Updates in ANCA-associated vasculitis
Bibliographic record
Abstract
Antineutrophil cytoplasm antibody (ANCA)-associated vasculitides (AAV) are small-vessel vasculitides that include granulomatosis with polyangiitis (formerly Wegener's granulomatosis), microscopic polyangiitis, and eosinophilic granulomatosis with polyangiitis (Churg - Strauss syndrome). Renal-limited AAV can be considered a fourth entity. Despite their rarity and still unknown cause(s), research into AAV has been very active over the past decades and has allowed for the development of new therapeutic regimens. The pathogenesis is a complex process of immune dysregulations with genetic and environmental influences. Recent genome-wide association studies have identified multiple genetic predisposing variants, especially at the major histocompatibility complex region. The pathogenic role of antimyeloperoxidase ANCA (MPO-ANCA) is well supported by several animal models, but that of antiproteinase 3 ANCA (PR3-ANCA) is not as strongly demonstrated. B cells likely play a major role in the pathogenesis because they produce ANCAs, as do neutrophil abnormalities, imbalances in T-cell subtypes, and/or cytokine - chemokine networks. The role of the alternative complement pathway was established more recently, and studies of the antagonist of human C5a receptor (avacopan) in AAV have just been completed, with promising results. The current standard management of severe AAV still consists of remission induction therapy with glucocorticoids combined with rituximab or, less often now, cyclophosphamide. Several studies showed that reduced-dose regimens of glucocorticoids are noninferior to the previously used heavier regimens, for therefore less cumulative exposure to glucocorticoids. Avacopan use may even lead to new steroid-free therapeutic approaches, at least for some selected patients. Several trials and studies have now shown the superiority of rituximab over azathioprine or methotrexate as maintenance therapy. However, the optimal dosing regimen and duration for maintenance remain to be better defined, at the individual patient level. Many changes have occurred in the standard of care for AAV over the past decades, and more are expected soon, including with use of avacopan, but also, likely, a few other agents under investigation or development.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.028 | 0.012 |
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".