Cognitive Functions among Recently Detoxified Patients with Alcohol Dependence and Their Association with Motivational State to Quit
Bibliographic record
Abstract
CONTEXT: Cognitive impairments are common among patients with alcohol dependence. It may involve frontal executive dysfunction, global cognitive impairments, or both. Motivation to quit alcohol involves recognition of alcohol use as a problem. This ability may be construed as a cognitive symptom. AIMS: The aim is to study the frequency of cognitive dysfunction among patients with alcohol dependence and to study the association between cognitive dysfunction and the motivation to quit alcohol. MATERIALS AND METHODS: Fifty-six adult males with alcohol dependence (International Classification of Diseases-10) who had completed a course of detoxification and who did not have active withdrawal symptoms or acute medical illnesses were recruited for this study. Their cognitive functions were tested using the Montreal Cognitive Assessment (MoCA) and Frontal Assessment Battery (FAB). Their motivation levels were assessed using the Stages of Change Readiness and Treatment Eagerness Scale. Clinical details were collected using a semi-structured pro forma. RESULTS: = 0.017. CONCLUSIONS: Four-fifths of patients with alcohol dependence had global cognitive impairments after the detoxification period. One-sixth had frontal executive dysfunction. Cognitive functions were not significantly correlated with the duration of dependence. Presence of frontal executive dysfunction was associated with almost six times likelihood that the patient will be poorly motivated to quit alcohol.
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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 | 0.000 | 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) | 0.002 | 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".