disorder (34.3%), attention-deficit/hyperactivity and/or disruptive behavior disorders (33.5%), and substance abuse/dependence (32.0%). Longer duration of untreated psychosis (DUP) predicted less CGAS/GAF improvement (p < 0.0001), and poor premorbid adjustment and a diagnosis of schizophrenia predicted less PANSS negative symptom improvement (p = 0.0048) at follow-up. Five studies directly comparing early-onset with adult-onset psychosis found longer DUP in EOP samples (18.7 ± 6.2 vs. 5.4 ± 3.1 months, p = 0.0027). CONCLUSIONS: EOS patients suffer substantial impairment from significant levels of positive and negative symptoms. Although symptoms and functioning improve significantly over time, pre-/and comorbid conditions are frequent, and longer DUP and poorer premorbid adjustment is associated with poorer illness outcome.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".