Therapeutic Hypothermia for Refractory Status Epilepticus
Bibliographic record
Abstract
BACKGROUND: Our goal was to perform a systematic review of the literature on the use of therapeutic hypothermia for refractory status epilepticus (RSE) and its impact on seizure control. METHODS: All articles from MEDLINE, BIOSIS, EMBASE, Global Health, HealthStar, Scopus, Cochrane Library, the International Clinical Trials Registry Platform (inception to May 2014), reference lists of relevant articles, and gray literature were searched. The strength of evidence was adjudicated by two independent reviewers, using both the Oxford and GRADE methodology. RESULTS: Overall, 13 studies were identified, with 10 manuscripts and 3 meeting abstracts. A total of 40 patients were treated. The common target temperature was 33 degrees Celsius, sustained for a median 48 hours. Patients displayed a 62.5%, 15% and 22.5% rate of seizure cessation, seizure reduction, and failure of treatment respectively. External cooling was utilized in the majority of cases. Deep venous thrombosis, coagulopathy and infections were the commonly reported complications. Two ongoing clinical trials were identified. CONCLUSIONS: Oxford level 4, GRADE D evidence exists to support the use of therapeutic hypothermia to control seizures in RSE. Further prospective study is warranted.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".