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Record W4409794984 · doi:10.1016/j.waojou.2025.101054

Eosinophilic esophagitis and allergic susceptibility: A systematic review and meta-analysis

2025· review· en· W4409794984 on OpenAlexaboutno aff
Ruoyu Ji, Xichun Cui, Yuxiang Zhi

Bibliographic record

VenueWorld Allergy Organization Journal · 2025
Typereview
Languageen
FieldMedicine
TopicEosinophilic Esophagitis
Canadian institutionsnot available
FundersPeking Union Medical College HospitalChinese Academy of Medical SciencesNatural Science Foundation of Beijing Municipality
KeywordsEosinophilic esophagitisMedicineMeta-analysisDermatologyInternal medicineDisease

Abstract

fetched live from OpenAlex

Background Eosinophilic esophagitis (EoE) is a type 2 helper T (Th2) cell immune-mediated gastrointestinal disease. Accumulating evidence has supported allergic etiology as an underlying mechanism for EoE, but the magnitude of the correlation between EoE and atopy remains ambiguous. Hence, we performed a meta-analysis to evaluate and compare the rate of co-existing common atopic diseases between EoE and non-EoE patients. Methods We searched through electronic databases and reference lists of review articles for studies describing co-existing rates of atopic diseases in EoE and non-EoE patients. EoE was diagnosed based on clinical and pathological evaluations. Risk of bias was assessed using the modified Newcastle-Ottawa Scale. Random-effects models were used for analyses. Quantitative results were presented as odds ratio (OR) and 95% confidence interval (CI). Subgroup analyses and sensitivity analyses were performed to explore and to identify heterogeneity across studies. Publication bias was examined by Egger's test and visualized by funnel plots. Results Altogether, 27 studies containing 1831 cases and 2982 controls were enrolled. 57.2% of EoE patients had co-existing atopic disease. Patients with EoE were more likely to comorbid with atopic diseases (OR = 3.56, 95% CI: 2.27 to 5.59, I 2 = 78%), including asthma (OR = 2.43, 95% CI: 1.94 to 3.06, I 2 = 29%), allergic rhinitis (OR = 5.39, 95% CI: 3.29 to 8.84, I 2 = 78%), atopic dermatitis (OR = 2.46, 95% CI: 1.89 to 2.30, I 2 = 12%) and food allergy (OR = 4.93, 95% CI: 3.96 to 6.14, I 2 = 0%) than non-EoE controls. Heterogeneity sources were explored and identified via subgroup and sensitivity analyses, with the majority of subgroup estimates aligning with the primary findings. No significant publication bias was detected. Conclusions Our findings suggest that EoE patients are more likely to comorbid atopic diseases, favoring the allergic diathesis of EoE. Clinicians should be alert for EoE in allergic patients having upper gastrointestinal symptoms. However, the causality between EoE and atopic diseases was not revealed and remains to be explored.

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)0.011
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.023
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0150.030
Bibliometrics0.0060.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.034
GPT teacher head0.316
Teacher spread0.282 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations3
Published2025
Admission routes1
Has abstractyes

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