Analysis of trauma patients in a rural hospital in Turkey
Bibliographic record
Abstract
BACKGROUND: There is a grey zone about the epidemiology of trauma in eastern Turkey. The present study was aimed at obtaining data on this subject. METHODS: Trauma patients who applied to the emergency department (ED) between January 2006 and December 2007 were analyzed. RESULTS: There were 6183 patients, of whom 87% were male. The mean age was 26.2 ± 13.6 years. Assault was the most common cause (63.2%). Motor vehicle injury (MVI) and fall were encountered at frequencies of 21.2% and 6.5%, respectively. The most frequently injured body regions were head-neck and extremities. The majority of patients were managed and discharged from the ED (89.8%) with no consultation (81.8%). Interestingly, the discharge rate of assault cases was 98.7%. Patients were hospitalized (4.2%) mostly for MVI (32.6%) and fall (19%); however, hospitalization rates for firearm and piercing/cutting injury (36.1% and 16.7%) were significantly high. Among the transported patients (5.3%), the rates of MVI and fall were high (41.5% and 24.3%, respectively). In groups, for burn and firearm injuries, these were 42.1% and 24.1%, respectively. Forty-eight patients (0.8%) died, mostly from MVI by number, but by self-infliction and firearm by rate (8.3% and 6%). CONCLUSION: Assault cases caused an excessive trauma patient density in the ED, as 98.7% were discharged from the ED. Further studies are needed regarding the high rate of assault cases.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".