Advances in therapeutic treatment options for ANCA-associated vasculitis
Bibliographic record
Abstract
Introduction: ANCA-associated vasculitis (AAV) is a group of life-threatening autoimmune conditions that require a combination of treatments for induction and maintenance therapy. High-dose glucocorticoids and cyclophosphamide have traditionally been the mainstay of AAV treatment. During the last decade, rituximab has proven to be an effective alternative to cyclophosphamide. Currently, significant research in alternative therapeutic options for both induction and maintenance treatment is underway.Areas covered: Guideline review of remission, induction, and maintenance therapy of AAV. Examination of current research on alternative advanced therapeutics, specifically, the evidence for rituximab, C5a inhibitors, and trimethoprim-sulfamethoxazole.Expert opinion: Toxicities of existing therapies for AAV need to be limited, with alternative methods and agents for induction and maintenance. Importantly, the side-effects of high dose and long-term steroids have now been recognized. Newer induction agents and maintenance regimes will lead the future of AAV treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".