Resuscitative Endovascular Balloon Occlusion of the Aorta
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The control of torso and junctional zone bleeding in combat casualties is particularly challenging because of its noncompressible nature. Resuscitative endovascular balloon occlusion of the aorta (REBOA) has demonstrated promise in translational large animal and early clinical series as an effective resuscitation and hemorrhage control adjunct. However, it is unknown what proportion of combat casualties has an injury pattern and clinical course that is amenable to REBOA deployment. The prospective UK Joint Theatre Trauma Registry was used to retrospectively identify all UK military personnel who has sustained a severe combat injury, defined as an Abbreviated Injury Scale of three or greater, in the course of 10 years. Patients were then divided into three groups based on Abbreviated Injury Scale injury pattern: no indications for REBOA, contraindications (mediastinal, cervical, and axillary hemorrhage), and indications (torso and pelvic hemorrhage). From a total of 1,317 patients, 925 (70.2%) had no indication, 148 (11.2%) had a contraindication, and 244 (18.5%) had an indication for REBOA. Within the group with indications for REBOA, there were 174 deaths: 79 at the point of wounding, 66 en route to hospital, and 29 in-hospital deaths. The median (interquartile range) time to death in patients dying en route was 75 (42-109) min, and the median prehospital time for casualties admitted to hospital was 61 (34-89) min. One-in-five severely injured UK combat casualties have a focus of hemorrhage in the abdomen or pelvic junctional region potentially amenable to REBOA deployment. The UK military should explore REBOA as a potential en route hemorrhage control and resuscitation adjunct.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it