Reader Response: Amnestic Syndrome and Bilateral Hippocampal Diffusion Abnormalities From Opioid Use
Bibliographic record
Abstract
Reports of opioid-associated amnestic syndrome1 have increased with the rising use of opioids, particularly among young men.2 At our institution in British Columbia, which has one of the highest rates of opioid-related hospitalizations in Canada,3 we have observed at least 3 such cases in the last 4 years with similar initial imaging. All were positive for fentanyl on urine toxicology. One of these was associated with a delayed leukoencephalopathy causing akinetic mutism, which developed roughly 3 weeks after initial presentation with isolated anterograde amnesia. Diffuse delayed leukoencephalopathy was recently reported as an unexpected outcome of acute opioid-associated amnestic syndrome.4 It would be interesting to know the eventual outcome in this case, and if any follow-up was provided. Monitoring for a delayed leukoencephalopathy should be considered by neurologists caring for these vulnerable patients. Prognosis should be deferred until these patients have been stable for at least 1 month after presentation.
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.016 | 0.007 |
| Insufficient payload (model declined to judge) | 0.097 | 0.052 |
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".