Long-Term Benefit of Mesalamine Granules for Patients Who Achieved Corticosteroid-Induced Ulcerative Colitis Remission
Bibliographic record
Abstract
BACKGROUND: Patients with ulcerative colitis (UC) who achieve remission with corticosteroids often relapse after tapering or discontinuation; alternative treatments limiting steroid exposure and UC relapse would be beneficial. It remains uncertain whether patients with corticosteroid-induced remission experience benefit with mesalamine granules (MG), a locally acting aminosalicylate extended-release capsule formulation for maintenance of UC remission in adults. AIMS: Efficacy and safety of MG 1.5 g once daily was evaluated in patients with UC in corticosteroid-induced remission. METHODS: Data from patients with previous corticosteroid use to achieve baseline UC remission were analyzed from two 6-month randomized, double-blind, placebo-controlled trials and a 24-month open-label extension (OLE). Six-month relapse-free rates were assessed using the revised Sutherland Disease Activity Index. UC-related adverse events (AEs) were recorded during the 30 months. RESULTS: Included were 158 steroid-treated patients in UC remission (MG, n = 105; placebo, n = 53) and 74/105 MG-treated patients who continued MG in the OLE. A significantly larger percentage of patients remained relapse-free at 6 months with MG (77.1 %) versus placebo (54.7 %; P = 0.006), with a 55 % reduction in relapse risk (hazard ratio [HR] 0.45; 95 % CI 0.25-0.79). There was a similar (49.2 %) reduction in risk of UC-related AEs at 6 months (HR 0.51; 95 % CI 0.31-0.84; P = 0.009) that was sustained during the OLE. CONCLUSIONS: MG 1.5 g once daily administered for maintenance of corticosteroid-induced remission was associated with low risk of relapse and UC-related AEs. CLINICALTRIALS.GOV: NCT00744016, NCT00767728, and NCT00326209.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".