Interventions for Treating Collagenous Colitis: A Cochrane Inflammatory Bowel Disease Group Systematic Review of Randomized Trials
Bibliographic record
Abstract
OBJECTIVES: To conduct a systematic review to determine effective treatments for patients with clinically active collagenous colitis. METHODS: Relevant articles were identified via the MEDLINE, PUBMED, and Cochrane Collaboration databases, manual searches of the references of identified articles, and review articles on collagenous or microscopic colitis, as well as searches of abstracts from major gastroenterological meetings. RESULTS: Five randomized trials assessing treatments for collagenous colitis were identified. One trial studying bismuth subsalicylate (nine 262 mg tablets daily for 8 wk) included 9 patients. Patients who received the bismuth preparation were more likely to have clinical (p= 0.003) and histological (p= 0.003) improvement than those who received placebo. In a trial comparing prednisolone (50 mg daily for 2 wk) to a placebo in 11 patients, a trend toward clinical response in patients on prednisone was reported (p= 0.064). The effect of prednisolone on histological improvement was not studied. A total of 94 patients were enrolled in three trials studying budesonide (9 mg daily or in a tapering schedule for 6-8 wk). The pooled odds ratio for clinical response to treatment with budesonide was 12.32 (95% CI: 5.53-27.46). The NNT (number of patients needed to treat with budesonide to achieve 1 improved patient) was 2 patients. This therapy was well tolerated. There was significant histological improvement with treatment in all three trials studying budesonide therapy. CONCLUSIONS: There is strong evidence that budesonide is effective and well tolerated for the treatment of collagenous colitis. The evidence for benefit with bismuth subsalicylate or prednisolone is weaker. It is not clear that any of these agents produce actual remission, as opposed to clinical and histological improvement of the disease.
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Systematic review | low |
| gpt | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Systematic review | high |
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 | 0.024 | 0.066 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.020 | 0.013 |
| Bibliometrics | 0.016 | 0.011 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".