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Record W1988779229 · doi:10.1001/archoto.2010.69

Surgical Distance to the Sphenoid Ostium

2010· article· en· W1988779229 on OpenAlexaff
Xiao Zhao, Shamir Chandarana, Murad Husein, John Rogers, Duncan L. MacRae

Bibliographic record

VenueArchives of Otolaryngology - Head and Neck Surgery · 2010
Typearticle
Languageen
FieldMedicine
TopicSinusitis and nasal conditions
Canadian institutionsSt Joseph's Health CareLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsOstiumMedicineSurgery

Abstract

fetched live from OpenAlex

OBJECTIVES: To establish and compare the distance and angle from the limen nasi to the sphenoid ostium in pediatric patients with normal sinonasal anatomy vs pediatric patients with cystic fibrosis (CF). DESIGN: Retrospective review of computed tomographic images. SETTING: Tertiary university-based medical center. PARTICIPANTS: Patients (newborn to age 20 years) with normal sinonasal anatomy (n = 117) or CF (n = 15). MAIN OUTCOME MEASURES: We used a fourth-degree polynomial to curve-fit the distance to the sphenoid ostium vs age for patients with normal sinonasal anatomy, producing a coefficient of determination (R(2)) of 82%. With this regression curve, we produced a normative distance equation and a normative distance graph using age to predict the distance (95% confidence interval). We validated the normative distance curve fit among 30 new pediatric patients. RESULTS: No significant difference in the distance to the sphenoid ostium was found between healthy patients and patients with CF. There was no correlation between age and angle in either patient group. The mean (SD) angle was statistically different between healthy patients (37.5 degrees [7.5 degrees]) and patients with CF (41.4 degrees [7.4 degrees]). CONCLUSIONS: Using a normative distance graph and the mean angle, surgeons performing pediatric endoscopic sinus surgery can predict the distance to the sphenoid ostium for healthy patients and for patients with CF. These findings may decrease complications of endoscopic sinus surgery among the pediatric population.

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 score0.041
Threshold uncertainty score0.318

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.013
GPT teacher head0.266
Teacher spread0.253 · 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

Citations4
Published2010
Admission routes1
Has abstractyes

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