Anticoagulation for rheumatic mitral stenosis, INVICTUS in perspective
Bibliographic record
Abstract
PURPOSE OF REVIEW: Rheumatic mitral stenosis (MS) while declining in high- and middle-income countries, continues to be a major cause of death and disability in low-income countries. Although the nonvitamin-K antagonist oral anticoagulants (NOACs) have essentially supplanted vitamin K antagonists (VKA) in patients with nonvalvular atrial fibrillation (AF), their efficacy for stroke prevention in patients with rheumatic MS and AF has not been widely studied until recently. The purpose of this review is to provide a succinct synopsis of the current anticoagulation recommendations for patients with native and prosthetic heart valve disease, with a specific focus on patients with rheumatic MS. RECENT FINDINGS: The INVICTUS trial was the first large randomized evaluation of a NOAC vs. VKA in approximately 4600 patients with moderate to severe rheumatic MS and AF. The primary outcome of stroke, systemic embolization, myocardial infarction, vascular and all-cause death, VKA treated patients exhibited lower event rates (including mortality) compared to rivaroxaban. We discuss and contextualize these findings as they relate to the broader use of anticoagulants in patients with valvular heart disease, with and without concomitant AF. SUMMARY: VKA remains the standard of care for patients with moderate to severe rheumatic MS who have concomitant AF. Rates of stroke in anticoagulated patients with rheumatic MS and AF are lower than what is traditionally held, while nonstroke related deaths remain the most common mechanism of mortality.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".