Critical role of interleukin (IL)-17 in inflammatory and immune disorders: An updated review of the evidence focusing in controversies
Bibliographic record
Abstract
Interleukin 17 (IL-17) is a proinflammatory cytokine that has been the focus of intensive research because of its crucial role in the pathogenesis of different diseases across many medical specialties. In this context, the present review in which a panel of 13 experts in immunology, dermatology, rheumatology, neurology, hematology, infectious diseases, hepatology, cardiology, ophthalmology and oncology have been involved, puts in common the mechanisms through which IL-17 is considered a molecular target for the development of novel biological therapies in these different fields. A comprehensive review of the literature and analysis of the most outstanding evidence have provided the basis for discussing the most relevant data related to IL-17A blocking agents for the treatment of different disorders, such as psoriasis, psoriatic arthritis, rheumatoid arthritis, ankylosing spondylitis, cardiovascular disorders, non alcoholic fatty liver disease, multiple sclerosis, inflammatory bowel disease, uveitis, hematological and solid cancer. Current controversies are presented giving an opening line for future research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".