109Betrixaban compared to enoxaparin among obese acute medically ill subjects: an APEX trial subgroup analysis
Bibliographic record
Abstract
Background: Compared with enoxaparin, betrixaban significantly reduced the rate of venous thromboembolism (VTE) among acutely medically ill subjects in the APEX trial, without an increase in major bleeding. The efficacy and safety of betrixaban according to body mass index (BMI) have not been previously reported. Purpose: Assess the efficacy and safety of betrixaban compared to enoxaparin by BMI category. Methods: Subjects who received at least one dose of study drug (n=7441) and had a baseline BMI were categorized: underweight/normal (<25), overweight (≥25 and <30), low risk obesity (≥30 and <35), and moderate/high risk obesity (≥35). The efficacy outcome was the composite of asymptomatic deep vein thrombosis (DVT), symptomatic DVT, pulmonary embolism, and VTE-related death. The safety outcome was major bleeding. Efficacy was assessed using the Cochran-Mantel-Haenszel method, and safety was assessed with the Chi-Square Test of Independence. The Breslow-Day test for homogeneity assessed for interaction between BMI category and treatment on outcomes.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".