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Record W4416985498 · doi:10.7573/dic.2025-8-2

Effectiveness of the antihistamine and anti-PAF effects of rupatadine in allergic diseases: off-label use in a case series study

2025· article· en· W4416985498 on OpenAlexaff
Rita Aguiar, Rocío Concepción Albores-Arguijo, Ewa Cichocka‐Jarosz, Joanna Jerzyńska, Douglas P. Mack

Bibliographic record

VenueDrugs in Context · 2025
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAntihistamineAntagonistSeries (stratigraphy)Histamine H1 AntagonistsSafety profile

Abstract

fetched live from OpenAlex

receptor and exhibits additional strong antagonist activity toward platelet-activating factor (PAF) receptors as well as exerting other anti-inflammatory effects. All these properties have positioned rupatadine as a remarkable treatment option for adults and children with various allergic and skin disorders, including allergic rhinitis and urticaria of different causes. This case series shows the real-world effectiveness and safety of off-label rupatadine use in paediatric patients with clinically relevant complex allergy-related and dermatology-related conditions, whose underlying pathogenetic mechanisms were successfully addressed by the pharmacological profile of rupatadine.

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)0.001
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 score0.013
Threshold uncertainty score0.568

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.011
GPT teacher head0.288
Teacher spread0.276 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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