PATHWAY TO PSYCHIATRIC CARE IN PATIENTS WITH ALCOHOL USE DISORDER AT A GENERAL HOSPITAL PSYCHIATRY UNIT IN INDIA
Bibliographic record
Abstract
Objectives: Theme review on the available evidence regarding the alcohol-related cognitive impairment. Case report presentation about a patient with Alcohol Use Disorder (AUD), cognitive complaints and comorbid medical conditions. Background and Aims: AUD has long been associated with cognitive deficits in multiple domains including visuospatial abilities, processing memory, executive functioning, attention, impulsivity, and verbal fluency. About half of the patients with AUD exhibit cognitive deficits that can influence their treatment compliance and everyday functioning. Take into account the cognitive dimension of alcohol-dependent patients is crucial for a tailored intervention. Material and Methods:Non-systematic review of the literature was performed in PubMed and Medscape database. Patientu00b4s clinical record was reviewed and cognitive screening tools were applied.Results:We present a case report of a 73-year-old male with alcohol dependence syndrome u2013 with memory complains and important comorbid conditions, namely diabetes, obstructive sleep apnea and dyslipidemia. After abstinence period, the patient was evaluated by a team of experts and screening tools were applied: Montreal Cognitive Assesment (score 11), Addenbrooke Cognitive Examination (score 58) and Frontal Assesment Battery (score 10). Relevant changes were detected in imagiological and neuropsychological exams. In this patient verbal fluency, memory, attention, visuospatial capacities and executive function have all been shown to be impaired. The patient was included in a Neuromodulation Cognitive program at Centro Hospitalar Psiquiu00e1trico de Lisboa.Conclusion:This case report highlights the neurocognitive effect of excessive and long-term alcohol consumption, and medical comorbidities, as a contributing factor, as well as the importance of recognizing and screening for alcohol-related cognitive impairments.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".