Real-World Effectiveness of 9–12 Months of Guselkumab Therapy among Patients with Moderate-to-Severe Plaque Psoriasis in the CorEvitas Psoriasis Registry
Bibliographic record
Abstract
INTRODUCTION: Guselkumab, an anti-interleukin-23 biologic therapy, has been shown to significantly reduce disease activity and improve patient-reported outcome measures (PROMs) among patients with moderate-to-severe plaque psoriasis in clinical trials. However, characterization of the real-world effectiveness of guselkumab among patients living in the USA and Canada is warranted. METHODS: Patients who participated in the CorEvitas Psoriasis Registry between 18 July 2017 and 10 March 2020 were included if they met the following criteria: Investigator's Global Assessment (IGA) score ≥ 3 and body surface area (BSA) ≥ 10% (moderate-to-severe psoriasis), initiated guselkumab at a registry (index) visit, and had a registry follow-up visit after 9-12 months of persistent guselkumab therapy. Data were retrieved for baseline patient demographics and disease characteristics, treatment history, disease activity, and PROMs. Outcomes were assessed at index and follow-up visits; response rates and mean changes were calculated. RESULTS: Among 113 patients, mean age was 49.7 years, mean psoriasis duration was 17.5 years, and 65.5% of patients were biologic experienced. At baseline, mean IGA score was 3.3, Psoriasis Area Severity Index (PASI) score was 13.6, and Dermatology Life Quality Index (DLQI) score was 9.6. At follow-up, IGA 0/1, PASI 90, and DLQI 0/1 were achieved by 62.2%, 56.8%, and 54.7% of patients, respectively. Statistically significant improvements were observed in all disease activity scores and PROMs, including the EuroQoL Visual Analogue Scale, Work Productivity and Activity Impairment, Patient Global Assessment, fatigue, skin pain, and itch (p < 0.05). CONCLUSIONS: This real-world study showed that patients with moderate-to-severe psoriasis who received 9-12 months of persistent guselkumab therapy experienced improvements in disease severity and PROMs.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".