Expanding the trauma code to other causes of hemorrhagic shock — ruptured abdominal aortic aneurysms
Bibliographic record
Abstract
Summary: Expediting life-saving care for hemorrhagic shock through multi-disciplinary code protocols is a potential method to improve outcomes. Trauma codes have become standard of care at most tertiary care centres; however, it is unclear if similar protocols can improve delivery of care for other forms of hemorrhagic shock. We examined the feasibility of a code protocol for ruptured abdominal aortic aneurysms (RAAAs) by reviewing the literature and comparing patient outcomes for RAAA and trauma patients at our institution, where the latter have a wellestablished trauma code protocol. We show that, despite being similarly unstable, patients with RAAA experienced delays to care milestones compared with trauma patients, even when accounting for diagnostic delays. Combining these data with present understanding of factors implicated in RAAA survival, we propose that a “CodeAAA” protocol may fill an important gap in RAAA care and that further prospective studies examining the utility of such a code are 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 | 0.005 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".