State of the Art-A Journey through the World of Antithrombotic Therapy
Bibliographic record
Abstract
The introduction of low-molecular-weight heparins (LMWHs) has contributed to major improvements in the management of venous thromboembolism (VTE). The LMWHs have been shown to be as effective as, and safer than, unfractionated heparin (UFH) in the prevention and treatment of VTE, and their use is included as a grade 1A recommendation in the Sixth American College of Chest Physicians Guidelines. Important practical disadvantages of treatment with UFH are the need for extended hospital stays and frequent monitoring of coagulation levels. In comparison, LMWHs offer convenient and cost-effective prophylaxis and treatment of VTE on an outpatient basis. The LMWHs have also had a major impact on the management of arterial thromboembolism. In patients with acute coronary syndromes (unstable angina and non-ST-segment elevation myocardial infarction), enoxaparin has demonstrated sustained clinical improvements in major ischemic outcomes compared with UFH. Antiplatelet agents have also contributed significantly to the development of effective antithrombotic therapy. Aspirin is the best known antiplatelet agent and has heretofore been the mainstay of antiplatelet therapy in unstable angina. New data indicate that combination therapy with aspirin and a novel thienopyridine, clopidogrel, may further improve outcomes in this indication.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".