Conservative Management of Large Traumatic Supratentorial Epidural Hematoma in the Pediatric Population
Bibliographic record
Abstract
BACKGROUND/AIMS: Conservative management of traumatic epidural hematomas is being recognized as a safe alternative to surgical treatment in asymptomatic children. There is still debate about the maximal size of epidural hematoma that should be tolerated before deciding for surgery. METHODS: We report - through a retrospective cohort study from a single institution - a series of 16 conservatively managed traumatic epidural hematomas of more than 15 mm thickness. RESULTS: 14 patients (88%) were successfully treated using conservative management. Two patients required surgery. These 2 patients had the only 2 documented high-velocity injury mechanisms. All patients had a Glasgow Outcome Scale of 5/5 on follow-up. CONCLUSION: Conservative management with close observation is a safe alternative even in this population of voluminous hematomas. Injury velocity may be a contributing factor for failure of conservative management in this population.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".