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Record W1980936789 · doi:10.1017/s0022215105005396

Steroids in rhinoplasty: a survey of current UK otolaryngologists' practice

2005· article· en· W1980936789 on OpenAlexaff
Enyunnaya Ofo, Amit Kant Singh, Joe Marais

Bibliographic record

VenueThe Journal of Laryngology & Otology · 2005
Typearticle
Languageen
FieldMedicine
TopicNasal Surgery and Airway Studies
Canadian institutionsRoyal Ottawa Mental Health Centre
Fundersnot available
KeywordsEcchymosisRhinoplastyMedicineRandomized controlled trialSurgeryOtorhinolaryngologyGeneral surgeryNose

Abstract

fetched live from OpenAlex

The use of steroids during rhinoplasty to reduce post-operative periorbital oedema and ecchymosis has been advocated. A number of randomized controlled trials have demonstrated the benefit of steroids in rhinoplasty. The aim of this study was to determine current UK practice in the use of steroids during rhinoplasty performed by otolaryngologists. A postal survey of consultant otolaryngologists in the UK was conducted. We received 203 responses, with 115 consultants performing 12 or more rhinoplasties per year. Only 28 consultants (24 per cent) used steroids routinely in patients undergoing rhinoplasty and of these 11 used a protocol, although this was unpublished. Dexamethasone was the most common steroid used (82 per cent), being administered as a single intravenous dose of 8 mg in the majority of cases (54 per cent). There was no correlation between the use of steroids and the number of rhinoplasties performed by individual consultants. Despite the evidence supporting the use of steroids to reduce post-operative sequelae following rhinoplasty, only a minority of consultants in the UK appear to use them as part of their practice.

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)0.004
metaresearch head score (Gemma)0.003
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 score0.019
Threshold uncertainty score0.491

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.044
GPT teacher head0.347
Teacher spread0.303 · 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

Citations20
Published2005
Admission routes1
Has abstractyes

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