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Record W247240214 · doi:10.1186/1939-4551-8-s1-a24

Food allergy and PPI-responsive esophageal eosinophilia

2015· article· en· W247240214 on OpenAlexaff
David Huang, Jason Kangeun Ko, Jorge Mazza

Bibliographic record

VenueWorld Allergy Organization Journal · 2015
Typearticle
Languageen
FieldMedicine
TopicEosinophilic Esophagitis
Canadian institutionsWestern University
Fundersnot available
KeywordsEosinophilic esophagitisMedicineEosinophiliaInternal medicineFood allergyGastroenterologyEosinophilAllergyFluticasoneGERDProton-pump inhibitorAsthmaDermatologyImmunologyDiseaseReflux

Abstract

fetched live from OpenAlex

This article was originally published online on 8 April 2015 A retrospective study to compare the food allergy prevalence in proton-pump inhibitor-responsive esophageal eosinophilia (PPI-REE) patients and patients with eosinophilic esophagitis (EoE) not responsive to PPI therapy. A chart review was performed for 30 patients diagnosed with EoE, prescribed PPI therapy and tested with atopic patch tests for a panel of food allergens. Patients were categorized as having PPI-REE if past clinical assessments noted significant symptomatic improvement with PPI therapy. Those without clinical response to PPI were categorized as non-responders. The two groups were compared on frequencies of other treatments offered (swallowed steroids (e.g. fluticasone, budesonide), esophageal dilatation), histology (eosinophil counts in esophageal biopsy at diagnosis) and frequency of positive food allergy tests. Statistical analysis used chi-square tests for frequency comparisons and student’s t-test for average eosinophil count comparison. Of the 30 patients reviewed, 12 were found to have PPI-REE. There was no significant difference in other treatments offered to PPI-REE and non-responsive patients (10/12 and 8/18, respectively; p = 0.21), average eosinophil counts at diagnosis (65.7 ± 29.2 and 42.6 ± 15.6, respectively; p = 0.14), nor in likelihood of food allergy as detected by skin prick (9/12 and 9/18, respectively; p = 0.98) or food patch testing (9/12 and 9/18, respectively; p = 0.60). It was hypothesized that PPI-REE cases would be less atopic, with regards to foods, than non-responders due to the possible prevalence of undiagnosed GERD in the former group [1.Liacouras CA Furuta GT Hirano I Atkins D Attwood SE Bonis PA Burks AW Chehade M Collins MH Dellon ES et al.Eosinophilic esophagitis: updated consensus recommendations for children and adults.The Journal of allergy and clinical immunology. 2011; 128 (e26, quiz 21-22.): 3-20Abstract Full Text Full Text PDF PubMed Scopus (1578) Google Scholar]. However, this review failed to show any statistically significant differences between the two groups. This is consistent with attempts of other groups to distinguish PPI-REE and EoE patients on other clinical parameters [2.Dellon ES Speck O Woodward K Gebhart JH Madanick RD Levinson S Fritchie KJ Woosley JT Shaheen NJ Clinical and endoscopic characteristics do not reliably differentiate PPI-responsive esophageal eosinophilia and eosinophilic esophagitis in patients undergoing upper endoscopy: a prospective cohort study.The American journal of gastroenterology. 2013; 108: 1854-1860Crossref PubMed Scopus (192) Google Scholar].

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 score0.003
Threshold uncertainty score0.010

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.018
GPT teacher head0.244
Teacher spread0.226 · 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
Published2015
Admission routes1
Has abstractyes

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