Comparative Effectiveness of Biologics Across Subgroups of Patients with Moderate-to-Severe Plaque Psoriasis: Results at Week 12 from the PSoHO Study in a Real-World Setting
Bibliographic record
Abstract
INTRODUCTION: In routine clinical care, important treatment outcomes among patients with moderate-to-severe plaque psoriasis (PsO) have been shown to vary according to patient demographics and disease characteristics. This study aimed to provide direct comparative effectiveness data at week 12 between anti-interleukin (IL)-17A biologics relative to other approved biologics for the treatment of PsO across seven clinically relevant patient subgroups in the real-world setting. METHODS: ), race (White or Asian), PsO disease duration (< 15 or ≥ 15 years), psoriatic arthritis (PsA) comorbidity (present or absent), and prior biologic use (never or ≥ 1). Across these subgroups, effectiveness was compared between the anti-IL-17A cohort (ixekizumab, secukinumab) versus all other approved biologics and ixekizumab versus five individual biologics. The proportion of patients in each subgroup who achieved 90% improvement in Psoriasis Area and Severity Index (PASI90) and/or static Physician Global Assessment (sPGA) 0/1, PASI100, or PASI90 at week 12 were assessed. Comparative analyses were conducted using frequentist model averaging (FMA). Missing data were imputed using non-responder imputation. RESULTS: Patients in each of the seven subgroups achieved similar response rates to those of the overall treatment cohort, apart from patients with PsA treated with other biologics who had 7-10% lower response rates. Consequently, patients with comorbid PsA had significantly higher odds of achieving skin clearance at week 12 with anti-IL-17A biologics compared to other biologics. Patients in all subgroups had significantly higher odds of achieving PASI90 and/or sPGA (0,1), PASI100, and PASI90 in the anti-IL-17A cohort relative to the other biologics cohort, except for the Asian subgroup. No sex- or age-specific differences in treatment effectiveness after 12 weeks were identified, neither between the treatment cohorts nor between the individual treatment comparisons. CONCLUSIONS: Despite relative consistency of comparative treatment effectiveness across subgroups, the presence of comorbid PsA may affect a patient's clinical response to some treatments.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".