Effect of alcohol-dependence on cognitive performance in middle-aged men: Preliminary results
Bibliographic record
Abstract
Objectives: The understanding of the relationship between alcohol-related neuropathology, cognitive impairment, and various factors such as alcohol consumption, thiamine levels, and age vulnerability is still poorly understood. Therefore, this study aims to examine the effect of alcohol dependence on cognitive performance in middle-aged men with psycho-biochemical evidence. Materials and Methods: A cross-sectional pilot study with a comparison group including 82 right-handed participants with and without alcohol dependence ( n = 41 each). Alcohol dependence was diagnosed clinically by the International Classification of Disease Tenth Edition along with the use of alcohol use disorder identification test (AUDIT) and cognitive screening tests, that is, the Montreal Cognitive Assessment (MoCA) and the Mini-Mental State Examination (MMSE). The serum levels of thiamine (Vitamin B1) were determined using an enzyme-linked immunosorbent assay. Results: The MoCA scores, MMSE scores, and serum thiamine levels were significantly low for alcohol-dependent men (1509.43 ± 898.63 pmol/L) versus non-alcohol-dependent men (1862.81 ± 741.30 pmol/L; P = 0.021 ). The cognitive sub-domains including orientation, execution, calculation, visuoconstructional skills, and recall functions were also significantly ( P < 0.05) affected for the alcohol-dependent patients when compared to non-alcohol-dependent men. Serum thiamine levels showed a positive ( P < 0.05) correlation with MoCA scores whereas serum thiamine levels showed a significant ( P < 0.05) negative correlation with AUDIT scores. Conclusion: Based on the significant positive association between serum thiamine levels with MoCA scores; therefore, both may be used as a screening tool for the early detection of cognitive impairment in patients with alcohol dependence.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".