Gastral Antral Biopsy in the Differentiation of Pediatric Colitides
Bibliographic record
Abstract
Differentiation of Crohn's disease (CD) from ulcerative colitis (UC) is problematic, primarily when inflammation is confined to the colon. In a historical cohort study, we evaluated the usefulness of baseline gastric antral biopsies in the differentiation of pediatric chronic colitides.During initial investigation for suspected inflammatory bowel disease, 39 children and adolescents with colitis but normal small bowel radiography underwent pretreatment upper endoscopy concurrently with colonoscopy. Two reviewers assigned a colonoscopic diagnosis (colonic CD, UC, or indeterminate colitis) based on the macroscopic and microscopic appearances of the colonic mucosa. Antral histological findings were compared between groups using Fisher's exact test.Five (14%) of colonoscopic diagnoses (four indeterminate, one UC) were changed to CD by the finding of granulomatous inflammation in antral biopsies. Nonspecific antral gastritis was found in similar proportions of children and adolescents with Crohn's colitis and UC (92% vs 75%). Focal antral gastritis was more common in patients with Crohn's colitis than UC (52% vs 8%).Nonspecific antral gastritis is common in all forms of chronic colitis. Nevertheless, upper gastrointestinal endoscopy with biopsy is useful in the differentiation of inflammatory bowel disease confined to the colon, particularly when colonoscopic findings are indeterminate.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".