Validating Rheumatoid Arthritis Remission Using the Patients’ Perspective: Results from a Special Interest Group at OMERACT 2016
Bibliographic record
Abstract
OBJECTIVE: The Outcome Measures in Rheumatology (OMERACT) working group on the patients' perspective on remission in rheumatoid arthritis (RA) has been working on this topic since 2010. At OMERACT 2016, progress and preliminary data on validity of measurement instruments for pain, fatigue, and independence in remission in RA were presented, and future directions were explored. METHODS: A special interest group was organized, in which the current data on the patients' perspective on remission were presented. The ongoing study that aimed to validate measurement instruments for pain, fatigue, and independence in a state of low disease activity or remission was presented, and preliminary data on construct validity and discriminative capacity were evaluated cross-sectionally. RESULTS: At OMERACT 2016, the progress of the working group and preliminary data from 142 of the anticipated 300 patients were presented. Selected instruments significantly correlated with the Disease Activity Score in 28 joints (construct validity) and all instruments except 1 discriminated between patients in and patients not in remission. The subsequent discussion mainly focused around 3 points: (1) the formulation of patient perceived remission, (2) the duration of remission, and (3) the measurement of the domain independence. An informal vote indicated a slight preference for working toward modifying the current remission criteria by adding patient-reported outcomes (PRO), or by substituting the patient's global assessment with 1 or more PRO. CONCLUSION: More evidence on measuring patients' perspective on remission in RA is needed before an informed decision can be made regarding development or modification of remission definitions.
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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 | 0.028 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".