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Record W2046219894 · doi:10.2310/7070.2003.37060

Role of Endoscopic Septoplasty in the Treatment of Atypical Facial Pain

2003· article· en· W2046219894 on OpenAlexaffvenue
Raj Sindwani, Erin D. Wright

Bibliographic record

VenueThe Journal of Otolaryngology · 2003
Typearticle
Languageen
FieldMedicine
TopicNasal Surgery and Airway Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsSeptoplastyMedicineSurgeryFacial painFacial traumaEndoscopyNasal septumNoseOtorhinolaryngologyRhinoplasty

Abstract

fetched live from OpenAlex

BACKGROUND: An endoscopically performed septoplasty enables correction of deformities under superior visualization with limited tissue trauma and offers marked teaching advantages. OBJECTIVE: To investigate the role of endoscopic septoplasty in the treatment of atypical facial pain caused by septal contact points. In addition to describing the technique, we also intended to outline favourable selection criteria for patients who may benefit from this procedure. METHOD: Thirteen patients with unilateral facial pain and septal contact points with lateral nasal wall structures who met our inclusion criteria were selected for endoscopic septoplasty. RESULTS: The follow-up period ranged from 7 to 20 months postoperatively. There were no intraoperative or postoperative complications. Seven of 13 (54%) patients were "completely cured" of their facial pain and another 5 patients (38.5%) were "significantly improved." Only one patient did not improve following surgery. CONCLUSIONS: Endoscopic septoplasty is a useful approach for dealing with some septal abnormalities and can be very effective in the treatment of atypical facial pain in the appropriately selected patient.

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)0.001
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 score0.040
Threshold uncertainty score0.147

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.016
GPT teacher head0.264
Teacher spread0.248 · 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

Citations34
Published2003
Admission routes2
Has abstractyes

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