Development of a Provisional Core Domain Set for Polymyalgia Rheumatica: Report from the OMERACT 12 Polymyalgia Rheumatica Working Group
Bibliographic record
Abstract
OBJECTIVE: The Outcome Measures in Rheumatology (OMERACT) polymyalgia rheumatica (PMR) working group aims to develop a core set of outcome measures to be used in clinical trials for PMR. Previous reports from OMERACT 11 included a qualitative study of the patient experience and a preliminary literature review. METHODS: A 3-round Delphi survey of clinicians and patients with PMR was undertaken to identify a candidate core domain set for PMR research. Additionally, a literature review of outcome measures and their respective measurement instruments was undertaken. Meetings of patient research partners and clinicians were convened to review face validity of the provisional core domain set, which was subsequently presented and discussed at the OMERACT 12 congress. RESULTS: Of the 60 clinicians taking part in round 1, 55 took part in round 2 and 51 in round 3. Of the 55 patients who took part in round 1, 46 and 35 took part in subsequent rounds. In total, 91% of participants in round 3 deemed the resulting draft core domain set reasonable. The literature review identified 28 studies for full review. Measurement instruments for each proposed domain were identified. Clinicians are highly aware of glucocorticoid-related adverse effects, but there is relatively little evidence about their true prevalence and severity, especially in PMR. CONCLUSION: A provisional core domain set, presented for clinical trials in PMR, comprises acute phase markers, physical function, death, glucocorticoid-related adverse events, and development of giant cell arteritis. Measurement instruments are suggested that may cover each domain, but these require formal validation for clinical trials in PMR.
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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 | 0.417 | 0.403 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.006 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.006 | 0.015 |
| Research integrity | 0.005 | 0.008 |
| 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".