Safety results from a pooled analysis of randomized, controlled phase II and III clinical trials and interim data from an open‐label extension trial of the interleukin‐12/23 monoclonal antibody, briakinumab, in moderate to severe psoriasis
Bibliographic record
Abstract
BACKGROUND: Anti-interleukin-12/23 treatment (anti-IL-12/23) has recently demonstrated significant efficacy for moderate to severe psoriasis, yet potential safety signals warrant further investigation. OBJECTIVES: Expand safety findings for the anti-IL-12/23, briakinumab, beyond individual phase II and III clinical trials. METHODS: Safety data pooled from five phase II and III clinical trials (parent studies) and an open-label extension study (OLE), through 22 October 2010; patients with ≥ 1 dose of briakinumab in a parent study or the OLE are included. All parent study briakinumab treatment groups were combined with the OLE population, which received 100-mg briakinumab every 4 weeks. Adverse events (AEs) were collected from the first dose of briakinumab, whether in a parent study or the OLE, through 45 days post-last dose. RESULTS: Two thousand five hundred and twenty patients (4704 patient-years drug exposure) received ≥ 1 dose of briakinumab during the interim period: 5.6% withdrew due to AEs. Serious infections occurred in 1.3% and malignancies in 2.6% (including 1.0% basal cell carcinoma, 0.8% squamous cell carcinoma). Twenty-seven major adverse cardiovascular events (MACE) occurred, seven in one parent study and 20 in the OLE (incidence = 0.57 events/100 PY). Four cardiovascular risk factors were retrospectively found to be significant predictors for MACE during briakinumab exposure: history of cardiovascular disease, diabetes, body mass index (≥ 30) and baseline blood pressure (systolic ≥ 140 or diastolic ≥ 90). CONCLUSIONS: Pooled briakinumab safety results from five parent studies and an OLE suggest increased rates of infections, malignancies and MACE, and that patients receiving anti-IL-12/23 treatment for moderate to severe psoriasis should be monitored for these potential safety signals.
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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 | 0.012 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".