Shifting the focus – the primary role of <scp>IL</scp>‐23 in psoriasis and other inflammatory disorders
Bibliographic record
Abstract
Insights into the pathophysiology of autoimmune inflammatory diseases including psoriasis have advanced considerably in recent years, and in parallel, so too have the available treatment options. Current clinical paradigms for the treatment of psoriasis have evolved to include targeted biologic therapies, starting with tumour necrosis factor-alpha (TNF-α) inhibitors and later, agents targeting interleukin (IL)-12/23 and IL-17. The most recent evidence suggests that IL-23 might be an even more potent target for the effective treatment of psoriasis and other autoimmune inflammatory disorders. This review will describe recent developments leading to the current understanding of the key role of IL-23 as a 'master regulator' of autoimmune inflammation and the clinical evidence for agents that specifically target this modulator in the context of treating psoriasis, spondyloarthropathy and inflammatory bowel disease.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| 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".