Combination Therapy With Adalimumab Plus Intensive Granulocyte and Monocyte Adsorptive Apheresis in Patients With Refractory Ulcerative Colitis
Bibliographic record
Abstract
BACKGROUND: The efficacy and safety of combination therapy with adalimumab (ADA) plus intensive granulocyte and monocyte adsorptive apheresis (GMA) (two sessions per week) for the treatment of refractory ulcerative colitis (UC) have not been previously evaluated. METHODS: This retrospective study evaluated the 10-week efficacy of combination therapy with ADA plus intensive GMA on refractory UC patients, on clinical outcomes over 52 weeks under subsequent maintenance monotherapy of ADA, and the effect of combined azathioprine (AZA) with ADA at failure to achieve clinical remission at 10 weeks and at flare-up by 52 weeks. Ten patients were given initial combination therapy of ADA (160/80/40 mg every other week) plus intensive GMA. One patient received total colectomy because of poor response. RESULTS: Of nine patients who received this combination therapy, 55.6% displayed cumulative clinical remission at 10 weeks and 33.3% displayed such remission at 52 weeks under subsequent maintenance monotherapy of ADA. The percentage of patients with mucosal healing at 10 weeks (endoscopy subscore ≤ 1) was 66.7%. Adverse events were observed in three patients (pneumonia, cerebral infarction and headache). CONCLUSION: It was concluded that combination therapy with ADA plus intensive GMA is useful for induction of clinical remission in refractory UC patients, and is well tolerated.
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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 | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".