Efficacy and safety of certolizumab pegol therapy for 26 weeks in an unselected Crohn's disease population: Results of the FACTS II survey
Bibliographic record
Abstract
Background and Aims: Certolizumab pegol (Cimzia CZP) was approved for the treatment of Crohn's disease (CD) patients in 2007 in Switzerland as first country worldwide. This prospective phase IV study aimed to evaluate the efficacy and safety of CZP over 26 weeks in a multicenter cohort of practice-based patients. Methods: Evaluation questionnaires at baseline, week 6 and 26 were completed by gastroenterologists in hospitals and private practices. Adverse events were evaluated according to WHO guidelines. Results: Sixty patients (38F/22M) were included, 53% had complicated disease (stricturing or penetrating), 45% had undergone prior CD related surgery. All patients had prior exposure to systemic steroids, 96% to immunomodulators, 73% to infliximab, and 43% to adalimumab. A significant decrease of Harvey Bradshaw Index (HBI) was observed under CZP therapy (12.2±4.9at week 0 vs. 6.3±4.7at week 6 and 6.7±5.3at week 26, both P <0.001). Response and remission rates were 70% and 40% (week 6) and 67% and 36% respectively (week 26). The complete perianal fistula closure rate was 36% at week 6 and 55% at week 26. The frequency of adverse drug reactions attributed to CZP was 5%. CZP was continued in 88% of patients beyond week 6 and in 67% beyond week 26. Conclusions: In a population of CD patients with predominantly complicated disease behaviour, CZP proved to be effective in induction and maintenance of response and remission. This series provides the first evidence of effectiveness of CZP in perianal fistulizing CD in clinical practice. CZP was well tolerated with a low frequency of adverse drug reactions.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".