Efficacy of Secukinumab in the Treatment of Moderate to Severe Plaque Psoriasis in the North American Subgroup of Patients: Pooled Analysis of Four Phase 3 Studies
Bibliographic record
Abstract
INTRODUCTION: Demographic and disease characteristics may impact response to psoriasis therapies. The objective of this study is to explore the safety and efficacy profile of secukinumab in North American (NA) versus non-NA patients with moderate to severe psoriasis. METHODS: Data were pooled from four phase 3 studies of secukinumab. Secukinumab (300 and 150 mg) was administered at baseline, weeks 1, 2, and 3, then every 4 weeks from week 4 to 48. RESULTS: Peak efficacy was observed at week 16 in NA and non-NA patients with secukinumab 300 mg and secukinumab 150 mg, and disease clearance was maintained to week 52. At week 52 with secukinumab 300 mg, Psoriasis Area and Severity Index (PASI) 90/100 response was achieved by 62.9%/37.9% of NA patients, respectively, and 70.2%/42.0% of non-NA patients, respectively. At week 52 with secukinumab 150 mg, PASI 90/100 response was achieved by 30.9%/17.5% of NA patients, respectively, and 53.9%/26.9% of non-NA patients, respectively. Response to secukinumab was rapid, and 50% reduction in mean PASI was achieved in both groups after 2.9 weeks with secukinumab 300 mg and 3.7 weeks with secukinumab 150 mg. CONCLUSION: Despite differences in baseline characteristics, the efficacy and safety of secukinumab were similar among NA and non-NA patients. FUNDING: Novartis Pharma AG. Plain language summary available for this article.
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 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 | 0.020 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.012 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".