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Record W2946431587 · doi:10.1016/j.ijscr.2019.05.028

Rare constellation of abdominal vascular injuries in blunt trauma

2019· article· en· W2946431587 on OpenAlexaff
Karan D’Souza, M. Bleszynski, Harvey G. Hawes

Bibliographic record

VenueInternational Journal of Surgery Case Reports · 2019
Typearticle
Languageen
FieldMedicine
TopicAbdominal Trauma and Injuries
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineHemoperitoneumSurgeryBlunt traumaRadiologyAbdominal traumaThrombusLeft gastric arteryDissection (medical)PseudoaneurysmBluntArteryAneurysm

Abstract

fetched live from OpenAlex

INTRODUCTION: Abdominal visceral artery pseudoaneurysms and dissections in blunt trauma are uncommon, however, solitary vascular injury of the left gastric artery and development of multifocal dissections are extremely rare with only 5 reported cases in the literature. PRESENTATION OF CASE: A 79-year-old male presents two days after a motor boating incident in profound hemorrhagic shock. Subsequent CT imaging revealed moderate hemoperitoneum, two pseudoaneurysms of the left gastric artery measuring 6 mm and 9 mm, as well as attenuation of the artery in keeping with a focal dissection and intramural thrombus, and no active extravasation. After stabilization with blood product resuscitation, he was managed conservatively with administration of ASA and close monitoring. CONCLUSION: Abdominal visceral artery vascular injuries in blunt trauma can be managed safely with close monitoring, antithrombotic agent, and medical co-morbidity optimization. Instability or worsening/ persistent symptoms should be considered for endovascular treatment or surgical ligation Further research and reporting of management approaches are required.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.297
Teacher spread0.273 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2019
Admission routes1
Has abstractyes

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