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Anaesthesia for maxillofacial trauma

2010· book-chapter· en· W2476537606 on OpenAlexaboutno aff
J. P. J. CURRAN

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldMedicine
TopicFacial Trauma and Fracture Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDisfigurementEtiologySurgeryFacial traumaAnesthesia

Abstract

fetched live from OpenAlex

Abstract Maxillofacial trauma is a vitally important area of trauma management. Four of five of our vital senses are contained within the facesight, hearing, smell, and taste. Also, scarring and disfigurement to the face deeply affects our sense of self and our front to the world. The aetiology of facial trauma has shifted in the more developed world towards assault being the most common cause (at around 3641%), closely followed by road traffic accidents (RTAs)(2532%). Other causes listed in order of frequency are falls (mainly in the extremes of age), sport, occupational injuries, and gunshot wounds. As a group, 5570% of patients with significant facial trauma will have other serious injuries. Looking at it the other way around, 30% of severely injured trauma patients also had maxillofacial trauma4. The most common isolated fracture reported is the nose which serves as the ‘crumple zone’ for the face when hit from the front. Those patients with injuries resulting from gunshots and RTAs had higher injury severity scores (ISS). One study from an American level 1 trauma centre looked at those patients with maxillofacial injuries and an ISS of over 12. They found that 43.7% of patients also had cerebral haematoma, with subdural being the most common. The second most commonly associated injury was pulmonary trauma, in particular contusions. Forty-two per cent of patients required intubation and 14% required a tracheostomy at some point. With regard to cervical spine injuries, 5% also had a cervical fracture and a quarter of these had neurological deficit. Looking at significant trauma injuries in Canada between 1992 and 1997, 17% of patients with an ISS score of over 12 had maxillofacial injuries. The entire group had some kind of head injury with altered conscious level and 11% had a cervical spine injury. Ophthalmic injury has been strongly linked to not wearing a seatbelt, increasing the risk from 2% up to 20% in one review. Blindness is associated with 0.5 3% of midfacial fractures. Upper and midfacial fractures are associated particularly with smell or taste disturbances. In one Italian series, about one-third of those who had treatment for upper third and mid third fractures suffered long-term disturbances of smell or taste.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.176
Threshold uncertainty score0.590

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1760.076

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 head0.269
Teacher spread0.239 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2010
Admission routes1
Has abstractyes

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