Şizofreni ve bipolar afektif bozukluk tanısı almış hastalarda madde kullanım yaygınlığı; karşılaştırmalı bir çalışma
Bibliographic record
Abstract
The aim of this study is to investigate the effects of prevalance of alcohol-substance abuse, the preferences of substances used, sociodemographical properties and the usage of alcohol of patients diagnosed as schizophrenia and bipolar affective disorder on the clinical properties and prognosis of schizophrenia and BAD. Sociodemographic Data Form, Medical History Form, Brief Disability Questionnaire, The UKU Side Effect Rating Scale, Ġnsight Rating Scale (IRS), Alcohol Use Disorders Identification Test (AUDIT) , Fagerström Nicotine Dependence Test (FNND), Global Assessment of Functionality Scale (GAF), Brief Psychiatric Rating Scale (BPRS) are applied to 100 schizophrenic and BAD patients recruited to the study. In addition to these scales, Scale for the Assessment of Positive Sympoms (SAPS), Scale fort he Negative Symptoms (SANS), Calgary Depression Scale are applied to schizophrenic patients while Hamilton Depression Scale and Young Mania Rating Scale (YMRS) are used to assess patients with bipolar affective disorder. Patients with a history of alcohol, nicotine or substance abuse or the ones continuing to use these substances were identified with DSM-IV diagnosis criterias. Patients with and without alcohol abuse history are compared in terms of sociodemographic properties, disesase information and the scores of the scales they performed. The difference between patients with schizophrenia and BAD groups was not significant in terms of lifelong and ongoing alcohol abuse prevalance and rates of alcohol abuse disorders. The most preferred substances among patients with schizophrenia and BAD were nicotine, alcohol, biperidene, marijuana and volatile substance respectively.The difference between males and females were significant in terms of lifelong and ongoing prevalance of alcohol substance abuse in favor of women. Patients with schizophrenia were determined to have lower scores on IRS and GAF while performing higher scores on BPRS compared to BAD with alcohol substance abuse.
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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) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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; both teacher heads agree on what is shown here.
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".