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Record W2093295958 · doi:10.1586/1744666x.2.2.209

Desloratadine for allergic rhinitis

2006· article· en· W2093295958 on OpenAlexaff
Jeffrey Wilken, Adrian Daly, Cynthia Sullivan, Harold Kim

Bibliographic record

VenueExpert Review of Clinical Immunology · 2006
Typearticle
Languageen
FieldMedicine
TopicAllergic Rhinitis and Sensitization
Canadian institutionsWestern University
Fundersnot available
KeywordsDesloratadineMedicineAntihistamineNasal congestionPopulationAnticholinergicDermatologyInternal medicineAnesthesiaPharmacologySurgeryNose

Abstract

fetched live from OpenAlex

Seasonal allergic rhinitis (SAR) and perennial allergic rhinitis (PAR) affect up to 40% of the population (depending on geographical area), and are associated with significant morbidity, socioeconomic costs and reductions in quality of life. Antihistamines are a first-line therapy, with newer nonsedating agents having superseded sedating first-generation drugs. Desloratadine is a nonsedating, nonimpairing antihistamine that is effective in relieving nasal and non-nasal symptoms of SAR and PAR, including nasal congestion. Desloratadine has a 24-h duration of action, enabling once-daily dosing and providing relief of morning symptoms. Clinical trials have demonstrated that it has no performance impairment, cardiovascular effects or clinically relevant interactions with other tested medications. This article reviews the use of desloratadine in the treatment of SAR and PAR.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.398
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.059
GPT teacher head0.414
Teacher spread0.354 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations9
Published2006
Admission routes1
Has abstractyes

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