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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".