The Influences of Antipsychotics Therapy at Cognitive Impairments in Schizophrenia Spectrum Disorders
Bibliographic record
Abstract
Significant degree of cognitive impairment represents one of the basic cornerstones among clinical manifestations of the schizophrenia spectrum disorders and accordingly to some authors it is present in up to 75% patients with these syndromes. The aim of this study was to examine degree of cognitive impairment, firstly among patients on first generation antipsychotics therapy (FGA) compared to the patients on second generation antipsychotics therapy (SGA), and secondly to compare both groups of patients with healthy controls. Material and methods Prospective, parallel research was conducted, in which the sample of patients and employees of Specialized Psychiatric Hospital Kotor was tested with Montreal Cognition Scale (MoCA). There were 66 participants in the samples and they were divided on four subgroups: (1) patients with FGA; (2) patients with SGA; (3) patients with combined FGA and SGA; (4) Healthy controls. Results All groups of patients had statistically significantly lower mean MoCA scores in the comparison with healthy controls. The fact that among 83.7% of patients was diagnosed significant degree of cognitive decline (MoCA score bellow 26) strongly speaks in favour of high sensitivity of MoCA test in detection of cognitive impairment among patients with schizophrenia spectrum psychotic disorders. In addition, the group of patients with FGA also had statistically significantly lower mean MoCA score compared to patients with SGA. Discussion The mechanisms of explanation of these results can be additionally enlightened with further studies on larger samples of patients, which would investigate the correlation between extrapyramidal symptomatology, anticholinergic therapy and cognitive deficit. Disclosure of interest The authors have not supplied their declaration of competing interest.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".