Induction Therapy With a Combination of Weekly Adalimumab Plus Intensive Granulocyte and Monocyte Adsorptive Apheresis in Patients With Ulcerative Colitis and Failure of Conventional Agents, Biologics and Janus Kinase Inhibitor
Bibliographic record
Abstract
Every-week (ew) adalimumab (ADA) maintenance following induction therapy with a standard induction regimen has recently been approved for use in Japan. The efficacy and safety of combination therapy with ew-ADA maintenance following standard induction regimen plus intensive granulocyte and monocyte adsorptive apheresis (GMA) (two sessions/week) for the treatment of refractory ulcerative colitis (UC) displaying failure of conventional, biologics and Janus kinase inhibitor have not been evaluated previously. The present retrospective study evaluated the 10-week efficacy of this combination therapy among refractory UC patients. Six patients were given initial ADA combination therapy (ADA at 160 mg in week 0, ADA 80 mg in week 2, and 40 mg in week 4, followed by ew-ADA at 40 mg/week) plus intensive GMA. One patient (16.6%) achieved clinical remission and two patients (33.3%) achieved endoscopic improvement by week 10. After excluding two patients who discontinued treatment, mean full Mayo score (P = 0.14), endoscopic subscore (P = 0.18) and C-reactive protein level (P = 0.27) at 10 weeks were numerically decreased compared with baseline in the remaining four cases, although the differences were not significant. Use of ew-ADA maintenance following standard induction regimen plus intensive GMA appears unlikely to achieve satisfactory induction of clinical remission in UC patients for whom conventional agents, biologics and Janus kinase inhibitors have failed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| 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 | 0.001 |
| 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 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".