The use of trauma transfusion pathways for blood component transfusion in the civilian population: a systematic review and meta‐analysis<sup>*</sup>
Bibliographic record
Abstract
This study was undertaken to determine if, amongst civilian trauma patients requiring massive transfusion (MT), the use of a formal trauma transfusion pathway (TTP), in comparison with transfusion without a TTP, is associated with a reduction in mortality, or changes in indices of coagulation, blood product utilisation and complications. A systematic review of three bibliographic databases, reference lists and conference proceedings was conducted. Studies were included if comparisons were made between patients receiving transfusion with and without a TTP. Data were extracted by two independent reviewers on population characteristics, transfusion strategies, blood product utilisation, indices of coagulation, clinical outcomes and complications. Data were pooled using a random effects model and heterogeneity explored. Seven observational studies met all eligibility criteria. Amongst 1801 patients requiring MT, TTPs were associated with a significant reduction in mortality (RR 0·69, 95% CI 0·55, 0·87). No significant increase in the mean number of PRBC transfused between TTP and control patients was seen (MD -1·17 95% CI -2·70, 0·36). When studies assessing only trauma patients were considered, TTPs were associated with a reduction in the mean number of units of plasma transfused (MD -2·63, 95% CI -4·24, -1·01). In summary, the use of TTPs appears to be associated with a reduction in mortality amongst trauma patients requiring MT without a clinically significant increase in the number of PRBC transfused and a potential reduction in plasma transfusion. Effects of TTPs on platelet transfusion, indices of coagulation and complications remain unclear. A randomised controlled trial is warranted.
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 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 | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.003 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".