Ustekinumab and Marked Clinical Responses in Patients with Moderate to Severe Psoriasis
Bibliographic record
Abstract
Background Ustekinumab has demonstrated significant efficacy and favorable safety in patients with moderate to severe psoriasis. Objective Characterization of patients achieving marked clinical responses (Psoriasis Area and Severity Index [PASI] 90 or Physician's Global Assessment [PGA] of cleared) in two double-blind, placebo-controlled, phase III studies. Methods PHOENIX 1 (n=766) and PHOENIX 2 (n=1,230) patients were randomized to receive placebo or ustekinumab 45 or 90 mg at weeks 0 and 4, then every 12 weeks. At week 12, placebo patients crossed over to ustekinumab. Marked responses, defined as PASI 90 or PGA of cleared, are reported. Results A significantly higher proportion of ustekinumab-treated patients in PHOENIX 1 (39.9%) and PHOENIX 2 (47.0%) achieved marked responses at week 12, compared with placebo-treated patients (p<0.001 each). At week 28, approximately 50% of ustekinumab-treated patients achieved marked responses. Conclusion Significant proportions of ustekinumab-treated patients with moderate to severe psoriasis achieved marked clinical responses through week 28. Ustekinumab had a favorable risk-benefit profile through up to 18 months of follow-up.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".