ArticleSchizophrenia (Heidelberg, Germany)2025
Syntactic network analysis in first-episode psychosis: toward generalizability.
Article in Schizophrenia (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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Who cites it
1 citing paper in PubMed.
- Automated Speech-Based Modeling of Item-Level Symptom Severity in Schizophrenia.JAMA network open · 2026Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Automated syntactic markers distinguished patients with first-episode psychosis from healthy controls in a Brazilian Portuguese-speaking sample, achieving 81% cross-validated accuracy (AUC = 0.86). These findings largely replicate prior results in Dutch, underscoring the potential of automated syntactic measures to identify early psychosis across languages, illness stages, and speech elicitation tasks.
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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.