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Record W2530837968 · doi:10.1016/j.jpra.2016.09.001

Parotid duct injury secondary to shark bite injury: Repair with a Crawford stent

2016· article· en· W2530837968 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJPRAS Open · 2016
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Tumors Diagnosis and Treatment
Canadian institutionsThe Scarborough Hospital
Fundersnot available
KeywordsMedicineStentSurgeryParotid ductDuct (anatomy)Lacrimal duct

Abstract

fetched live from OpenAlex

Introduction Here we present a unique case of repair of a parotid injury caused by a shark attack. The repair technique is of interest due to the novel use of a Crawford stent, typically reserved for lacrimal duct injuries. Case description Our patient is a 43-year-old man who suffered a shark bite injury to the face and head ten days prior to surgery. The patient presented with multiple lacerations and a sialocele. During the surgery, a sialendoscope and open incision were used to find the duct laceration. The surgeon decided to utilize a Crawford stent as the stiff metal probe would satisfactorily delineate the structure and anatomy of Stenson's duct. Discussion Often, diagnosis of parotid gland trauma is missed at the time of injury, leading to later complications. In this procedure, we used a Crawford stent as its intrinsic stiffness allows it to tunnel through the duct easily. Conclusion Clinicians should have a high level of suspicion for parotid duct injury in a patient presenting with injury to the face, particularly with laceration type injuries. Our patient had a unique injury that required a novel Crawford stent repair over traditional silicone catheters.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.024
GPT teacher head0.313
Teacher spread0.288 · 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