Efficacy and safety of the low-molecular weight heparin enoxaparin compared with unfractionated heparin across the acute coronary syndrome spectrum: a meta-analysis
Bibliographic record
Abstract
AIMS: To determine whether the low-molecular weight heparin enoxaparin remains favourable when compared with unfractionated heparin (UFH) among patients with acute coronary syndromes (ACS) when incorporating efficacy and safety of these adjunctive therapies using a net clinical endpoint. METHODS AND RESULTS: We performed a meta-analysis of randomized trials of enoxaparin vs. UFH in ST-elevation-MI (STEMI) or non-ST-elevation-ACS (NSTEACS) (n = 49,088 patients in 12 trials). The net clinical endpoint was defined as death, MI, or major bleeding by 30 days. Death or myocardial infarction (MI) was significantly reduced with enoxaparin when compared with UFH (9.8 vs. 11.4%, OR 0.84, P < 0.001). The net clinical endpoint occurred less frequently with enoxaparin than UFH (12.5 vs. 13.5%, OR 0.90, P = 0.051). Major bleeding was higher with enoxaparin (4.3 vs. 3.4%, OR 1.25, P = 0.019). Among STEMI trials, the net clinical endpoint was significantly lower with enoxaparin (OR 0.84, P = 0.015), but there was no difference in NSTEACS trials (OR 0.97). CONCLUSIONS: When compared with UFH, enoxaparin was associated with superior efficacy as adjunctive antithrombin therapy among >49 000 patients across the ACS spectrum. Although bleeding was increased with enoxaparin, this increase was offset by a reduction in death or MI. The net clinical benefit in favour of enoxaparin was evident among the STEMI population and was neutral among the NSTEACS population.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".