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Record W4412448046 · doi:10.1016/j.jaci.2025.06.004

Comparative efficacy and safety of biologics and systemic immunomodulatory treatments for chronic urticaria: Systematic review and network meta-analysis

2025· article· en· W4412448046 on OpenAlexaff
A. Chu, Paul Oykhman, Xiajing Chu, Daniel Rayner, Sukhdeep Bhangal, Andrew Dam, Janice Hua Xu, Javed Sheikh, Kathryn P Trayes, Winfred Frazier, David M. Lang, Lisa A. Beck, Sameer K. Mathur, Susan Waserman, Lehana Thabane, Rachel N. Asiniwasis, Lauren Runyon, Joseph J. Moellman, E Oliver, Jeffrey Shi Kai Chan, Emily Cole, Diane R. Baker, David A. Khan, Moshe Ben‐Shoshan, Kathryn E. Wheeler, Sanaz Eftekhari, Donna D. Gardner, Tonya Winders, Maisie Flindall, Jamie Tattrie, Jonathan A. Bernstein, Sarbjit S. Saini, Derek K. Chu

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2025
Typearticle
Languageen
FieldMedicine
TopicUrticaria and Related Conditions
Canadian institutionsSt. Joseph’s Healthcare HamiltonMcGill University Health CentreSouthlake Regional Health CenterMcGill UniversityUniversity of ReginaImpactMcMaster UniversityQueen's UniversityWestern UniversityUniversity of TorontoOntario Clinical Oncology Group
Fundersnot available
KeywordsMedicineMeta-analysisChronic urticariaIntensive care medicineImmunologyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Chronic urticaria is a common skin condition characterized by itchy wheals (hives), angioedema, or both, lasting for 6 weeks or more. Beyond antihistamines, multiple systemic treatments are available, but there is uncertainty regarding their comparative effects on chronic urticaria outcomes. OBJECTIVE: We systematically synthesized the comparative benefits and harms of systemic treatments for chronic urticaria. METHODS: As part of updating the AAAAI/ACAAI JTFPP chronic urticaria guidelines, we searched Medline, Embase, Central, Chinese Biomedical Databases (CBM), China National Knowledge Infrastructure (CNKI), Chinese Scientific Journal Database (VIP), and Wanfang from inception to February 4, 2025, for randomized trials addressing systemic immunomodulatory treatments, including phototherapy, for chronic urticaria. Paired reviewers screened records, extracted data, and assessed risk of bias. Random effects Bayesian network meta-analyses addressed urticaria activity (comprising itch and wheal scores), angioedema activity, health-related quality of life, and adverse events. The GRADE approach informed certainty-of-evidence ratings (PROSPERO: CRD42023429819). RESULTS: We included 93 studies (n = 11,398; mostly adult and adolescent participants across 83 randomized trials and 10 nonrandomized studies) that evaluated 42 interventions. With high certainty, standard-dose omalizumab (300 mg every 4 weeks) and remibrutinib are among the most effective for improving multiple patient-important outcomes. The safety profile of remibrutinib, however, is less certain. Dupilumab improved urticaria activity, but its impact on quality of life is uncertain, and no dupilumab trials addressed angioedema activity. Cyclosporine may be among the most effective for improving urticaria activity but may be among the most harmful in increasing the frequency of any adverse events. Azathioprine, dapsone, hydroxychloroquine, mycophenolate, sulfasalazine, and vitamin D may improve outcomes, while benralizumab, quilizumab, and tezepelumab may not differ from placebo, though the evidence is uncertain. Findings were consistent across age groups and baseline severity, and were robust to subgroup analyses. CONCLUSIONS: Among individuals with chronic urticaria refractory to antihistamines, standard-dose omalizumab and remibrutinib are among the most effective drugs across multiple patient-important outcomes with a favorable safety profile across the studied duration. Cyclosporine may be effective but may be among the most harmful. Dupilumab improves itch and wheals, but it is uncertain whether it improves angioedema or quality of life. Lower doses of omalizumab are of intermediate effectiveness and favorable safety. The net benefit of conventional immunosuppressants is uncertain.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.056
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.056
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0220.034
Bibliometrics0.0090.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.063
GPT teacher head0.378
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
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

Citations20
Published2025
Admission routes1
Has abstractyes

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