What is the role of the IgE-mediated allergy in severe asthma?
Bibliographic record
Abstract
INTRODUCTION: Severe asthma (SA) is a heterogenous disease with multiple clinical phenotypes. 'Early atopic asthma' is the predominant phenotype in children with SA. This phenotype is also identified in adults with SA. However, the role of immunoglobulin E (IgE)-mediated allergy in SA is still under debate. AREAS COVERED: This review summarizes current evidence linking IgE-mediated sensitization to SA. Electronic search was realized in Medline and PubMed databases by using the following terms: 'severe asthma,' 'IgE-mediated' associated with 'environmental allergens,' 'aeroallergens,' 'house dust mites,' 'pollens,' 'pets,' 'moulds,' 'cockroach,' 'food allergy,' 'drug allergy,' 'venom allergy,' 'atopic dermatitis,' 'eczema,' 'anaphylaxis.' Exposure to most aeroallergens of SA patients with atopy is associated with an increased risk of severe exacerbations. Children with food allergy have more severe asthma, poor symptoms control, and a high hospitalization rate. More limited evidence exists for the other IgE-mediated conditions and SA. EXPERT OPINION: IgE-mediated pathways play central role in the pathogenesis of various allergic diseases, including asthma. However, the allergic burden seems to be more important in children with SA than in adults. Future research may provide a better understanding of the role of IgE-mediated allergy in SA and coexisting allergic diseases with improvement in their clinical outcomes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".