The impact of oral food challenge tests on food allergy health‐related quality of life
Bibliographic record
Abstract
Food allergy health-related quality of life (FAQOL) has been shown to improve after food challenge, but it is unknown whether this improvement is attributed to the procedure itself. Using the Food Allergy Quality of Life Questionnaire-Parent Form, we assessed FAQOL changes over time for children who underwent food challenges in the only paediatric allergy clinic in Ireland. Of 54 children who had a food challenge between September 2012 and February 2013, 25 were positive (allergic) and 29 were negative (nonallergic). FAQOL improved significantly from 2 months prechallenge to 2 months postchallenge for both groups, but began to decrease at 6 months postchallenge in allergic patients. Our findings confirm the positive therapeutic effect of the food challenge on FAQOL; however, the effect appears to wane between 2 and 6 months postchallenge in those confirmed food-allergic, highlighting the importance of regular contact with families of food-allergic children after the food challenge.
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 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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".