[A prospective study of the psychopathological variables associated with suicidality among schizophrenic patients].
Bibliographic record
Abstract
INTRODUCTION: This study aimed to of identify the psychopathological profile of suicidal schizophrenic patients during a period of stability, thereby helping to define the trait aspect of these variables. METHOD: Consecutively admitted schizophrenic patients fulfilling criteria for < > and < > groups were assessed at baseline and one year later for sociodemographic, general clinical and psychopathological features, by the positive and negative subscales of the Positive and Negative Syndromes Scale (PANSS), Calgary Depression Scale, Beck Hopelessness Scale and Amador Insight Scale (first three items). RESULTS: A total of 57 of 73 patients were available for re-evaluation. The suicidal group showed higher depression and hopelessness scores. Hopelessness and lower negative symptomatology identified most of the suicidal (66.7%) and non-suicidal (70%) patients. Hopelessness was the most important variable for identifying suicidality. CONCLUSIONS: Under conditions of illness stability, this profile complements the acute phase profiles identified by most studies in the literature, and should foster improved risk recognition for targeting preventive interventions.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".