State-of-the-Art Medical Therapy of the Adult Patient with IBD: The Immunomodulators
Bibliographic record
Abstract
AZA/6-MP are the most well-studied immunomodulators effective at reducing steroid use, inducing and maintaining remission in CD and UC. TPMT phenotype (genotype if phenotype not available) should be checked in all patients before initiating therapy with AZA or 6-MP, to avoid profound bone marrow toxicity and to facilitate more complete dosing earlier. Methotrexate is an effective alternative to AZA/6-MP in Crohn’s disease and possibly in UC if given parenterally at doses >15 mg/week. Cycosporine A is effective at inducing remission in severe UC, and may lead to a reduced rate of colectomy if used as a bridge to long-term AZA or 6-MP therapy. Tacrolimus, mycophenolate mofetil, and thalidomide may have a role as third line immunomodulators in complicated or fistulizing CD. 6-Thioguanine should not be used as a therapy for active IBD due to frequent hepatotoxicity and occurrence of nodular regenerative hyperplasia.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.016 |
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".