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Record W2210253146 · doi:10.1038/ajg.2015.219

Gluten Introduction, Breastfeeding, and Celiac Disease: Back to the Drawing Board

2015· article· en· W2210253146 on OpenAlexaff
Benjamin Lebwohl, Joseph A. Murray, Elena F. Verdú, Sheila E. Crowe, Melinda Dennis, Alessio Fasano, Peter H.R. Green, Stefano Guandalini, Chaitan Khosla

Bibliographic record

VenueThe American Journal of Gastroenterology · 2015
Typearticle
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsPopulation Health Research InstituteMcMaster University
FundersNational Center for Advancing Translational SciencesNational Institute of Diabetes and Digestive and Kidney Diseases
KeywordsMedicineBreastfeedingDiseaseGlutenEnvironmental healthPregnancyBreast feedingPediatricsIntensive care medicineInternal medicinePathology

Abstract

fetched live from OpenAlex

This commentary by the leadership of the North American Society for the Study of Celiac Disease (NASSCD) concerns recent research findings regarding infant feeding practices. Celiac disease has increased markedly in recent decades, and seroprevalence studies indicate that this is a true rise, rather than one due to increased awareness and testing. Prior studies have suggested that infant feeding practices and timing of initial gluten exposure are central to the development of celiac disease. Two recent multicenter randomized trials tested strategies of early or delayed gluten introduction in infants, and neither strategy appeared to influence celiac disease risk. These studies also found that breastfeeding did not protect against the development of celiac disease. While disappointing, these results should spur the study of wider environmental risk factors beyond infant feeding, such as intrauterine and perinatal exposures as well as environmental influences later in life, including drug exposure, microbial infections, and the microbiome. Given that celiac disease can develop at any age, it is imperative to study these proposed triggers so as to elucidate the loss of tolerance to gluten and to develop future intervention strategies.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score0.227

Codex and Gemma teacher scores by category

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

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 head0.014
GPT teacher head0.278
Teacher spread0.264 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations42
Published2015
Admission routes1
Has abstractyes

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