Advances in Understanding and Managing Chronic Urticaria
Bibliographic record
Abstract
There have been recent advances in the classification and management of chronic urticaria. The new term chronic spontaneous urticaria (CSU) has replaced chronic idiopathic urticaria and chronic autoimmune urticaria. In addition, chronic inducible urticaria (CINDU) has replaced physical urticaria and includes other forms of inducible urticaria, such as cholinergic and aquagenic urticaria. Furthermore, novel research has resulted in a new understanding with guidelines being revised in the past year by both the American Academy of Allergy, Asthma, and Immunology (AAAAI) and the European Academy of Allergy and Clinical Immunology (EAACI)/Global Allergy and Asthma European Network (GA (2)LEN)/European Dermatology Forum (EDF)/World Allergy Organization (WAO). There are some differences in the recommendations, which will be discussed, but the core updates are common to both groups. The basic treatment for chronic urticaria involves second-generation non-sedating non-impairing H 1 antihistamines as first-line treatment. This is followed by up to a 4-fold increase in the licensed dose of these H 1 antihistamines. The major therapeutic advance in recent years has been in third-line treatment with omalizumab, a humanized monoclonal anti-immunoglobulin E (anti-IgE) antibody that prevents binding of IgE to the high-affinity IgE receptor. Several multicenter randomized controlled trials have shown safety and efficacy of omalizumab for CSU. There are also some small studies showing efficacy of omalizumab in CINDU. While there were previously many treatment options which were lacking in strong evidence, we are moving into an era where the treatment algorithm for chronic urticaria is simplified and contains more evidence-based, effective, and less toxic treatment options.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".