Prehospital Tranexamic Acid Use for Traumatic Brain Injury
Bibliographic record
Abstract
Abstract : The primary aim is to determine the efficacy (comparing 6 month GOSE) of two dosing regimens of TXA initiated in the pre-hospital setting in patients with moderate to severe TBI (GCS score 3-12).The first year has been spent in preparation for study implementation including approvals by the ROC Protocol Review Committee and Data, Safety Monitoring Board, as well as obtaining an FDA IND and Health Canada CTA. The documents for the first site approval were sent to HRPO on June 19, 2014 and final approval by the Sec. Army is still pending. The blinded study drugs were manufactured and packaged into study kits. A web data entry system to collect the patient data and check for errors (and a detailed Manual of Operations) is being beta tested. An inventory management system to track the study kits and lab/CT/MRI scan data is ready. Training materials have been finalized in order to train the EMS and hospital staff on the study. Ten of 12 sites have submitted the protocol for IRB approval and are either conducting community consultation or have completed it. Five sites have final approval and await HRPO approval before training their EMS and hospital staff.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".