Outcomes Measured in Polymyalgia Rheumatica and Measurement Properties of Instruments Considered for the OMERACT Core Outcome Set: A Systematic Review
Bibliographic record
Abstract
OBJECTIVE: To systematically identify the outcome measures and instruments used in clinical studies of polymyalgia rheumatica (PMR) and to evaluate evidence about their measurement properties. METHODS: Searches based on the MeSH term "polymyalgia rheumatica" were carried out in 5 databases. Two researchers were involved in screening, data extraction, and risk of bias assessment. Once outcomes and instruments used were identified and categorized, key instruments were selected for further review through a consensus process. Studies on measurement properties of these instruments were appraised against the COSMIN-OMERACT (COnsensus-based Standards for the selection of health Measurement Instruments-Outcome Measures in Rheumatology) checklist to determine the extent of evidence supporting their use in PMR. RESULTS: Forty-six studies were included. In decreasing order of frequency, the most common outcomes (and instruments) used were markers of systemic inflammation [erythrocyte sedimentation rate (ESR), C-reactive protein (CRP)], pain [visual analog scale (VAS)], stiffness (duration in minutes), and physical function (elevation of upper limbs). Instruments selected for further evaluation were ESR, CRP, pain VAS, morning stiffness duration, and the Health Assessment Questionnaire. Five studies evaluated measurement properties of these instruments, but none met all of the COSMIN-OMERACT checklist criteria. CONCLUSION: Measurement of outcomes in studies of PMR lacks consistency. The critical patient-centered domain of physical function is poorly assessed. None of the candidate instruments considered for inclusion in the core outcome set had high-quality evidence, derived from populations with PMR, on their full range of measurement properties. Further studies are needed to determine whether these instruments are suitable for inclusion in a core outcome measurement set for 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 | 0.026 | 0.109 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.010 |
| Bibliometrics | 0.017 | 0.017 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".