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Record W3207807621 · doi:10.26676/jevtm.v5i2.206

Hybrid Open and Endovascular Management of a Gunshot Wound to the Carotid Artery

2021· article· en· W3207807621 on OpenAlexaff
Tyler Lamb, Prasad Jetty, Derek J. Roberts

Bibliographic record

VenueJournal of Endovascular Resuscitation and Trauma Management · 2021
Typearticle
Languageen
FieldMedicine
TopicTrauma Management and Diagnosis
Canadian institutionsOttawa HospitalUniversity of Ottawa
Fundersnot available
KeywordsMedicineGunshot woundExternal carotid arterySurgeryInternal jugular veinInternal carotid arteryAngiographyStentCatheterRadiology

Abstract

fetched live from OpenAlex

In addition to standard open surgical techniques, major hemorrhage is increasingly being managed using hybrid (open and endovascular) surgery. We present a case of hybrid management of a carotid artery injury secondary to an oropharyngeal gunshot wound. After performing balloon catheter tamponade with an inflated intraoral Foley catheter, on-table transfemoral angiography demonstrated extravasation from the external carotid artery with arteriovenous fistulization to the internal jugular vein. An endovascular stent graft was deployed, spanning from the common carotid to the internal carotid artery. This facilitated surgical neck exploration and ligation of the external carotid artery and jugular vein injury in zone II/III of the neck while maintaining antegrade cerebral blood flow. The approach presented represents a feasible and effective means to manage these types of difficult-to-access injuries in the endovascular and hybrid surgical era.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.030
GPT teacher head0.287
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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
Published2021
Admission routes1
Has abstractyes

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