The history of childhood trauma among individuals with ultra high risk for psychosis is as common as among patients with first‐episode schizophrenia
Bibliographic record
Abstract
AIM: Childhood trauma (CT) is more common in patients with psychosis than in general population and is found to be related to the severity of symptoms. The objective of this study was to investigate the severity of CT, and its relationship with clinical features in two different groups: first-episode schizophrenia (FES) and ultra high risk for psychosis (UHR) groups. METHODS: In this cross-sectional study, 83 patients with FES, 41 individuals with UHR and 69 healthy controls were included. Clinical features were evaluated with the Brief Psychiatric Rating Scale, the Scale for the Assessment of Negative Symptoms and the Scale for the Assessment of Positive Symptoms (SAPS). We evaluated CT with the Childhood Trauma Questionnaire (CTQ). UHR group was also assessed with the Calgary Depression Scale for Schizophrenia. RESULTS: The emotional and physical abuse, physical and emotionalneglect subscale scores and CTQ total score of both the UHR group and FES group were higher than the control group. However, the CTQ total score and subscale scores did not differ between FES and UHR groups. UHR group had more Schneiderian symptoms in terms of both number and severity, and severity of sexual abuse was found to be correlated with SAPS scores especially for the 'commenting voices' item. The CTQ emotional abuse and neglect scores were correlated with the severity of depression. FES patients with higher CTQ scores obtained higher total scores on SAPS and higher total scores on Schneiderian items. CONCLUSION: We found that CT is related to the severity of psychotic symptoms in both FES and UHR groups. Therefore, it is possible that interventions aimed at preventing CT in children would reduce the manifestation of psychosis among young people.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".