Sustained Resolution of Nail Psoriasis Through 5 Years with Ixekizumab: A Post-Hoc analysis from UNCOVER-3
Bibliographic record
Abstract
Nail psoriasis is a chronic, difficult-to-treat condition affecting almost half of patients with psoriasis. It is associated with considerable social stigma and impairment of patients' quality of life. The aim of this study was to assess improvements in objective measures of nail psoriasis among patients from the long-term extension of the UNCOVER-3 study who received the interleukin-17A inhibitor ixekizumab and had either any degree of nail psoriasis (Nail Psoriasis Severity Index (NAPSI) >=1) or significant nail psoriasis (fingernail NAPSI ≥ 16 and ≥ 4 fingernails involved) at baseline. Efficacy outcomes reported through week 264 included the mean percentage improvements from baseline in NAPSI score and the proportion of patients achieving nail psoriasis resolution (NAPSI=0). In UNCOVER-3, 56.9% (219/385) of patients had nail psoriasis at baseline; of those, 61.2% (134/219) had significant nail psoriasis. At week 60, a total of 66.9% and 59.1% of patients with baseline nail psoriasis and significant baseline nail psoriasis, respectively, reported complete clearance of nail psoriasis, an effect which was sustained through week 264. This analysis demonstrates that continuous treatment with ixekizumab in adult patients with moderate-to-severe-psoriasis through 264 weeks was associated with improvements and clearance of fingernail psoriasis, irrespective of the severity of nail psoriasis at baseline.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".