Development of a Flare Instrument for Use in Psoriatic Disease: A Report from the 2015 GRAPPA Annual Meeting
Bibliographic record
Abstract
OBJECTIVE: The objective of this Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) initiative is to develop a questionnaire to determine the presence of a flare of disease activity in psoriatic disease (PsD), for use in clinical care and research settings. METHODS: In 2014 and 2015, 2 online Delphi surveys of patients and physicians attempted to achieve consensus about items that might discriminate a flare of disease. In the first round, items were derived from previous qualitative studies with patients; in the second round, new items, suggested by both patients and physicians, were added. Survey results were discussed at the 2015 GRAPPA annual meeting, and 8 breakout groups discussed specific aspects of PsD flares. RESULTS: Survey participants were patients (n = 103 and n = 57 in rounds 1 and 2) and physicians (n = 125 and n = 81). Items for flare covered 6 domains (joints, skin, emotion, participation, fatigue, and unclassified). Patients agreed that 20 items were important (10 joints, 1 participation, 8 fatigue, 1 unclassified), and physicians agreed on 23 items (5 skin, 11 joints, 4 participation, 3 unclassified). Eight items were selected as important by both groups: 7 joint items and 1 unclassified. Patients emphasized fatigue and physicians emphasized skin and participation. Breakout groups concluded that the components of a flare instrument should be derived from patients. A flare should be defined as a change in disease state requiring intervention. CONCLUSION: The concept of flare in PsD covers articular, skin, emotional, participation, and fatigue domains. Further work is required to specify items that represent these domains.
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 | 0.067 | 0.065 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".