ArticleSocial psychiatry and psychiatric epidemiology2014
The distribution of self-reported psychotic-like experiences in non-psychotic help-seeking mental health patients in the general population; a factor mixture analysis.
Article in Social psychiatry and psychiatric epidemiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed, 23 citations in OpenAlex.
- Cholesterol metabolism and its implications in psychotic disorders: a comparative study of individuals at ultra high risk and control groups.European archives of psychiatry and clinical neuroscience · 2026Article
- Targeting the Roots of Psychosis: The Role of Aberrant Salience.Pediatric reports · 2025Review
- Increased PLAEuropean archives of psychiatry and clinical neuroscience · 2021Article
- Interpersonal sensitivity and functioning impairment in youth at ultra-high risk for psychosis.European child & adolescent psychiatry · 2016Article
- Severity of thought disorder predicts psychosis in persons at clinical high-risk.Schizophrenia research · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 8 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeFactor mixture analysis (FMA) and item response mixture models in the general population have shown that the psychosis phenotype has four classes. This study attempted to replicate this finding in help-seeking people accessing mental health services for symptoms of non-psychotic mental disorders.
methodsAll patients (18-35 years old) referred for non-psychotic mental health problems to the secondary mental healthcare service in The Hague between February 2008 to February 2010 (N = 3,694), were included. Patients completed the Prodromal Questionnaire (PQ). Hybrid latent class analysis was applied to explore the number, size and symptom profiles of the classes.
resultsThe FMA resulted in four classes. Class 1 (N = 1,039, 28.1%) scored high on conceptual disorganization, inattention and mood disorder. Patients in Class 2 (N = 619, 16.8%) endorsed almost all PQ-items, were more often screened as being psychotic or at high risk of developing psychosis, without care takers noticing. In Class 3 (N = 1,747, 47.3%) perplexity, paranoia and negative symptoms were more prevalent. Patients were more often at high risk of developing psychosis. Class 4 (N = 286, 7.7%) represented the 'normative' group with low probabilities for all items. DISCUSSION: The results support the hypothesis that a representation in four classes of psychotic-like experiences can also be applied in a help-seeking population.
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.