Review article: treatment algorithms to maximize remission and minimize corticosteroid dependence in patients with inflammatory bowel disease
Bibliographic record
Abstract
BACKGROUND: Crohn's disease (CD) and ulcerative colitis (UC) are chronic inflammatory diseases of the intestine, which frequently require surgery for complications or failure of medical therapy. AIM: To seek evidence and provide direction for clinicians on optimal strategies to enable steroid free remission in inflammatory bowel disease. METHODS: Scientific literature was reviewed using MEDLINIE with a specific focus on medical therapies for inducing and maintaining remission of CD and UC. The results were discussed at a roundtable meeting to reach a consensus on key issues. RESULTS: Several therapies have demonstrated efficacy for the treatment of active, moderate-to-severe CD and UC. These include agents, which induce remission [corticosteroids, infliximab and adalimumab (CD only)] or maintain remission and spare corticosteroids [azathioprine, mercaptopurine, methotrexate (CD only), infliximab and adalimumab (CD only)]. Wide variability exists in the use of these agents. CONCLUSION: Treatment strategy algorithms are developed for use of these therapies that maximize remission and minimize corticosteroid dependence in patients with moderate-to-severe CD and UC.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".