Drug Survival of Biologics for Psoriasis in Canada: Real-World Patterns and Implications
Bibliographic record
Abstract
Biologic therapies have transformed psoriasis management, and real-world data are essential for understanding long-term treatment success. Drug survival—how long patients remain on biologics—varies across drug classes and is generally higher in biologic-naïve patients. Canadian studies demonstrate that biologics from the interleukin (IL)-12/23, IL-17 and IL-23 classes exhibit longer persistence rates. However, drug survival alone is not a comprehensive measure of efficacy, because it may not account for dose modifications or interval adjustments that frequently occur in clinical practice. As drug survival reflects the duration of time on a single therapy, it may not adequately capture the rate at which patients switch between biologic treatments. The switch rate captures how often patients change biologics within classes or to a different class, reflecting treatment modification due to inefficacy or side effects. Although Canadian data on biologic switch rates are limited, U.S. findings show that IL-23 inhibitors have the lowest rates. Collectively, the evaluation of drug survival, therapeutic modifications, and switch rates in real-world settings offers a comprehensive framework to inform dermatological clinical practice in Canada.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".