P.110 Effects of hypoglycemia on sensitive brain structures in a patient with an insulinoma
Bibliographic record
Abstract
Background: A previously healthy 26 year-old male presented with confusion and recurrent hypoglycemia (blood glucose lows of 2.5 mmol/L) while on vacation in Las Vegas. He denied substance or heavy alcohol use and the toxicology screen was negative. He was transferred home to Winnipeg for further care and was found to have only patchy memories of his trip and the days leading up to the trip, consistent with mixed anterograde and retrograde amnesia. MoCA score at presentation was 16/30 with points lost on orientation, delayed recall and visuospatial-executive tasks. MRI revealed T2 hyperintensities and diffusion abnormalities in bilateral hippocampi and globus pallidi. Electroencephalography showed triphasic waves. The patient was found to have a pancreatic insulinoma, which was surgically resected. In follow-up nine weeks later he was near his cognitive baseline, though he had ongoing difficulties with delayed recall. Repeat MRI showed improvement but not resolution of hippocampal and pallidal signal change, with mild hippocampal atrophy. Neuropathological and animal studies have shown that structures most sensitive to hypoglycemic neural injury include the hippocampus, basal ganglia, and neocortex. The clinical and radiographic findings in this case illustrate an unusual presentation of insulinoma and the effects of hypoglycemia on the brain. Methods: N/A Results: N/A Conclusions: N/A
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".