Egg desensitization is achieved effectively and safely through a low maintenance dose protocol
Bibliographic record
Abstract
Background: Egg allergy is a common IgE-mediated food allergy in children. Oral immunotherapy (OIT) reduces allergic reactions via gradual allergen exposure. Although high maintenance doses (1-6 g egg protein) are often used, they carry higher risks of adverse reactions. Evidence on the safety and effectiveness of lower-dose egg OIT (E-OIT) remains limited. Objective: We sought to determine whether a low dose of 300 mg E-OIT is safe and effective for desensitization. Methods: Twenty-two participants were recruited from the Montreal Children's Hospital; 20 were randomized to an immediate-treatment group or an observation group (egg avoidance for 1 year before OIT). Cumulative tolerated dose (CTD), Gal d 1- and Gal d 2-specific IgE (sIgE) and -specific IgG4 (sIgG4), and skin prick test responses were measured at baseline, postescalation, and maintenance. Adverse events were recorded throughout the study. Results: < .001), and sIgG4/sIgE ratios improved. No significant clinical or immunologic changes occurred during the observation period. Conclusions: Targeting a low maintenance dose of 300 mg E-OIT produces significant clinical and immunologic changes in individuals with egg allergy while maintaining low risk of adverse reactions.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".