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Record W2165559031 · doi:10.1177/0194599814555836

Treatment of Aspirin Exacerbated Respiratory Disease with a Low Salicylate Diet: A Pilot Crossover Study

2014· article· en· W2165559031 on OpenAlexaff
Doron D. Sommer, Stephanie Hoffbauer, Michael Au, Leigh J. Sowerby, Michael K. Gupta, Smriti Nayan

Bibliographic record

VenueOtolaryngology · 2014
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsWestern UniversityUniversity of TorontoMcMaster University
Fundersnot available
KeywordsCrossover studyAspirinMedicineInternal medicineRespiratory systemAlternative medicinePathology

Abstract

fetched live from OpenAlex

OBJECTIVE: Aspirin exacerbated respiratory disease (AERD) is comprised of aspirin/acetylsalicylic acid (ASA) sensitivity, bronchial asthma, and nasal polyposis. Treatment of this condition is challenging and may include topical/systemic steroids, endoscopic sinus surgery, and/or aspirin desensitization. STUDY DESIGN: A prospective crossover pilot study (n = 10) was conducted in which patients were randomized into either of 2 groups with 6 weeks of regular diet (R) or 6 weeks of a low salicylate diet (LS). SETTING: The study was conducted in a tertiary otolaryngology clinic. SUBJECTS: Patients with AERD were enrolled in the study. METHODS: Subjective (Sino-nasal Outcome Test-22 [SNOT-22], Nasal Sinus Symptom Scale [NSSS], and the Asthma Control Questionnaire-7 [ACQ-7]) and objective outcome instruments (Peri-Operative Sinus Evaluation [POSE] and Lund-Kennedy Endoscopic Score [LKES]) were used to evaluate patients at baseline, 6 weeks (at crossover), and 12 weeks. RESULTS: Wilcoxon rank sum tests demonstrated that patients on the low salicylate diet had improved scores compared to their regular diet when evaluated by 4 of the 5 outcome measures (SNOT-22 pLS = 0.0059, NSSS pLS = 0.0195, LKES pLS = 0.0039, POSE pLS = 0.005). CONCLUSION: Results of the pilot study indicate that implementation of a low salicylate diet improves the nasal symptoms and nasal endoscopy findings of individuals with AERD. Further research is required to support these findings.

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 score0.799

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.017
GPT teacher head0.282
Teacher spread0.264 · 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

Citations32
Published2014
Admission routes1
Has abstractyes

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