Systems saving lives: a structured review of trauma systems and their impact on mortality
Bibliographic record
Abstract
Background For Canadians under the age of 45, injury is the leading cause of death and remains the leading cause of potential years of life lost for those up to the age of 70. Coordination of health services, particularly trauma systems, has the potential to improve treatment and management of the victims. Some research has suggested that trauma systems are associated with a reduction in preventable deaths for injured patients, a reduction in gross mortality, and a reduction in motor vehicle-collision mortality. With the support for the regionalisation of trauma services growing information regarding the effectiveness of trauma systems themselves is key. Objective To conduct a systematic review of the effectiveness of trauma systems in reducing mortality. Methods We will use the method outlined by the Cochrane Collaboration, and conduct a systematic review of the literature using the following key words: Trauma systems, mortality and injury. To date, 1665 potential articles have been identified including 200 review articles. Articles are currently being screened and will be reviewed when they include relevant evidence regarding traumas systems and mortality for both the adult and paediatric populations. Relevance This work will provide information to inform policies related to the development and maintenance of trauma systems.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| 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) | 0.000 | 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".