Long-Term Effectiveness of Guselkumab vs. Other Biologic Therapies Among Plaque Psoriasis Patients in the CorEvitas Psoriasis Registry
Bibliographic record
Abstract
Introduction: The efficacy and real-world treatment persistence of guselkumab (GUS) has been shown to be superior to other advanced treatment options [1,2] for psoriasis (PsO); however, long-term real-world effectiveness vs. other biologic therapies warrants further study. Therefore, this study compared the real-world effectiveness of GUS with adalimumab (ADA), ixekizumab (IXE), secukinumab (SEC), and ustekinumab (UST) in PsO patients through 30 months of follow-up. Methods: An active comparator, new-user design was used to compare initiators of GUS to each comparator separately among adult patients with plaque PsO, an Investigator’s Global Assessment (IGA) score ≥2, and at least 30 months of follow-up prior to the data cutoff (June 2024) enrolled in the CorEvitas Psoriasis Registry in the US and Canada. Stabilized standardized mortality ratio (SMR) weights were used to balance baseline characteristics between GUS and each comparator. The primary outcome was achievement of IGA 0/1 at 30 months. Dermatology Life Quality Index (DLQI) 0/1 was assessed as a secondary outcome. Absolute differences were reported after incorporating the SMR weights. For all comparisons, P<0.05 was considered statistically significant and Bonferroni-Holm adjustments were made for multiple testing. Results: After balancing on baseline characteristics, significantly greater proportions of GUS initiators achieved IGA 0/1 vs. those in each comparator group (GUS 50.7% (n=428) vs. ADA 24.0% (n=309): difference=26.7%, 95% CI: 13.6-39.7; p<0.001; GUS 43.4% (n=587) vs. IXE 33.6% (n=580): difference=9.9%, 95% CI: 2.6-17.1; p=0.005; GUS 45.8% (n=546) vs. SEC 29.9% (n=614): difference=15.9%, 95% CI: 6.8-25.0; p<0.001; GUS 45.9% (n=466) vs. UST 36.2% (n=224): difference=9.7%, 95% CI: 0.6-18.7; p=0.036). Similarly, greater proportions of GUS initiators achieved DLQI 0/1 vs. the comparators. Conclusion: Our findings suggest that GUS was superior to ADA, IXE, SEC, and UST in achieving both IGA 0/1 and DLQI 0/1 at 30 months. This is among the largest and longest real-world comparative effectiveness studies of GUS vs. ADA, IXE, SEC, and UST in PsO patients. Additional studies with longer follow-up and inclusion of emerging therapies could provide further data to inform clinical treatment considerations.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".