Defining Outcome Measures for Psoriasis: The IDEOM Report from the GRAPPA 2016 Annual Meeting
Bibliographic record
Abstract
The International Dermatology Outcome Measures (IDEOM) psoriasis working group was established to develop core domains and measurements sets for psoriasis clinical trials and ultimately clinical practice. At the 2016 annual meeting of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis, the IDEOM psoriasis group presented an overview of its progress toward developing this psoriasis core domain set. First, it summarized the February 2016 meeting of all involved with the IDEOM, highlighting patient and payer perspectives on outcome measures. Second, the group presented an overview of the consensus process for developing the core domain set for psoriasis, including previous literature reviews, nominal group exercises, and meeting discussions. Future plans include the development of working groups to review candidate measures for at least 2 of the domains, including primary pathophysiologic manifestations and patient-reported outcomes, and Delphi surveys to gain consensus on the final psoriasis core domain set.
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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 | 0.201 | 0.176 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.012 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".