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Record W4403342895 · doi:10.7759/cureus.71232

Bilastine Reimagined: A Comprehensive Exploration of Pruritus Management With a Novel Antihistamine

2024· review· en· W4403342895 on OpenAlexaff
B. B. Mahajan, Pravin Banodkar, Gaurav Bhardwaj, Narendra Gokhale, K C Nischal, Sahar El-Khedr Ahmed, Akhilesh Sharma, Mayur Mayabhate, Tejashri A Jaju

Bibliographic record

VenueCureus · 2024
Typereview
Languageen
FieldMedicine
TopicUrticaria and Related Conditions
Canadian institutionsSKiN Health
Fundersnot available
KeywordsMedicineAntihistamineDermatologyAnesthesia

Abstract

fetched live from OpenAlex

Managing pruritic conditions is essential due to their significant impact on patients' quality of life. Chronic urticaria (CU), characterized by persistent itching and hives, severely affects daily activities and sleep. CU includes chronic inducible urticaria and chronic spontaneous urticaria, with the latter lacking identifiable triggers, making treatment especially challenging. CU is a condition that occurs across all age groups, with a higher prevalence among young adults and middle-aged women. Current antihistamine treatments include first-generation antihistamines, which are associated with sedation, and second-generation antihistamines such as cetirizine and fexofenadine, which cause less sedation but have varying efficacy and safety profiles. Bilastine, a novel second-generation H1-antihistamine, offers advantages due to its potent antihistaminic activity, rapid onset of action, and minimal sedation. This narrative review thoroughly synthesizes the evidence for the efficacy and safety of bilastine in treating CU and other pruritic conditions. By analyzing clinical trials, real-world evidence, and comparative studies, this review aims to provide a comprehensive understanding of the role of bilastine in managing pruritic conditions, emphasizing its pharmacokinetic properties, clinical efficacy, and safety profile compared to other antihistamines.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.896
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.082
GPT teacher head0.346
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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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