Chronic urticaria in most patients is poorly controlled
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: To translate and linguistically validate the urticaria control test (UCT) to/for Arabic speakers. No Arabic version of the UCT is available to assess disease control in patients with chronic urticaria (CU). Secondary objectives were to assess disease control in Lebanese CU patients and determine influence factors. METHODS: This is a prospective observational study of 178 CU patients diagnosed during their first visit to a private Allergy/Immunology Clinic, Hotel Dieu de France Hospital, Beirut, Lebanon between January and December 2014. RESULTS: Factor analysis showed that all 4 UCT items on the Arabic version converged over a solution of one factor. A high internal consistency was found with a Cronbach's alpha of 0.824. Most patients in this study had chronic spontaneous urticaria (96%), of which 19% also had inducible urticaria. The majority was less than 40 years (67.4%), with disease duration of less than 2 years (70.8%). Most patients used H1-antihistamines, but unfortunately, 34.3% used systemic glucocorticosteroids, of which 24.7% also used H1-antihistamines. The disease was poorly controlled in most patients (79.2%, UCT less than 12). Age, gender, duration, diagnosis, triggers, and/or history of atopy had no influence. CONCLUSION: We developed the first linguistically validated Arabic UCT to improve CU management in Arabic speaking patients. We also found that disease control was poor in most CU patients, and is unaffected by age, disease duration, gender, subtype, triggers, history of atopy, and/or previous treatments.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it