P.052 Late-onset adrenoleukodystrophy mimicking primary progressive multiple sclerosis
Bibliographic record
Abstract
Background: Adrenoleukodystrophy (ALD) is a peroxisomal disorder that leads to the accumulation of very long chain fatty acids in the body. Younger males typically present with a catastrophic cerebral demyelinating disease, while adult males tend to develop a progressive myelopathy and neuropathy. Methods: Case presentations and literature review. Results:Case1: A 58-year-old male with a three-year history of unsteady gait. His MRI showed multiple T2-hyperintensities most prominently in the posterior corpus collosum (which progressed over time) as well as spinal cord atrophy. Primary progressive multiple sclerosis (PPMS) was suspected. Case 2: The patient’s bother, a 49-year-old, had a ten-year history of difficulty walking. MRI findings included a single large T2 hyper-intensity spanning the anterior aspect of the corpus collosum and an atrophic spinal cord. Given the family history, both brothers were investigated for and diagnosed with ALD. Conclusions: Both cases are of males presenting with a progressive myelopathy in middle age. In the first case, the history, physical exam, and imaging findings were most consistent with PPMS. However, the second case was less typical for MS prompting further investigations. These cases highlight the need to have a broad differential when confronted with atypical cases of MS and reminds the clinician of the phenotypic variability of ADL.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".