A Review on Noval Anticoagulants
Bibliographic record
Abstract
The long term anticoagulation with warfarin is associated with various bleeding risks which led to the need for newer drugs. With the developments in the anticoagulation therapy the newer agents like dabigatran, rivaroxaba, apixaban and edoxaban have gained popularity with their more predictable pharmacological properties and reduced need for drug monitoring.The United States of America has approved both rivaroxaban and dabigatran to be used in the treatment of VTE (Venous Thrombo Embolism). In Europe and Canada dabigatran is prescribed after elective hip or knee arthroplasty to prevent VTE. For a VTE prophylaxis after an orthopediac surgery and to prevent stroke in AF patient, Rivaroxaban is recommended according to RECORD study. Edoxaban is highly effective in treatment of VTE and acts as a preventive measure of stroke in NVAF (Nonvalvular Atrial Fibrillation). Through this article various pharmacological aspects, dosing regimens, bleeding associated risk will be illustrated.
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 | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".