Efficacy and safety of continuous every-2-week dosing of ixekizumab over 52 weeks in patients with moderate-to-severe plaque psoriasis in a randomized phase III trial (IXORA-P)
Bibliographic record
Abstract
BACKGROUND: Ixekizumab is an interleukin-17A antagonist approved for treatment of moderate-to-severe plaque psoriasis with a recommended 160-mg starting dose, then 80 mg every 2 weeks (Q2W) to week 12, and every 4 weeks (Q4W) thereafter. OBJECTIVE: To evaluate continuous Q2W dosing over 52 weeks. METHODS: In this phase III, multicentre, double-blinded, parallel-group trial, three ixekizumab dosing regimens were assessed for efficacy and safety at week 52 in patients with moderate-to-severe plaque psoriasis randomized at a 2 : 1 : 1 ratio to continuous Q2W (n = 611), continuous Q4W (n = 310) or dose adjustment per protocol (Q4W/Q2W, n = 306), each with a 160-mg starting dose. Dose adjustment was determined by predefined criteria to which investigators were blinded; 72 (23?5%) patients in the Q4W/Q2W group adjusted dose. Efficacy outcomes were evaluated using logistic regression. RESULTS: Co-primary end points were met at week 52: Psoriasis Area and Severity Index 75 responses for Q2W and Q4W dose groups were 85·9% and 79·0%, respectively (P = 0·006), and static patient global assessment 0/1 responses for Q2W and Q4W dose groups were 78·6% and 70·6%, respectively (P = 0·005). Treatment-emergent and serious adverse events were comparable across dose groups. CONCLUSIONS: Ixekizumab Q2W had higher efficacy at week 52 than ixekizumab Q4W, with no increase in safety events.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".