COGNITIVE DEFICITS AND ALCOHOL DEPENDENCE SYNDROME ??? A PARADIGM RELATIONSHIP
Bibliographic record
Abstract
Background- Chronic alcohol use causes not only physical consequences but causes cognitive deficits also. 50 and 80% of the Alcohol dependent syndrome patients present with cognitive deficits. These cognitive deficits will significantly contribute to poor functional outcomes which lead to reduced health related quality of life. Objectives- To assess Cognitive deficits in Alcohol Dependent syndrome (ADS). To find the relationship between early onset of alcohol use, duration of Alcohol use and large quantity of alcohol use with Cognitive deficit pattern. MethodA cross sectional study was done on 38 patients with ADS, aged 18- 45 years, education ≥7th std, with no major psychiatric or medical co- morbidities. AUDIT scale was administered to look for dependence pattern, CIWA scale was applied to look for withdrawal symptoms. MoCA scale was applied to screen for cognitive impairment in patient with MMSE score (25 and above). In subjects with cognitive impairment on MoCA scale (25 and below), neuropsychological assessment was done using neuropsychological battery of test from NIMHANS Neuropsych battery standardised on Indian Population. Results- There was impairment in the Cognitive domains as follows, speed of processing (BACS - 100%), attention (DF- 97%) working memory (DF-97%, DB-100%, LNS - 84%), visual memory (100%), visuospatial memory (78%), executive functions (CT2 -92%), reasoning and problem solving (maze- 81%) in majority and a significant relation between early onset of alcohol use, duration of Alcohol use. Conclusions- There is a significant impairment in the areas of speed of processing, attention, executive functions, reasoning and problem solving domains. Significant association between Age of onset of ADS (Early onset) with Executive functions. Attention domain was found to be associated with longer duration of alcohol intake, whereas working memory deficits was associated with large quantity of alcohol intake
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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 | 0.000 | 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) | 0.000 | 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".