Effectiveness of Guselkumab Therapy among Patients with Plaque Psoriasis with Baseline IGA Score ≥ 2 in the CorEvitas Psoriasis Registry
Bibliographic record
Abstract
INTRODUCTION: In clinical trials, treatment with the interleukin-23 inhibitor guselkumab was associated with significantly improved disease severity and patient-reported outcome measures (PROMs) among patients with moderate-to-severe plaque psoriasis. However, limited information is available regarding the real-world effectiveness of guselkumab among patients with psoriasis of mild, moderate, and severe Investigator's Global Assessment (IGA) severities living in the USA and Canada. METHODS: Patients participating in the CorEvitas Psoriasis Registry between 18 July 2017 and 10 July 2019 who met the following criteria were included: IGA ≥ 2 (mild or greater disease severity), initiated guselkumab at a registry (index) visit, and had a registry follow-up visit after persistent guselkumab treatment for 9 to 12 months. Data were collected for patient demographics, disease characteristics, treatment history, disease activity, and PROMs. At follow-up, outcome measure response rates and mean changes from the index visit were calculated. RESULTS: . Mean psoriasis duration was 17.5 years and 79.2% of patients had previously received one or more biologic therapy. At the index visit, mean IGA, Psoriasis Area Severity Index (PASI), and Dermatology Life Quality Index (DLQI) scores were 3.0, 9.9, and 8.0, respectively. At follow-up, IGA 0/1 and IGA 0 were achieved by 64.6% and 36.2% of patients, respectively. PASI 75, 90, and 100 were achieved by 61.5%, 46.9%, and 36.9% of patients; 55.4% had maintained or achieved DLQI 0/1. Mean improvements were observed in all evaluated disease activity outcomes and PROMs, with all differing significantly from zero except for the percent of work hours missed due to psoriasis. CONCLUSION: In this real-world study, patients with a baseline IGA score ≥ 2 experienced improvements in disease activity and PROMs after 9-12 months of persistent guselkumab treatment.
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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 | 0.001 | 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".