Eosinophilic colitis: an update on pathophysiology and treatment
Bibliographic record
Abstract
BACKGROUND: Primary eosinophilic gastrointestinal disorders, a spectrum of inflammatory conditions, occurs when eosinophils selectively infiltrate the gut in the absence of known causes for such tissue eosinophilia. These may be classified into eosinophilic esophagitis, eosinophilic gastroenteritis and eosinophilic colitis (EC). This review focuses on EC: its pathogenesis, epidemiology, clinical presentation, diagnosis and current approach to treatment. SOURCES OF DATA: A literature review published in English was performed using Pubmed, Ovid, Google scholar search engines with the following keywords: eosinophilic gastrointestinal disorder, EC, eosinophils, colitis and gastrointestinal. AREAS OF AGREEMENT: The basis for primary EC appears related to increased sensitivity to allergens, principally as a food allergy in infants and a T lymphocyte-mediated event in adults. Endoscopic changes are generally modest, featuring edema and patchy granularity. AREAS OF CONTROVERSY: Clear clinical and pathological diagnostic criteria of EC and its management strategy. GROWING POINTS: Intestinal involvement of EC is primarily mucosal, presenting as a mild self-limited proctitis in infants and self-limited colitis in young adults. Therapeutic approaches based on case reports tend to use either elimination diets to avoid a presumed allergen; agents traditionally used in inflammatory disease or targeted drugs like anti-histamines or leukotriene receptor antagonists. AREAS TIMELY FOR DEVELOPING RESEARCH: Prospective randomized controlled trials addressing the disease natural history, possible preventive methods and effective medical approach and long-term prognosis are required.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".