The pathology and causes of tissue eosinophilia in the gastrointestinal tract
Bibliographic record
Abstract
Eosinophilic inflammation in the gastrointestinal tract may occur as a primary eosinophilic disorder or as a secondary response with other causes. Primary eosinophilic gastrointestinal disorders (EGIDs) are Th2-mediated allergic diseases that overlap pathogenetically with atopic conditions involving other organs. The pathological diagnosis of primary EGIDs can be challenging, as the quantity of eosinophils considered to be 'abnormal' is difficult to define, and the diagnosis, by definition, requires exclusion of the far more common secondary causes. Our understanding of the basic biology and natural history of eosinophilic oesophagitis has advanced considerably over the last decade, whereas other EGIDs have proven more difficult to characterize; nonetheless, some recent advances have been made. This review summarizes current knowledge regarding the clinical presentation, diagnosis, natural history and treatment of EGIDs, including eosinophilic oesophagitis. We also draw attention to the numerous secondary causes of tissue eosinophilia in the gastrointestinal tract, and suggest a practical approach to the histological assessment, diagnosis and reporting of EGIDs.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".