Developing a Core Set of Outcome Measures for Behçet Disease: Report from OMERACT 2016
Bibliographic record
Abstract
OBJECTIVE: The Outcome Measures in Rheumatology (OMERACT) Vasculitis Working Group has been working toward developing a data-driven core set of outcome measures for use in clinical trials of Behçet's syndrome [Behçet disease (BD)]. This paper summarizes the group's work through OMERACT 2016, discussions during the meeting, and the future research agenda. METHODS: Qualitative patient interviews were conducted among 20 patients with BD who have different types of organ involvement. A 3-round Delphi among BD experts and patients was initiated to identify domains, subdomains, and outcomes to be assessed in clinical trials of BD. The results of these studies were discussed during OMERACT 2016 and next steps were planned. RESULTS: Patients' perspectives and priorities were identified through qualitative interviews that identified candidate domains and subdomains for inclusion in the Delphi and characterized some shortcomings of the currently used patient-reported outcomes in BD. The first round of the Delphi was completed and several domains or subdomains were endorsed by the experts and/or the patients. Because many more items were endorsed than would be feasible to assess during a clinical trial, rating and ranking of items by physicians and patients was planned as a next critical step. The challenges of assessing specific organ system involvement was also discussed. CONCLUSION: The OMERACT Behçet Syndrome Working Group research program will identify core domains for assessment in BD with the goal of developing a core set of outcome measures for use in all trials of BD with the option to incorporate additional outcomes for specific organ involvement.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".