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Record W2800291315 · doi:10.3357/amhp.4867.2018

The Aeromedical Management of Allergic Rhinitis

2018· article· en· W2800291315 on OpenAlexaboutno aff
Nicole Powell-Dunford, Charles L. Reese, Alaistair Bushby, Berit H. Munkeby, Sébastien Coste, Višnja Livajić Pezer, Lars Rosenkvist

Bibliographic record

VenueAerospace Medicine and Human Performance · 2018
Typearticle
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsnot available
Fundersnot available
KeywordsHumMedicineAviation medicineMedical emergencyAeronauticsEngineeringPathologyHistory

Abstract

fetched live from OpenAlex

INTRODUCTION: Allergic rhinitis is a prevalent condition warranting special aeromedical consideration due to its potential for acute and painful manifestations involving the middle ear or paranasal sinuses during rapid barometric pressure changes. Although second generation antihistamines and intranasal steroids are safe and effective treatments for this common condition, aeromedical management varies. METHODS: An aeromedical policy review of 14 public access civil and military data repositories was undertaken. Policy within a convenience sample of nine countries (Australia, Canada, Croatia, France, New Zealand, Norway, Sweden, United Kingdom, and United States) was further ascertained through subject matter expert consultation. A convenience sample of recent primary care review articles and ENT guidelines were reviewed in order to substantiate the evidence basis for aeromedical practices. RESULTS: Policies range from disqualification of flight applicants with any history of allergic rhinitis to the authorization of short-term, select undeclared medication use for the management of mild symptoms, with military authorities applying a more conservative approach. A range of intranasal and oral therapies are approved and requirements for waiver vary across most authorities. DISCUSSION: Variation in practices must be considered when managing flight crews as part of military coalition peacetime and combat operations, as well as for international civil aviation missions conducted in support of natural disaster relief, rescue, and other stability efforts. Standardization of approved therapies for allergic rhinitis could be a useful starting point for the harmonization of aeromedical global policies in the future. Beneficial national specific policy updates may be undertaken on the basis of international experience.Powell-Dunford N, Reese C, Bushby A, Munkeby BH, Coste S, Pezer VL, Rosenkvist L. The aeromedical management of allergic rhinitis. Aerosp Med Hum Perform. 2018; 89(5):453-463.

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)0.003
metaresearch head score (Gemma)0.011
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: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.285
Teacher spread0.261 · 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
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

Citations4
Published2018
Admission routes1
Has abstractyes

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