ArticleSchizophrenia bulletin open2022
Negative Symptom Domains in Children and Adolescents at Ultra-High Risk for Psychosis: Association With Real-Life Functioning.
Article in Schizophrenia bulletin open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Negative symptoms in children and adolescents with early-onset psychosis and at clinical high-risk for psychosis: systematic review and meta-analysis.The British journal of psychiatry : the journal of mental science · 2023Pooled it
- Negative symptoms in schizophrenia: Methodological challenges and emerging solutions for outcome measurement.Neuroscience applied · 2026Review
- Electrophysiological Correlates of Reward Anticipation in Subjects with Schizophrenia: An ERP Microstate Study.Brain topography · 2024Article
- Interview Versus Performance Assessment of Cognition as Predictors of Real-World Outcomes in a Large-Scale Cross-Sectional Study in Schizophrenia.Schizophrenia bulletin open · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Negative symptoms (NS) appear early in subjects at ultra-high risk (UHR) for psychosis and may increase the risk of conversion to psychotic disorders and poor outcome. Contrary to schizophrenia, there is no consensus on the conceptualization and factor structure of NS in UHR subjects. This study aims to explore NS prevalence, factor structure, and impact on the outcome of UHR state in children and adolescents. Methods: 71 UHR were recruited at the Neuropsychiatry Unit of the Hospital Bambino Gesù in Rome. We examined the prevalence of NS of at least moderate severity, the factor structure of NS by Principal Component Analysis (PCA) and Confirmatory Factor Analysis (CFA), and correlations between extracted factors and functioning. We also evaluated the severity of baseline NS in subjects who converted to psychosis (converters) and in those who did not convert (nonconverters) at 1-year follow-up. Results: At baseline, all participants showed at least one NS of at least moderate severity. PCA and CFA yielded a two-factor solution: an ''Expressive" and an "Experiential" factor. Only the Experiential factor was associated with functioning. At baseline, severity of NS did not differ between converters ( Conclusions: In UHR children and adolescents NS have a high prevalence, a significant impact on functioning, and cluster in two-factors. Replications by independent studies, with state-of-the-art instruments and longer duration of follow-up, are needed to improve the characterization of NS in this population, clarify their impact on the outcome and enhance their early identification, prevention, and treatment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.