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Record W2024316399 · doi:10.1542/peds.2007-0846bb

Accidental Ingestions in Children With Peanut Allergy

2007· article· en· W2024316399 on OpenAlexaboutno aff
Karla L. Davis, Cecilia P. Mikita

Bibliographic record

VenuePEDIATRICS · 2007
Typearticle
Languageen
FieldMedicine
TopicFood Allergy and Anaphylaxis Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAccidentalPeanut allergyPediatricsAllergyIncidence (geometry)PopulationAccidental poisoningFood allergyPoison controlInjury preventionEmergency medicineEnvironmental healthImmunology

Abstract

fetched live from OpenAlex

Yu JA, Kagan R, Verreault N, et al. J Allergy Clin Immunol. 2006;118:466–472 PURPOSE OF THE STUDY. To determine the current frequency of accidental exposures occurring in peanut-allergic children and identify factors associated with exposure. STUDY POPULATION. Children 4 years of age and older, who were diagnosed with peanut allergy at the Montreal Children's Hospital Allergy Clinic (Quebec, Canada) between January 2000 and February 2005. METHODS. Parents of children with peanut allergy completed questionnaires about accidental exposure to peanut occurring over the preceding year. Details of the accidental exposure requested included age of the child, quantity and type of food ingested, location of ingestion, allergic symptoms, onset and duration of reaction, and treatment administered. Medical charts were reviewed to confirm eligibility criteria, demographic information, atopic history, family history, details of the initial and most severe accidental reaction, number of previous accidental reactions, and previous use of epinephrine. RESULTS. A total of 252 (57.7%) of 437 parents of children with peanut allergy completed a questionnaire. Chart review allowed comparison between participants and nonparticipants. Of participants, 62% were boys and the mean age was 8.1 years. The mean age at diagnosis was 2 years. There were 35 accidental exposures among 29 children over a period of 244 patient-years (annual incidence rate: 14.3%). Reactions were mild (15), moderate (16), and severe (4). Of the 20 children with reactions that were moderate to severe, only 4 received epinephrine. Eighty percent of children attended schools that prohibit peanut; only 1 accidental exposure occurred at school. Neither univariate nor multivariate logistic regression analyses identified any clinically important associations with inadvertent exposure to peanut. CONCLUSIONS. Children with peanut allergy residing in Quebec had an annual incidence rate of accidental exposure to peanut of 14.3%. This finding is substantially lower than previously reported incidence rates. Predictors of accidental exposure could not be identified. REVIEWER COMMENTS. In this study, only 1 of 35 accidental exposures occurred in school. Coupled with the lower incidence of accidental exposures reported in this study, these data may suggest that enhanced education about and awareness of peanut allergy in the public sector have been effective. The majority of accidental exposures occurred at the patient's home (14) or the home of a friend or relative (12), which underscores the critical importance of education of the family, friends, and caregivers of children with peanut allergy.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.012
GPT teacher head0.284
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2007
Admission routes1
Has abstractyes

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