Long Segment Colon Degloving From Blunt Abdominal Trauma
Bibliographic record
Abstract
It is extremely rare for blunt abdominal trauma to result in serious injuries to hollow organs. Degloving injuries of the colon are one of the rarest injuries following blunt abdominal trauma. Intestinal degloving is often seen following rapid deceleration, changes in velocity, crushes and motor vehicle collisions (MVCs). Victims with intestinal degloving injuries can experience vague symptoms despite the severity of the lesion. We present the case of a 21-year-old male with insulin-dependent type 1 diabetes who was involved in a high-speed MVC. He sustained second- and third-degree burns to the extremities, right carotid artery dissection, and multiple fractures to the mandible, pelvis and forearm. Free fluid was also noted in the pelvis prompting an emergent exploratory laparotomy. In the operating room, he was found to have a cecal serosal injury involving more than 50% of the circumference and a sigmoid and descending colon degloving injury of 50 cm. The injured segments were resected, and primary anastomoses were created. Degloving of the colon is extremely rare and the sigmoid is one of the more frequently documented locations of injury. Our case contributes to the limited literature available pertaining to the treatment of evolution of these severe colon injuries.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".