Long-term safety and efficacy of adalimumab for intestinal Behçet's disease in the open label study following a phase 3 clinical trial
Bibliographic record
Abstract
BACKGROUND/AIMS: Intestinal Behçet's disease (BD) is an immune-mediated inflammatory disorder. We followed up the patients and evaluated safety profile and effectiveness of adalimumab for the treatment of intestinal BD through 100 weeks rolled over from the 52 week clinical trial (NCT01243671). METHODS: Patients initiated adalimumab therapy at 160 mg at week 0, followed by 80 mg at week 2, followed by 40 mg every other week until the end of the study. Long-term safety and all adverse events (AEs) were examined. The efficacy was assessed on the basis of marked improvement (MI) and complete remission (CR) using a composite efficacy index, which combined global gastrointestinal symptoms and endoscopic assessments. RESULTS: Twenty patients were enrolled in this study; 15 patients received adalimumab treatment until study completion. The incidence of AEs through week 100 was 544.4 events/100 person-years, which was comparable to the incidence through week 52 (560.4 events/100 person-years). No unexpected trend was observed and adalimumab was well tolerated. At weeks 52 and 100, 60.0% and 40.0% of patients showed MI, respectively, and 20.0% and 15.0% of patients showed CR, respectively. CONCLUSIONS: This report demonstrates 2 years safety and effectiveness of adalimumab in intestinal BD patients. Patients with intestinal BD refractory to conventional treatment receiving up to 2 years of adalimumab treatment demonstrated safety outcomes consistent with the known profile of adalimumab, and the treatment led to sustained reduction of clinical and endoscopic disease activity.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| 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".