Optimizing clinical use of mesalazine (5-aminosalicylic acid) in inflammatory bowel disease
Bibliographic record
Abstract
Mesalazine [5-aminosalicylic acid (5-ASA)] has been used for over 30 years in the treatment of inflammatory bowel disease (IBD). It is a highly effective, safe, and well-tolerated drug for treatment of mild to moderate ulcerative colitis, which represents most patients with this disease. Recent studies of patient adherence to 5-ASA therapies in ulcerative colitis have highlighted the need for regimens that enable long-term compliance to significantly reduce the risk of troublesome and debilitating flares in the short term, and possibly colon cancer in the long term. Indeed, much of the recent innovation in clinical use of 5-ASA in colitis has come from studies of novel delivery mechanisms and simplified oral dosing schedules. These studies have provided much needed clarity on essential matters such as starting dose, dose escalation, and efficacy in terms of the ideal clinical endpoint - mucosal healing. Various manufacturers are re-evaluating their products to determine the safety and efficacy of such dosing regimens. Although once widely employed in the treatment of Crohn's disease (CD), the accumulated body of evidence now suggests that there is a much more limited role for 5-ASA in this particular form of inflammatory bowel disease. Recent 5-ASA randomized-controlled trials, comparative studies, and outcomes research have led to refined treatment strategies and awareness for practitioners to better inform, engage and facilitate patients in optimal use of 5-ASA in inflammatory bowel 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
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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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, 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".