Pattern of Peripheral Neuropathy Among Patients With Alcohol Dependence Syndrome
Bibliographic record
Abstract
Peripheral neuropathy due to alcohol abuse is common but often difficult to identify in its initial stages. Early identification and initiation of treatment would reduce its progression further limiting the disabilities. The study aims at identifying the pattern of peripheral neuropathy among alcohol dependent patients and grading its severity. The study adopts Toronto Clinical Neuropathy Scoring Scale (TCNS) which utilizes the clinical assessment of symptoms, sensory tests, and lower limb reflexes to find the occurrence of neuropathy and stratify its severity. It was carried out on 30 patients admitted at a tertiary hospital in Southern India with history suggestive of Alcohol Dependence Syndrome. In this study the prevalence of neuropathy was 63.3%. This included 23.3% with mild neuropathy, 13.3% with moderate neuropathy and 26.7% with severe neuropathy. Patients with mild neuropathy were symptomatic but did not have any neurological signs or deficits. In moderate and severe neuropathy, patients showed more clinically detectable signs than symptoms. Total life time dose of alcohol and duration of alcohol consumption did not correlate with severity of neuropathy. TCNS is a simple, cost effective and efficient tool to identify neuropathy and to possibly assess its severity. Sensory complains, sensory deficits and diminished reflexes were observed in alcoholic neuropathy. Studies on larger population groups are recommended to evaluate the pattern of neuropathy in alcohol dependent patients and to compare the same with nerve conduction studies.
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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".