Update on the role of upadacitinib in the treatment of adults with moderately to severely active ulcerative colitis
Bibliographic record
Abstract
With further knowledge of the pathogenesis of inflammatory bowel disease, small oral molecules have become available, including the Janus kinase (JAK) inhibitors. Upadacitinib (UPA) is a selective JAK1 inhibitor and has become the newest drug in this class, with recent approval for the management of moderate-to-severe ulcerative colitis. The large phase III program (including the U-ACHIEVE and U-ACCOMPLISH parallel induction trials and the U-ACHIEVE Maintenance trial) demonstrated superiority over placebo, for all primary and secondary endpoints including key clinical, endoscopic, and histological outcomes utilizing 45 mg orally (po) once daily (OD) during induction and either 30 mg or 15 mg po OD in maintenance. From a safety perspective, UPA has proven to be a safe and well-tolerated medication across immune-mediated diseases with manageable adverse risks such as an increase in herpes zoster. Proper discussion and patient profiling are essential when positioning UPA, considering efficacy and potential risks associated with this highly effective medication.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".