Interleukin-17 Antagonists in the Treatment of Psoriasis
Bibliographic record
Abstract
BACKGROUND: Psoriasis is a chronic, immune-mediated inflammatory skin disorder of unknown etiology. Interleukin (IL)-17a, a key product of the recently identified Th17 cell subset, has been found to play a critical role in the immunopathogenesis of psoriasis. IL-17 antagonists are a new class of biological agent currently in development for psoriasis that selectively inhibit IL-17a activity. OBJECTIVE: This review aims to summarize the current efficacy data from phase II randomized controlled trials of the IL-17 antagonists brodalumab, ixekizumab, and secukinumab for the treatment of moderate to severe psoriasis. CONCLUSION: Patients treated with IL-17 antagonists achieved marked reduction in psoriasis disease severity as demonstrated by the Psoriasis Area and Severity Index (PASI) 75 response rates. A sizable proportion of patients treated with brodalumab and ixekizumab achieved unprecedented clinical clearance of their psoriasis (PASI > 90). These encouraging results demonstrate the efficacy of these agents and validate the pro-inflammatory role of IL-17 in the pathophysiology of psoriasis.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.003 | 0.002 |
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".