Bibliographic record
Abstract
Objective-To provide a systematic review of the published literature assessing the eVect of trauma centre/system implementation on patient outcomes.Methods-A search of Medline, HealthSTAR, and CINAHL yielded 245 papers with 39 additional manuscripts identified by references of reviewed manuscripts.Literature was restricted to United States and Canadian studies.The strength of evidence associated with each article was critically appraised by a three tier classification system developed to assess the traumatic brain injury literature.Class I studies were prospective randomised controlled trials.Class II studies were well designed prospective or retrospective controlled cohort studies, or case-control studies.Class III studies were other quasi-experimental studies that use existing databases, registries, or relied on case series data.Results-42 papers were included in the critical appraisal review.This review found mainly Class III evidence, which consisted of three diVerent study types; "Panel studies" used expert panels to determine whether trauma systems are eVective in reducing preventable death.The authors pointed out a number of possible sources of bias in this methodology including the use of local assessors with knowledge of the system, lack of blinding to the centre of treatment (trauma centre or not), and the varying quality of injury information of necropsy reporting."Comparisons to National injury registries" used mostly Major Trauma Outcome Study (MTOS) methodology to examine numbers of expected deaths against numbers of observed deaths.However, there were inconsistencies with data collection protocols, case mix and injury demographics and criticisms that MTOS data are not population based.This led to the authors classifying such comparisons as Class III evidence."Population-based studies" used larger databases, including claims and vital statistic data, which permitted trauma system assessment within an entire region or state, commonly using pre-system versus post-system, or trauma centre versus non-trauma centre comparisons.The authors considered these studies provided the most robust evidence.Unfortunately,
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 | 0.006 | 0.042 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.030 | 0.027 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.472 | 0.154 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".