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Record W2112253325 · doi:10.1001/archoto.2011.105

Olfactory Dysfunction in Allergic Fungal Rhinosinusitis

2011· article· en· W2112253325 on OpenAlexaffabout
Carl Philpott

Bibliographic record

VenueArchives of Otolaryngology - Head and Neck Surgery · 2011
Typearticle
Languageen
FieldNeuroscience
TopicOlfactory and Sensory Function Studies
Canadian institutionsSt. Paul's Hospital
Fundersnot available
KeywordsRhinologyMedicineVisual analogue scaleChronic rhinosinusitisCohortProspective cohort studyQuality of life (healthcare)OlfactionAudiologyInternal medicinePhysical therapySurgeryOtorhinolaryngologyPsychology

Abstract

fetched live from OpenAlex

OBJECTIVE: To correlate patient reports of olfactory dysfunction after surgical intervention for allergic fungal rhinosinusitis (AFRS) with endoscopic findings, psychophysical testing, and quality-of-life scores. DESIGN: A prospective cohort study. SETTING: A tertiary care rhinology clinic at St Paul's Hospital, Vancouver, British Columbia, Canada. PATIENTS: Eighty-one patients with AFRS seen at routine postoperative follow-up. MAIN OUTCOME MEASURES: The Sniffin' Sticks test and a visual analog scale for the perceived olfactory ability of patients with AFRS were administered, along with a 36-Item Short-Form Health Survey. An endoscopic staging score was assigned for each patient. RESULTS: Forty men and 41 women with AFRS underwent olfactory testing; 52 of these individuals completed all parts of the assessment. The mean threshold, discrimination, and identification score was 19 (hyposmic), with a significant correlation between patients' performance on the Sniffin' Sticks test and endoscopic staging, as well as their reported olfactory ability (P < .001 for all 3 tests). The mean score for the 36-Item Short-Form Health Survey was 71, but there was a poor correlation between it and the threshold, discrimination, and identification score; visual analog scale; and endoscopic scores (P > .05 for all 3 tests). CONCLUSION: All patients with AFRS should be evaluated with olfactory testing and treated according to the results.

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 score0.037
Threshold uncertainty score0.684

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 studies0.0000.001
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 head0.109
GPT teacher head0.249
Teacher spread0.140 · 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

Citations13
Published2011
Admission routes2
Has abstractyes

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