Efficacy, Safety, and Patient-Reported Outcomes in Patients with Moderate-to-Severe Plaque Psoriasis Treated with Brodalumab for 5 Years in a Long-Term, Open-Label, Phase II Study
Bibliographic record
Abstract
BACKGROUND: Chronic inflammatory diseases such as psoriasis require treatment options that maintain efficacy and tolerability during extended treatment. OBJECTIVE: The aim of the study was to assess the long-term efficacy and safety of brodalumab, a fully human anti-interleukin-17 receptor A monoclonal antibody, in patients with moderate-to-severe plaque psoriasis. METHODS: Patients who completed a 12-week, phase II, dose-ranging clinical trial received brodalumab 210 mg every 2 weeks in an open-label extension study. Efficacy was assessed by static physician's global assessment (sPGA) and psoriasis area and severity index (PASI). Quality of life, assessed by dermatology life quality index (DLQI), and safety were also evaluated. RESULTS: Overall, 181 patients received brodalumab for a median of 264 weeks. Brodalumab treatment resulted in rapid improvements in sPGA, PASI, and DLQI that were maintained through week 264. Achieving PASI 90 to < 100 or PASI 100 at weeks 12, 240, and 264 was associated with greater likelihood for DLQI 0 or 1 compared with achieving PASI 75 to < 90. Over 5 years, one adverse event of suicidal ideation was reported, no suicides occurred, and no new safety signals emerged. CONCLUSIONS: Brodalumab demonstrated skin clearance and improved quality of life, with an acceptable safety profile, throughout 5 years of treatment. CLINICALTRIALS. GOV IDENTIFIER: NCT01101100.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".