Bibliographic record
Abstract
It is well established that active antineutrophil cytoplasmic antibody-associated vasculitis (AAV) — granulomatosis with polyangiitis (Wegener’s; GPA) or microscopic polyangiitis — is associated with a very high risk of venous thromboembolic events (VTE): about 7 per 100 person-years1,2,3,4, compared to 0.15–0.31 in the general population5,6,7. Risk probably remains elevated, although to a much lower degree, during remission. Such risk has been calculated (1.0 per 100 person-years) in only 1 study4 and was not formally compared to the published data on healthy persons available at the time5; but dissection of data from the other studies of VTE in AAV1,2,3 and addition of data from new and very large cohorts of healthy persons support the statement that the relative risk of VTE during quiescent AAV is elevated, probably to about the same degree as in rheumatoid arthritis or inflammatory bowel disease6,7,8. The increased risk of VTE in AAV, regardless of disease activity, cannot be attributed to the known risk factors for VTE2,4,9. It is on this background that Hilhorst, et al looked for evidence of hypercoagulability in patients with quiescent AAV10. At first glance, it might appear that investigating active AAV would be more fruitful, but since abnormalities related to … Address correspondence to Dr. Monach. E-mail: pmonach{at}bu.edu
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".