Oral immunotherapy with peach juice in patients allergic to LTPs
Bibliographic record
Abstract
INTRODUCTION: To assess the safety and efficacy of an oral immunotherapy regimen in patients with allergy to lipid transfer proteins (LTPs). MATERIALS AND METHODS: Prospective study of 24 patients allergic to LTP with positive skin test and a history of anaphylaxis. All patients underwent a desensitization protocol with commercial peach juice. Rising doses of peach juice were administered, starting with an initial dose of seven drops of a 1/1000 dilution and finishing with a dose of 5 ml at visit 17. At visit 18, all patients performed an open challenge with whole juice at a cumulative dose of 200 ml. All adverse reactions occurring during the administration of the different doses were recorded. Levels of rPru p 3 in the juice were quantified. RESULTS: There were no severe reactions during the desensitization process in the 24 patients. Seven patients (29%) reported mild oral symptoms, and two patients (8%) had urticaria associated with co-factors (one due to exercise and another due to non-steroidal anti-inflammatory drugs). Nineteen patients were able to swallow 5 ml of juice and five withdrew from the study. In two pregnant patients the final challenge was not performed. In all, 17/24 patients were able to consume 200 ml peach juice without developing symptoms. CONCLUSIONS: Oral immunotherapy with the regimen used in this study is an effective and safe short-term therapeutic option for patients with allergy to LTPs. Commercial peach juice appears to be suitable for this treatment.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".