Orthopedic Injuries during Operation Enduring Freedom
Bibliographic record
Abstract
Orthopedic injuries comprise a majority of combat injuries seen in recent U.S. military conflicts. Interventions in the forward deployed area have played an important role in improving mortality rates of soldiers as well as outcome at a medical center level. A retrospective review was conducted on orthopedic injuries from Operation Enduring Freedom evaluated at Walter Reed Army Medical Center (WRAMC). Patients were grouped into one of five injury categories (open fracture, amputation, arterial injuries, neurological injuries, and soft tissue injury) with evacuation time (days from time of injury to arrival at WRAMC) and procedures performed before arrival at WRAMC evaluated. The average evacuation time for all orthopedic casualties was 7.9 days. There was an average of 2.6 procedures performed per patient before arrival at WRAMC. There was no difference in evacuation time among the injury groups. Those with only soft tissue injuries underwent fewer procedures than the other injury groups; however, there was no difference among the injury groups in terms of procedures performed. The number of procedures performed did not affect the evacuation time. Fifty-six percent of casualties required operative intervention after arrival at WRAMC. With the unavoidable evacuation time that all casualties must endure regardless of severity of the injury, early operative intervention in forward deployed medical assets, such as the forward surgical team and combat support hospital, remains a necessity for rehabilitative and reconstructive efforts of the soldiers at the medical center level. This study prospectively validated the Ottawa Ankle Rules (OAR) in patients presenting with acute ankle trauma to a deployed military clinic at Prince Sultan Air Base in Saudi Arabia. The treating physician determined whether the patient met OAR criteria. The decision to obtain radiographs was left to the discretion of the physician. All radiographs were read by a radiologist blinded to the study. Patients who were not evaluated by radiographs received follow-up in the orthopedic clinic or by telephone. Forty-five consecutive patients were enrolled over a 3-month period. Twenty-nine (64%) patients met the OAR criteria, 32 (71%) received radiographs, and 5 (11%) fractures were identified. All fractures were predicted by the OAR. The sensitivity of the OAR was 1.0 and specificity was 0.40. Negative predictive value was 1.0, positive predictive value was 0.17, likelihood ratio positive value was 1.67, and likelihood ratio negative value was 0.0. The OAR correctly predicted all ankle fractures in the military population studied.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".