Study of negatives symptoms in first episode schizophrenia
Bibliographic record
Abstract
Background: Prevalence of negative symptoms in the early phase of schizophrenia remains uncertain. Negative symptoms are the primary cause of long term disability and poor functional outcome. The purpose of this study is to examine the presence of negative symptoms in patients with fist episode psychosis in schizophrenia who were hospitalized. Methods: Negative symptoms were measured in 72 patients presenting with FEP using the scale for assessment of negative symptoms (SANS) and ascertained diagnosis using DSM-IV. Prevalence of SANS items and subscales were examined for both schizophrenia and bipolar disorder. Results: This study shows that a significant number of patients with first episode schizophrenia had negative symptoms 66 (87.5%). All five subtypes of negative symptoms were present in 47% of patients suggesting primary negative symptoms, and about 40% have secondary negative symptoms. Independently, each subtype of negative symptoms was seen in 48% - 76% of patients. The most prevalent negative symptom in first-episode schizophrenia was found to be blunting (72%). 46% of patients had significant level of depression, overall psychopathology was severe and level of functioning was poor. We found that 45.8% patients were prescribed anticholinergic medications which indicated that at least 45% subjects had extra-pyramidal symptoms (EPS). Conclusion: Primary negative symptoms are prevalent in about half of First episode Psychosis (FEP) schizophrenia patients. These findings have implications for identification, early treatment, and reduced treatment resistance for negative symptoms in order to increase social and clinical outcome of schizophrenia. Further research is required in this area.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".