Should We Consider Tumor Necrosis Factor as the Only Target in Spondyloarthritides?
Bibliographic record
Abstract
Understanding the biology of inflammation occurring at the entheseal-bone insertion has led to a better knowledge of the main drivers of inflammation in spondyloarthropathies. The clinical efficacy of tumor necrosis factor-α (TNF-α) blockers strongly supports the idea that TNF-α is a key molecule. Yet 40% of patients do not respond appropriately, indicating that other pathways are likely involved in these illnesses. Targeting T cells through a blockade of costimulating (CD28) molecules does not help, and in experimental models of sacroiliitis, targeting interleukin 6 (IL-6) did not provide any useful evidence. Immunohistological and functional data suggest that B cells, Th17, or IL-17A might be important, and indeed preliminary data concerning drugs targeting B cells and IL-17A seem to suggest clinical benefits.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".