Clinical and histological predictors of response to medical therapy in collagenous colitis
Bibliographic record
Abstract
OBJECTIVES: Collagenous colitis (CC) is an uncommon form of inflammatory bowel disease. The response to typical medical therapies (antimotility agents, 5-aminosalicylic acid [5-ASA], and corticosteroids) is variable. We aimed to determine if there are clinical or histological variables that can predict response to medical therapy. METHODS: All cases of CC were identified in three tertiary care medical centers. All charts of included patients were reviewed and clinical variables (age, gender, duration of symptoms, frequency of bowel movements, and the use of nonsteroidal anti-inflammatory drugs [NSAIDs]) were recorded. Available histology slides were reviewed by one GI pathologist. Intraepithelial inflammation, epithelial loss or detachment, inflammation in the lamina propria, presence of eosinophilia, crypt inflammation, Paneth's cell metaplasia, and collagen layer thickness were recorded. Depending on their response to therapy, patients were divided into three groups: 1) spontaneous recovery or response to antidiarrheal agents alone, 2) response to 5-ASA agents, and 3) response to corticosteroids after failure of antidiarrheal agents and 5-ASA. RESULTS: Ninety-four patients with CC were identified. Of these, 62 patients were included. The median age was 58 (range = 20-85), and 88% were female. Among the histological parameters only the degree of inflammation in the lamina propria significantly differed between the three response groups (p = 0.007). Patients who required corticosteroids had greater inflammation. Among the clinical parameters age at presentation and use of NSAIDs significantly differed between groups. In the antidiarrheal group, patients tended to be more elderly, and in the corticosteroid group, more patients were on NSAIDs. CONCLUSIONS: 1) The degree of lamina propria inflammation can be used as a histological predictor to guide treatment in patients with CC. 2) Patients who responded to antidiarrheal agents or had spontaneous remissions were significantly older than those patients requiring 5-ASA compounds or corticosteroids. 3) Patients who were taking NSAIDs were more likely to require corticosteroid therapy, presumably reflecting more severe 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".