Allergic rhinitis: the eligible candidate to mite immunotherapy in the real world
Bibliographic record
Abstract
As standard drug treatment of allergic rhinitis (AR) is not completely satisfactory, allergen immunotherapy (AIT) represents the only current treatment with the potential to modify the natural history. House dust mite (HDM) allergy is very common. The aim of the current experience was to describe the clinical profile of HDM-allergic patients with AR who received AIT in a real world model, such as allergy clinics. Globally, 239 patients (126 adults and 113 children; 107 females and 132 males; mean age 21 years, age range 6-56 years) were evaluated. AIT was prescribed in 59 patients (24.7%), 44 adults (35%) and 15 children (13.3%). The current findings deriving from this real world multicentre study are consistent with previous investigations on HDM-AIT and define some clinical characteristics of the eligible candidate to this treatment. In fact, severity of ocular-nasal symptoms and over-use of symptomatic medications may typify the ideal candidate to HDM-AIT and SLIT was the preferred choice.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".