Exploring Priority Research Areas in Psoriasis and Psoriatic Arthritis from Dermatologists’ Perspective: A Report from the GRAPPA 2011 Annual Meeting
Bibliographic record
Abstract
At the 2011 annual meeting of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) in Naples, Italy, the GRAPPA dermatology members led discussions on priority research areas in psoriasis and psoriatic arthritis (PsA). These discussions centered on 3 primary areas: evaluation of PsA screening tools, updates on psoriasis comorbidities, and new developments in genetics and comparative effectiveness research. Introductory presentations were followed by engaging panel discussions and audience interaction. The members agreed that screening tools are highly valuable in early detection of PsA among dermatology patients and that efforts are necessary to develop tools suitable for adoption in clinical practice. Members also agreed that a collaborative investigation to evaluate the effect of psoriasis treatments on cardiovascular comorbidities would be highly informative. Finally, the members supported continued efforts to explore the genetic basis of psoriasis and more studies focused on comparative effectiveness of existing treatments.
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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 | 0.056 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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".