Bibliographic record
Abstract
With the rapid rise in the number of bariatric surgeries performed for morbid obesity, several short- and long-term neurologic complications of this procedure have been identified. These complications affect various levels of the neuraxis, and most are likely secondary to deficiency of essential minerals and vitamins. We report on 3 patients who developed unusual and severe neurologic deficits after undergoing bariatric surgery, including Wernicke encephalopathy, acute and rapidly progressive polyneuropathy, myelopathy, and visual deficits. Two developed clinical features of Parkinsonism, a complication not previously reported in this patient population. None of our patients had attended a nutrition clinic postoperatively. All 3 had a rapid weight loss and intractable vomiting preceding the development of neurologic symptoms, and all were found to have significant vitamin deficiencies. Replacement of vitamins resulted in a slow and variable degree of neurologic recovery. Patients undergoing bariatric surgery should have close monitoring of their nutritional status postoperatively. Routine supplementation of vitamins and minerals may be a cost-effective strategy for preventing neurologic complications in these patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".