Developments in the treatment of moderate to severe ulcerative colitis: focus on adalimumab
Bibliographic record
Abstract
Hugh J FreemanDepartment of Medicine (Gastroenterology), University of British Columbia, Vancouver, BC, Canada Abstract: In selected patients with moderate to severe active ulcerative colitis who have failed to respond or are poorly responsive to standard pharmacologic forms of treatment with corticosteroids and immunosuppressive agents, therapy with a biological agent may be considered. While infliximab is an established tumor necrosis factor blocker and has a longer history of clinical use, adalimumab is an alternative in the same class and may be employed as an initial biological agent, if indicated for treatment of the disease. Adalimumab may have special appeal to stable users able to self-inject in a home setting rather than a centralized infusion center. Short-term adverse effects have been limited, but long-term adverse events can be serious and remain less well defined. Recently, another agent, subcutaneous golimumab, has also been reported to induce and maintain clinical response and remission in clinical trials, but a large experience has not been accumulated to date in clinical practice. In the future, other biological agents with novel and distinct mechanisms of therapeutic action may become available. Keywords: ulcerative colitis, anti-tumor necrosis factor inhibitors, biological therapy, infliximab, adalimumab
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".