Risk of Venous Thromboembolism in Ankylosing Spondylitis and Rheumatoid Arthritis: Genetic Aspects
Bibliographic record
Abstract
To the Editor: In the postgenomic era, the genomic revolution in translational medicine has not escaped the attention of clinicians and researchers focusing on the medical management of venous thromboembolism (VTE). VTE, a multifactorial disease, is a worldwide health problem affecting people of all ages, sexes, and races, and has 2 major subtypes: deep vein thrombosis and pulmonary embolism.1 The clinical outcomes of VTE represent the major source of morbidity and mortality. No extended data related to the comorbidities of autoimmune diseases with VTE have been presented thus far. Recently, Molander, et al 2 conducted a nationwide register-based cohort study and demonstrated a strong association between clinical rheumatoid arthritis (RA) disease activity and the risk of VTE. Moreover, Avina-Zubieta, et al 3 conducted a highly informative to the researchers cohort study in Canada, wherein the overall incidence of VTE was 2.03-fold higher in people with …
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.013 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".