Collagenous Colitis as the Presenting Feature of Biopsy-Defined Celiac Disease
Bibliographic record
Abstract
BACKGROUND: Prior case reports have linked celiac disease with collagenous colitis, but serological and retrospective pathologic survey studies of small intestinal biopsies have produced conflicting results. METHODS: In this report, consecutive patients with chronic diarrhea and the initial finding of collagenous colitis were evaluated to determine if occult celiac disease was also present. All 36 patients with no exclusions were offered upper endoscopy and biopsies. If the changes of untreated celiac disease were detected in the small intestinal biopsies, then a gluten-free diet was instituted. Diet response was based on resolution of diarrhea and normalization of repeated small intestinal biopsies. RESULTS: Eight patients, or over 20%, had severely abnormal small bowel biopsy changes characteristic of untreated celiac disease. In some, lymphocytic or collagenous gastritis were also detected with or without celiac disease. All 8 patients were treated with a gluten-free diet alone and, in all, diarrhea improved and small intestinal biopsies normalized. In 5, however, repeated colonic biopsies showed persistent collagen deposits. Autoimmune thyroid disease or neoplastic diseases, like lymphoma known to be associated with celiac disease were also noted in this cohort with collagenous colitis, often in the absence of celiac disease. CONCLUSIONS: This study indicates that collagenous colitis may be the presenting clinical and pathologic feature of celiac disease. Diagnosis of collagenous colitis should lead the clinician to consider exclusion of underlying occult celiac disease.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".