Predictors of Long-Term Neurodevelopmental Outcome of Hypoxic-Ischemic Encephalopathy Treated with Therapeutic Hypothermia
Bibliographic record
Abstract
Hypoxic-ischemic encephalopathy (HIE) is a manifestation of perinatal asphyxial insult that continues to evolve over days to weeks following the initial injury. Therapeutic hypothermia has demonstrated that a proportion of this secondary brain injury may indeed be preventable. However, therapeutic hypothermia has also altered the prognostic utility of many bedside tools that are commonly used as predictors of long-term neurodevelopmental outcome in HIE. Clinicians are often confronted with uncertainty when assessing the prognosis of infants with HIE. Improved understanding of the implications and limitations of individual investigations may inform clinical decisions and allow for timely intervention. This review summarizes the predictive value of currently available prognostic markers in HIE infants in the therapeutic hypothermia era, including clinical, biochemical, neurophysiological, physiological, and neuroimaging predictors.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".