Acute hypoxic‐ischemia in cardiac arrest encephalopathy causes only minimal demyelination
Bibliographic record
Abstract
The underlying pathological process of "ischemic leukoencephalopathy" is not well studied in humans and "demyelination" is thought to represent a major component. We selected brains from autopsy cases with definite histories of recent cardiac arrest, in which the autopsy findings demonstrated gray matter ischemic changes consistent with the survival time. We excluded cases with clinical or pathological evidence of other diseases that may affect the white matter, specifically those with moderate-severe edema. The selected cases were then subjected to a review of the gross pathology (photographs) and microscopy. We used the normal white matter areas in the same brains as internal controls to exclude artefactual changes. Sixteen cases were selected. The pathological changes in acute ischemic leukoencephalopathy include: white matter pallor with separation of myelinated fibers and fine vacuoles, coarse vacuoles with or without attenuated axons, apoptotic nuclei, axonal abnormalities, focal scattered demyelinated axons and infarcts. The interpretation of these findings is controversial (i.e. ischemia, edema, artifact or combination) due to the postmortem nature of the specimens. However, these factors should not affect our interpretation of minimal demyelination in the pathological process. The major underlying pathological process in acute ischemic leukoencephalopathy is axonal degeneration, while demyelination represents only a minor component.
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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 | 0.000 |
| 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) | 0.002 | 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".