Real-World Effectiveness of Guselkumab in Patients With Psoriasis: Data From the Psoriasis Longitudinal Assessment and Registry (PSOLAR)
Bibliographic record
Abstract
Introduction The Psoriasis Longitudinal Assessment and Registry (PSOLAR; NCT00508547) is a large, international, prospective, longitudinal, disease-based registry that enrolled patients with psoriasis (PsO) who were receiving, or were candidates for, systemic therapy. The aims of the Registry are to assess the long-term safety and improve understanding of real-world biologic use in patients with PsO. Objective The objective of this analysis is to describe real-world effectiveness of guselkumab in patients with psoriasis. Methods Disease characteristics, absolute Psoriasis Area and Severity Index (PASI) score, percentage of body surface area (BSA) involvement, and change from baseline in PASI score and BSA through two years are reported for patients with PsO treated with guselkumab (GUS). Some patients initiated GUS ahead of enrolment in the registry. Results As of 12 July 2024, 2198 patients who initiated GUS prior to, or at, enrolment were included with a mean (standard deviation [SD]) duration of follow-up of 3.02 (1.08) years. Of these, 1184 (53.9%) were from North America, 672 (30.6%) were from Europe and 342 (15.6%) were from the Asia-Pacific region. Through 2 years of treatment, 244 (11.1%) patients withdrew from the registry, with the most common reason for withdrawal being patient choice (n=96, 39.3%) and 48 (19.7%) patients being lost to follow-up. Most patients had plaque PsO (2140, 97.4%) with a mean (SD) baseline PASI score of 6.0 (7.02) and a mean (SD) BSA involvement of 8.9% (12.72%). At baseline, 427 (21.1%) patients had a PASI score of 0, 188 (9.3%) had PASI >0–<1, 199 (9.8%) had PASI ≥1–<2, 160 (7.9%) had PASI ≥2–<3, 231 (11.4%) had PASI ≥3–<5 and 816 (40.4%) had PASI ≥5. Approximately 1 in 4 GUS patients had a PASI score of >10 (n=496; 24.5%). At Month 6, the mean (SD) change from baseline in PASI score was −4.5 (7.06) and the mean (SD) change from baseline in %BSA was −6.6 (12.41), corresponding to a mean (SD) absolute PASI score of 1.6 (3.10) and a mean (SD) BSA of 2.3% (5.81%), respectively. Improvements were maintained through 1 year of therapy; at Month 12, the mean (SD) change from baseline in PASI score was −4.4 (6.96) and in %BSA was −6.8 (12.26), corresponding to mean (SD) absolute PASI score of 1.5 (2.74) and a mean (SD) BSA of 1.9% (4.79%). Improvements were maintained through 2 years of treatment, with a mean (SD) absolute PASI score of 1.5 (3.13) and a mean (SD) BSA of 2.1% (6.08%), respectively. Conclusion: Patients in this large real-world registry experienced improvements in PsO severity while receiving treatment with GUS. Improvements were maintained through 2 years of treatment, supporting the use of GUS as a highly effective long-term option for patients with PsO.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".