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Record W3134966622 · doi:10.1097/scs.0000000000007529

Orbital Fractures and Air Travel

2021· article· en· W3134966622 on OpenAlexaff

Bibliographic record

VenueJournal of Craniofacial Surgery · 2021
Typearticle
Languageen
FieldMedicine
TopicFacial Trauma and Fracture Management
Canadian institutionsAlberta Bone and Joint Health Institute
Fundersnot available
KeywordsAir travelOrbital FractureMEDLINEUnderpinningValsalva maneuverPoison controlInjury prevention

Abstract

fetched live from OpenAlex

Previous surveys indicate that the majority of clinicians recommend avoidance of air travel for a period of time following an acute orbital fracture. This advice has largely been based on the theoretical risk that in-flight pressure variation may exacerbate orbital emphysema and produce visual compromise, though no previous reviews have been conducted on the evidence underpinning this advice. The purpose of this study was, therefore, to conduct a systematic review of the literature pertaining to the safety of air travel in the setting of an acute orbital fracture. A systematic review of the OVID Medline database - and of cases referenced as providing evidence for adverse outcomes due to flying with an orbital fracture - was carried out.Two articles were identified from the literature with data specific to patients who undertook air travel following orbital fractures. A large case series identified no complications in patients exposed to both pressurized and unpressurized air travel, and only a single case report detailed an adverse outcome requiring intervention. The remainder of the articles that had previously been cited as evidence against air travel involved additional factors such as intra-ocular pathologies. There is, therefore, a paucity of evidence to support the conventional advice regarding avoidance of air travel, though clinicians should exclude the possibility of an associated intra-ocular injury, advise against nose-blowing in flight, and provide advice regarding alternative methods to the Valsalva maneuver for equalizing middle ear pressure in flight. LEVEL OF EVIDENCE: IV.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.465

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0000.000

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 head0.019
GPT teacher head0.274
Teacher spread0.255 · 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
Published2021
Admission routes1
Has abstractyes

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