Clinicians’ perspective on key domains in ANCA-associated vasculitis: a Delphi exercise
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: The existing set of outcomes for anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) needs to incorporate views of outcome measure stakeholders to meet the current standards of outcome measurement proposed by the Outcome Measures in Rheumatology (OMERACT) initiative. This study identifies domains that clinical experts (one group of stakeholders) consider to be important to determining the impact of AAV using the International Classification of Functioning, Disability and Health (ICF), a framework that describes health along four components: body functions, body structures, activities and participation, and contextual factors. METHOD: An international group of clinicians with expertise in the clinical care of patients with vasculitis were identified through consultation with three major vasculitis societies. The relevant domains were determined using a three-round e-mail-based Delphi questionnaire. RESULTS: Eighty-two clinicians were invited to participate in this study and 41 responded. Nineteen domains were identified as important by > 80% of participants: six body functions (energy, seeing, hearing, pain, respiratory, and renal function), seven body structures (peripheral nerves, eye, ear, nose, sinuses, lungs (and airways), and kidneys), three activities and participation (carrying out daily routine, remunerative employment, and recreation and leisure), and three environmental factors (medications, support and relationships, and health services, systems, and policies). CONCLUSIONS: Clinical experts focus on the physiological effects of AAV with less importance given to the effect of AAV on patients' activities and participation in life situations and the role of contextual factors. This study represents a step towards incorporating views of a range of stakeholders into disease assessment in AAV.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 it