Abstract Sat705: Temperature Control after Paediatric Cardiac Arrest: A two part Systematic and Scoping Review
Bibliographic record
Abstract
On behalf of the International Liaison Committee on Resuscitation (ILCOR) Pediatric Life Support Task Force. Background: Death and neurodisability secondary to hypoxic ischaemic brain injury are important complications following return of circulation after cardiac arrest. Active temperature management to avoid hyperthermia, and targeted hypothermia are options for post resuscitation care. Ongoing assessment of optimal active temperature management, including temperature target, duration, speed of temperature change, methods and impact of delay in initiation, remain key questions to guide clinician decision making and best practice. Method: We are conducting a combined evidence review program, searching MEDLINE, EMBASE and Cochrane databases for literature of children receiving active temperature management after cardiac arrest. Part 1: A systematic review: will be performed to explore the efficacy of a) a specific temperature target and b) any temperature target, and c) duration of targeted temperature management&Part 2: A scoping review will be performed to map the literature available on additional elements of temperature targeted management; including a) speed/rate of reaching temperature target, b) delays in initiation of active temperature target management, c) speed/rate of rewarming in patients actively controlled at hypothermic temperature and d) methods of controlling temperature through the active temperature management process. Outcomes include survival or survival with favorable neurological outcome as defined by the Pediatric Core Outcome Set for Cardiac Arrest. Results: At the time of abstract submission, screening of published literature is ongoing and the work is planned for completion in time for the AHA ReSS conference. Full presentation of data will be available. Conclusion and future direction: The results of the two part review will inform consensus on science and treatment recommendations for ILCOR and resuscitation guidelines.
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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 | 0.016 | 0.073 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.016 | 0.019 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".