Tildrakizumab efficacy and impact on quality of life up to 52 weeks in patients with moderate‐to‐severe psoriasis: a pooled analysis of two randomized controlled trials
Bibliographic record
Abstract
BACKGROUND: Two randomized controlled trials (reSURFACE 1 and 2) have demonstrated the effectiveness of tildrakizumab, a high-affinity, humanized, IgG1κ, anti-interleukin-23 monoclonal antibody, for treating moderate-to-severe plaque psoriasis in the first 28 weeks. OBJECTIVES: To examine the efficacy of tildrakizumab and its impact on quality of life (QoL) in patients with different levels of week-28 Psoriasis Area and Severity Index (PASI) improvement. METHODS: Patients treated with tildrakizumab 100 mg or 200 mg from baseline to week 28 were pooled from reSURFACE 1 and reSURFACE 2 and classified into five mutually exclusive week-28 PASI improvement groups for each dose: PASI 0-49, 50-74, 75-89, 90-99 and 100. Mean PASI improvement and Dermatology Life Quality Index (DLQI) 0/1 over time were examined for each group. RESULTS: Of 1156 patients, 575 were in the 100-mg and 578 in the 200-mg cohorts, respectively. At week 28, 8.3%, 14.3%, 23.8%, 30.4% and 23.1% in the 100-mg and 4.0%, 18.1%, 19.6%, 29.1% and 29.3% in the 200-mg cohort achieved PASI < 50, 50-74, 75-89, 90-99 and 100, respectively. Patients with PASI < 50 at week 28 could be identified as early as week 8, and those with week-28 PASI ≥ 90 had approximately 50% PASI improvement by week 4. Among patients achieving PASI > 50 at week 28 who continued the same dose of tildrakizumab to week 52, mean PASI improvement was maintained or improved over time. Similar results were observed for both doses. Higher proportions of patients achieved DLQI 0/1 in higher week-28 PASI groups, and DLQI 0/1 was maintained or improved to week 52. However, not all patients with PASI 100 had DLQI 0/1. CONCLUSION: Patients unlikely to respond to tildrakizumab could be identified by week 8, and those likely to achieve a PASI ≥ 90 response could be identified as early as week 4. Week-28 PASI improvement level correlated with QoL improvement.
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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 | 0.015 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.025 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".