MOOD SYMPTOMS IN STABILIZED PATIENTS WITH SCHIZOPHRENIA: A BIPOLAR TYPE WITH PREDOMINANT PSYCHOTIC FEATURES?
Bibliographic record
Abstract
BACKGROUND: Schizophrenia (SZ) and bipolar disorder (BD) are traditionally distinguished on the basis of progressive deterioration and long-term outcome, but a more dimensional approach is warranted. There are limited data on the occurrence of manic symptoms in patients with schizophrenia. The aim of the current study was to search for patterns in the clinical symptomatology, which may suggest the presence of one or several mood disorders under the label of schizophrenia. SUBJECTS AND METHODS: Hundred-seventy-five patients diagnosed with schizophrenia according to DSM-5 were included in the study. The psychometric assessment included the Positive and Negative Syndrome Scale, Young Mania Rating Scale, The Montgomery-Åsberg Depression Rating Scale and the Calgary Depression Scale. The statistical analysis included MANOVA, Pearson Correlation coefficient and principal components analysis. RESULTS: Significant subthreshold manic symptoms were present in 25.14% of patients. Mood symptoms correlated with positive symptoms. The PCA revealed a complex structure with 15 factors (one positive, negative, somatic, anxiety, neurocognitive, disorganization and manic, five depressive and three psychomotor/excitement/hostility/violence). CONCLUSION: Psychotic mood disorders are often phenotypically indistinguishable from schizophrenia, so it is likely that psychotic affective patients have been misdiagnosed with schizophrenia. The current study suggests that there seem to be patients with mania misdiagnosed as 'schizophrenics' because of the presence of psychotic features, a condition better described as 'schizophreniform bipolar disorder'.
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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) | 0.001 | 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".