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Record W4396535977 · doi:10.14740/jmc4205

Long Segment Colon Degloving From Blunt Abdominal Trauma

2024· article· en· W4396535977 on OpenAlexvenueno aff
Aldin Malkoc, Lana Mamoun, Harpreet Gill, Danielle Cremat, Gbemisola Lawal, William H. Sherman

Bibliographic record

VenueJournal of Medical Cases · 2024
Typearticle
Languageen
FieldMedicine
TopicAbdominal Trauma and Injuries
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDeglovingBluntSurgery

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.035
GPT teacher head0.346
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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