Diagnosis and management of eosinophilic esophagitis in children.
Bibliographic record
Abstract
QUESTION: After a few years of difficulty swallowing solids and feeling like food was getting stuck, a 13-year-old boy in my practice with peanut allergy and asthma was recently diagnosed with eosinophilic esophagitis (EoE). What is EoE and how is it diagnosed and managed? ANSWER: Eosinophilic esophagitis is an immune-mediated disease resulting in inflammation of the esophagus. It is increasing in prevalence and incidence in countries like Canada, and frequently occurs in children with other allergic conditions. Unexplained feeding difficulties, vomiting, and solid-food dysphagia, especially in boys with atopy, supports the possibility of having EoE. A formal diagnosis is obtained by reviewing esophageal biopsies obtained through upper endoscopy performed while the patient is taking a proton pump inhibitor. Once EoE has been established, management should involve working collaboratively with gastroenterology and allergy specialists. Medical or dietary treatments are acceptable therapeutic approaches.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 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".