Greater Efficacy with Secukinumab Treatment is Associated with Greater Psoriasis Symptom Relief: Results from Secukinumab Clinical Trial Data
Bibliographic record
Abstract
Background Psoriasis negatively affects patients’ quality of life. Secukinumab is a human interleukin-17A antagonist indicated for the treatment of moderate-to-severe plaque psoriasis. Objectives The current analysis evaluated the benefits of secukinumab by assessing relationships between disease severity and patient-reported symptoms. Methods Correlations between psoriasis-related itching, pain, and scaling and disease severity scores (Psoriasis Area and Severity Index [PASI] and Investigator's Global Assessment [IGA]) were evaluated at baseline, Week 12, and change from baseline to Week 12 using secukinumab clinical data from ERASURE and FIXTURE. Symptom responder status and PASI/IGA change were evaluated using logistic modeling. Results Correlation coefficients ranged 0.11-0.49 for PASI and 0.19-0.52 for IGA. Greater PASI response was related to greater symptom response/complete relief. Conclusions Results further demonstrate the relationship between traditional clinical measures of disease severity and patient-reported, psoriasis-related itching, pain, and scaling –- hence the need to consider both outcomes together to evaluate treatment effects in this disease fully.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".