Perioperative Management of a Patient With Giant Axonal Neuropathy
Bibliographic record
Abstract
Giant axonal neuropathy (GAN) is a rare, autosomal recessive, progressive neurodegenerative disorder affecting both the central and peripheral nervous systems. The aberrant accumulation of cytoskeletal-associated proteins causes neurodegeneration resulting in both motor and sensory dysfunction. Given the invariable and progressive involvement of the neuromuscular system, anesthetic care is frequently needed to correct the orthopedic sequelae of the disorder. We present a 12-year-old girl with GAN who required anesthetic care for posterior spinal fusion to treat scoliosis. Previous reports of anesthetic care for patients with GAN are reviewed, and the perioperative considerations of these patients are discussed. J Med Cases. 2015;6(11):512-516 doi: http://dx.doi.org/10.14740/jmc2346w
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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".