GRAPPA Treatment Recommendations: 2021 Update
Bibliographic record
Abstract
Since its inception, one of the central missions of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) has been the development of treatment recommendations for patients with psoriatic arthritis (PsA). The initial guidelines, developed in 2009, were updated in 2015. Because of the abundance of new data concerning the therapeutic approach to PsA, GRAPPA members have been working throughout 2020-2021 to once again update the recommendations. At the GRAPPA 2021 annual meeting, the full committee presented proposals from each of the treatment domain groups, including the comorbidities and related conditions groups, based on previous systematic literature reviews. Overarching principles and summary evidence tables were presented, including results from a GRAPPA membership survey of patients and clinicians to assess levels of agreement. A draft of the figure for the treatment recommendations was presented and discussed with the wider membership.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.019 | 0.088 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.010 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.047 | 0.041 |
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".