337. A DISEASE-SPECIFIC PATIENT-REPORTED OUTCOME FOR ANTI-NEUTROPHIL CYTOPLASMIC ANTIBODY–ASSOCIATED VASCULITIS: SCALE STRUCTURE AND MEASUREMENT PROPERTIES OF THE ANTI-NEUTROPHIL CYTOPLASMIC ANTIBODY-ASSOCIATED VASCULITIS PATIENT-REPORTED OUTCOME MEASURE
Bibliographic record
Abstract
Background: ANCA-associated vasculitis (AAV) is an organ- and life-threatening disease. Patients present with active disease, followed by periods of remission and flare, and have impairments in mental and physical wellbeing due to disease and treatment. An international team has developed a disease- specific patient-reported outcome measure: the AAV-PRO, supported by a steering group, including four patient partners, in collaboration with the Outcome Measures in Rheumatology (OMERACT) Vasculitis Working group. Candidate questionnaire items were produced following in-depth qualitative research in the UK, US, and Canada plus cognitive interviews, extensive piloting and independent linguistic and translatability assessment. Methods: Patients with AAV were recruited from Vasculitis UK, and the Vasculitis Patient-Powered Research Network. Patients completed the 35 candidate questionnaire items, plus information about their disease, at baseline and three months (included transition item charting change). Paper copies were used in the UK and an electronic online version in the US. UK patients also completed the Euro-Qol-5D (EQ-5D-5L). In the US, a test–retest exercise was completed 3–5 days following baseline. Exploratory factor analysis (EFA) and Rasch analysis defined the underlying scale (domain) structure. The following properties were determined for each domain: convergent validity, using Pearson correlations between domain scores and the EQ-5D-5L; known groups validity, using t-tests to compare mean scores for different disease states; test–retest reliability, analysing intraclass correlation coefficients (ICC), with respondents reporting no change; and longitudinal construct validity, analysing mean change scores and effect sizes in relation to transition item responses at three months.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".