Low-Molecular-Weight Heparin in Acute Coronary Syndromes
Bibliographic record
Abstract
Acute coronary syndrome (ACS) may be divided into two distinct conditions on the basis of the electrographical presence or absence of significant ST-segment elevation. Coronary arterial plaque rupture with subsequent thrombus formation is usually responsible for the development of ACS. A number of antithrombotic therapies have been developed to inhibit key steps in the sequential process of thrombus formation. Thrombin generation is of critical importance in the creation of intracoronary thrombosis. Heparins, in therapeutic doses, reduce the risk of death and myocardial infarction by about 50% in aspirin-treated patients presenting with ACS with non-ST-segment elevation. Low-molecular-weight heparin (LMWH) primarily targets the inhibition of factor Xa (and to a lesser extent thrombin) by binding with antithrombin. A number of well-designed, large randomized controlled trials have shown that LMWHs have at least comparable efficacy and safety to unfractionated heparin, but their superior practical advantages have made them a mainstay therapy in the treatment of ACS with non-ST-segment elevation. More recently, the role of LMWH in the treatment of ACS with ST elevation has been evaluated in a large randomized trial.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".