Real-World Effectiveness of Tildrakizumab for Moderate-to-Severe Plaque Psoriasis in Canada
Bibliographic record
Abstract
BACKGROUND: Tildrakizumab is an interleukin-23 inhibitor approved in Canada in 2021 for the treatment of adults with moderate-to-severe plaque psoriasis. OBJECTIVES: To evaluate real-world effectiveness of tildrakizumab for the treatment of moderate-to-severe plaque psoriasis in Canada. METHODS: A multicenter, retrospective study was conducted in Canada in adults with moderate-to-severe plaque psoriasis for ≥1 year treated with tildrakizumab for ≥12 weeks. Effectiveness was evaluated from proportions of patients achieving ≥75%/≥90%/100% improvement from baseline in Psoriasis Area and Severity Index (PASI 75/90/100 response) and Physician Global Assessment (PGA) 0 or 1 at weeks 16 (±4), 24 (±8), and 48 (±12). Subgroup analyses were performed based on prior biologic use and special site involvement. RESULTS: The study included 75 patients (mean age, 50.5 years; 52.0% female; 82.7% bio-naïve; 73.3% with special site involvement). Absolute mean (standard deviation) PASI score improved from 16.1 (6.7) at baseline to 1.3 (1.7) at the week 48 (91.7% improvement), 95.7%/69.6%/34.8% of patients achieved PASI 75/90/100 response, and 93.0% achieved PGA 0/1 at the week 48. In subgroup analyses, 94.7%/71.1%/34.2% of bio-naïve patients, 100.0%/62.5%/37.5% of bio-experienced patients, 100.0%/71.4%/28.6% of patients with special site involvement, and 81.8%/63.6%/54.6% of patients without special site involvement achieved PASI 75/90/100 response, and 87.5%, 94.3%, 97.0%, and 80.0% of patients, respectively, achieved PGA 0/1 at the week 48. None of the differences among subgroups were statistically significant; however, patient numbers were too small to support robust conclusions. CONCLUSIONS: Tildrakizumab is effective for the treatment of moderate-to-severe plaque psoriasis in adults in a real-world setting in Canada.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".