Medicom Conference Report The 6th IFPA World Psoriasis and Psoriatic Arthritis Congress
Bibliographic record
Abstract
Psoriatic arthritis is an inflammatory arthritis that occurs in about a quarter of patients with cutaneous psoriasis and most often begins after the onset of skin disease.PsA is highly heritable, but a greater contribution to disease susceptibility is attributable to psoriasis-associated gene variants.Class I HLA B alleles are most strongly associated with PsA.Several environmental factors, particularly trauma, have been identified as potential triggers of PsA.Recent pathogenetic studies using samples from the synovial fluid, synovium, skin and enthesis indicate the importance of tissue resident memory cells as well as CD8 T cells in disease pathogenesis.γδT-cells play an important role in the enthesis.Anti-cytokine therapies also indicate tissue cytokine hierarchy with IL-23 and IL-17 being important for skin psoriasis, TNF, IL-17and IL-23 for peripheral synovitis, TNF and IL-17 for axial arthritis, IL-17 and IL-12/23 for enthesitis and TNF and IL-12/23 for inflammatory bowel disease.The pathogenesis of PsA is complex with an interplay between genetic and environmental factors leading to aberrant immune activation possibly in the skin, gut or enthesis leading to sustained inflammation in the synovium and periarticular structures, leading to bone loss as well as new-bone formation.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.285 | 0.165 |
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".