Efficacy of Systemic Treatments for Moderate to Severe Plaque Psoriasis: Systematic Review and Meta-Analysis
Bibliographic record
Abstract
AIMS: To compare the efficacy of psoriasis treatments through a systematic literature review and meta-analysis. METHODS: Randomized controlled trials evaluating the Psoriasis Area and Severity Index (PASI) were identified and assessed for quality. PASI responses were modeled using a mixed-treatment comparison, which enabled the estimation of the relative effectiveness of several treatments. Sensitivity analyses were performed. RESULTS: Twenty-two trials were included. Tumor necrosis factor (TNF) inhibitors were most likely to achieve PASI 75, with a mean relative risk (RR) of 15.57 (95% CI 12.46-19.25) versus mean RRs of 9.24 (95% CI 5.33-13.91) for systemic and 5.65 (95% CI 3.74-7.97) for T-cell therapies. Infliximab (81%) and adalimumab (71%) had greater probabilities of achieving PASI 75 than etanercept (50%). Dosage was an important determinant of outcome. CONCLUSIONS: TNF inhibitors were more effective than T cell agents; adalimumab and infliximab were more effective than systemic therapies and etanercept. Evidence-based comparisons support patient and physician decisions.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".