Marchiafava-Bignami Disease: A Less Known Neurological Complication of Alcoholism
Bibliographic record
Abstract
Marchiafava-Bignami disease (MBD) is a disorder associated with chronic alcohol consumption and characterized by demyelination and necrosis of the corpus callosum. Patients may have reduced consciousness, psychotic symptoms, apathy, hemiparesis, ataxia and coma. Although some cases of recovery have been reported, the outcome is poor, with disability or dead. We reported a case of a 56-year-old woman with chronic alcoholism admitted to our hospital with impaired consciousness and a history of gait disturbance. On examination, she was in a coma, with increased muscle tone and left arm paresis. Laboratory studies showed a folic acid deficiency and the CT scan was normal. Magnetic resonance imaging revealed lesions in periventricular white matter and the entire corpus callosum with restriction of water diffusion consistent with the diagnosis of MBD. Despite treatment with B vitamin complex, the patient died. Coma and radiological involvement of the entire corpus callosum are compatible with type A MBD and associated with poor prognosis. Although being a rare alcoholism complication, it should not be forgotten since an early diagnosis and prompt supportive therapy may enable a better outcome. J Med Cases. 2016;7(5):171-173 doi: http://dx.doi.org/10.14740/jmc2477w
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".