A215 DEFINING THE MODERN GLOBAL INCIDENCE AND PREVALENCE OF EOSINOPHILIC ESOPHAGITIS IN POPULATION-BASED STUDIES
Bibliographic record
Abstract
Abstract Background Eosinophilic esophagitis (EoE) is an immune-mediated condition that results in esophageal dysfunction. Previous research demonstrated a marked increase in both incidence and prevalence of EoE globally, associated with a concomitant increase in type 2 inflammatory diseases. A previous meta-analysis suggested that the pooled prevalence of EoE was 34.4 cases/100,000 population and the incidence was 6.6 cases/100,000 person-years, but this analysis included only studies conducted to 2018. Aims To assess the current global incidence and prevalence of EoE, through systematic review and meta-analysis of population-based studies. Methods Electronic databases (Medline and Embase) were searched to February 22, 2023. Abstracts were screened, and full texts were reviewed for inclusion in meta-analysis. Original population-based studies published after 2018 that reported the incidence or prevalence of EoE in adults or children were included. Meta-analysis of incidence and prevalence rates, reported per 100,000 person-years or per 100,000 population, respectively, were pooled using a random-effects model. Heterogeneity was quantified using the I2 statistic. Results A total of 1916 unique reports were identified, and abstracts were reviewed. 129 full texts were read, and 21 reports met inclusion criteria for population based, incidence and prevalence studies. The pooled global incidence of EoE was 8.43 cases per 100,000 person-years [95% CI: 6.52, 10.34] (I2=99%) (Figure 1). The incidence was similar in adult and pediatric subgroups. The pooled global prevalence of EoE was 68.0 cases per 100,000 population [95% CI: 37.5, 123.4] (I2=99%). Conclusions The incidence and prevalence of EoE in recent studies is higher than that previously published. The prevalence of EoE is anticipated to compound, given that this is a disease typically diagnosed in young patients without an associated increased risk of mortality. Funding Agencies None
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.051 | 0.132 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.011 | 0.020 |
| Bibliometrics | 0.015 | 0.017 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".