Certolizumab Pegol Treatment in Patients With Crohn’s Disease: Final Safety Data From the SECURE Registry
Bibliographic record
Abstract
Background: Crohn's disease (CD) treatment is associated with increased risks of infection and malignancies. Although the safety of certolizumab pegol (CZP) is well established, long-term data from community-based observational studies are lacking. Aim: This study aimed to evaluate long-term safety outcomes of patients from the SECURE registry receiving CZP relative to other CD treatments, including corticosteroids, immunosuppressants, and biologics. The primary outcome of this observational study was the evaluation of malignancies. Methods: Adult patients with CD were prospectively monitored for up to 8 years. Pre-specified data were collected for all enrolled patients. Adverse events of interest (AEoIs) were reported per 100 patient-years (PY) of exposure. Incidence rate ratios (IRRs) were calculated for AEoIs using multivariate regression analysis accounting for exposure to multiple treatments. Malignancies reported after any exposure to CZP were attributed to CZP. Post-hoc analyses were conducted to evaluate non-melanoma skin cancer (NMSC), lymphoma, and pregnancy outcomes. Results: A total of 3072 patients were enrolled in the study. The risk of AEoIs was similar between patients with only CZP exposure versus comparator exposure. Among patients with any CZP exposure, there was a higher frequency of serious infections (IRR: 2.56 [95% confidence interval (CI): 2.00, 3.29]) and hypersensitivity or anaphylactic reactions (IRR: 4.11 [95% CI: 1.80, 9.38]) versus patients with comparator exposure. Malignancy rates were similar across groups; however, concomitant use of thiopurines was associated with higher odds of NMSC (odds ratio: 2.30 [95% CI: 1.09, 4.89]). Most cases of lymphoma (5/7) occurred in patients with exposure to thiopurines. Pregnancy outcomes were similar across groups. Conclusions: No new safety signals were identified for CZP; the use of thiopurines was identified as a risk factor for NMSC. Trial registration: NCT00844285.
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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 | 0.008 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".