Medical and Demographic Characteristics of Patients With Eosinophilic Esophagitis and Celiac Disease
Bibliographic record
Abstract
BACKGROUND: Eosinophilic esophagitis (EoE) and celiac disease are both chronic T helper cell-mediated inflammatory conditions of the digestive tract. Although an association between these two conditions has been suggested, it has not been well characterized in a real-world setting. GOALS: Our objective was to better examine the association between celiac disease and EoE using a real-world population database. STUDY: This was a retrospective cohort study of data using TriNetX, a global population database, to identify patient records using International Classification of Disease 10 (ICD-10) codes. We organized participants into six distinct cohorts predicated on age and diagnoses of celiac disease and EoE between April 28, 2003, and April 28, 2023. Patient demographics, prevalence, incidence, and medical characteristics of each cohort were extracted. RESULTS: Among 46,398 patients with EoE and 84,383 patients with celiac disease, individuals with EoE demonstrated a higher prevalence (2.76%) and incidence (329/100,000 persons/year) of celiac disease compared with those without EoE (0.21% prevalence and 146/100,000 incidence, between 2021 and 2023). A concurrent diagnosis of both conditions increased the risk of asthma (RR: 2.00 pediatric, 1.82 adult), allergic rhinitis (RR: 2.35 pediatric, 1.81 adult), atopic dermatitis (RR: 3.28 pediatric, 2.07 adult), and rheumatoid arthritis (RR: 3.53 pediatric, 1.41 adult). In addition, patients with celiac disease with EoE exhibited a heightened risk for iron deficiency anemia (aHR 1.789; 95% CI: 1.166 to 2.745). CONCLUSIONS: Both the incidence and prevalence of EoE are elevated in patients with celiac disease and vice versa. These concurrent diagnoses affect disease characteristics and heighten the risk of complications in celiac disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".