Off-label Use of Secukinumab: A Potential Therapeutic Option for SAPHO Syndrome
Bibliographic record
Abstract
To the Editor: We read the recent article by Wang et al with great interest.1 The authors described a cohort of 4 patients with SAPHO (synovitis, acne, pustulosis, hyperostosis, and osteitis) syndrome who showed substantial improvement in skin lesions, clinical conditions, and whole-body magnetic resonance imaging before and after treatment with secukinumab without concomitant conventional synthetic disease-modifying antirheumatic drugs (csDMARDs), nonsteroidal antiinflammatory drugs (NSAIDs), or other biologics, and suggested a potential benefit of secukinumab in the treatment of SAPHO syndrome. However, there are some details that need further clarification. First, SAPHO syndrome is a rare chronic inflammatory disease involving bone, joint, and skin.2 Although variable … Address correspondence to Dr. J. Li, Department of Rheumatology and Immunology, Zhuzhou Hospital Affiliated to Xiangya Medical College, Central South University, Zhuzhou, Hunan, China. Email: wgzncsu{at}csu.edu.cn.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| 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".