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Record W4296491889 · doi:10.1093/pch/21.supp5.e73a

Assessment of Gluten Exposures in Children with Celiac Disease

2016· article· en· W4296491889 on OpenAlexaboutno aff
H Brill, J Dowhaniuk, J Cheng, Nihal Pai, H Mileski, P Tutelman, Joyce Saab

Bibliographic record

VenuePaediatrics & Child Health · 2016
Typearticle
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsnot available
Fundersnot available
KeywordsGlutenMedicineContext (archaeology)DiseaseGluten freePediatricsFamily medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: Celiac Disease (CD) is one of the most common chronic diseases of childhood. A strict, lifelong gluten-free diet (GFD) remains the sole treatment for CD. Reports of accidental or intentional ingestion of gluten are common, but little is known about the sources or context of such exposures. OBJECTIVES: We sought to ascertain the self-reported causes for gluten exposure for children with Celiac Disease. DESIGN/METHODS: Parents of children with biopsy-proven CD followed at McMaster Children’s Hospital were asked to review a 22-item questionnaire listing sources, situations and causes of gluten exposure for their child. The questionnaire encompassed both intentional and unintentional gluten exposures and was developed through consultation with Registered Dietitians and Faculty in the Division of Pediatric Gastroenterology at McMaster Children’s Hospital. Children independently completed a similar 21-item questionnaire adapted for pediatric use. Participants were invited to describe any additional sources or circumstances leading to gluten consumption not captured in the questionnaire. RESULTS: A total of 123 families participated in the study with a median of 32 months on a GFD. A minimum of one cause of gluten exposure was selected by 65% of parents and 60% of children. Restaurant dining was identified as a source of gluten consumption by 39% of parents, due to a lack of knowledge of the GFD by restaurant staff or poor labeling of menu items. Other commonly selected items on the parent questionnaire included: difficulty while traveling (13%), to avoid exclusion at social events (12%), and a lack of negative symptoms following gluten exposure (9%). Few parents identified cost (2%), or the availability of gluten-free food as a concern (5%). Children most commonly identified restaurant eating (32%), and the lack of any negative symptoms from eating gluten as the main causes of gluten exposure (14%). In this study population, 11% of children acknowledged consuming gluten because they felt left out at either home, school or with friends. CONCLUSION: This study provides information about the common causes of gluten exposure for children with CD in Ontario, Canada. Restaurant dining and travel were the most commonly identified sources of gluten ingestion. Our study highlights the need for improved menu labeling and education of restaurant staff, requiring both policy changes and dialogue with food service industries. While availability of gluten-free products has greatly improved, exclusion from social activities remain a concern for both children and their parents. Further qualitative studies may build on these identified themes to better understand challenges families face with the GFD.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.010
GPT teacher head0.308
Teacher spread0.298 · 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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