P6072Characterization of major and clinically relevant non-major bleeding in the APEX trial
Bibliographic record
Abstract
Background: The severity and clinical sequelae of major and clinically relevant non major (CRNM) bleeding events that occurred in the APEX trial have not been explored. Purpose: Characterize the severity and clinical consequences of major and CRNM bleeding. Methods: The APEX trial randomized 7,513 hospitalized acutely ill medical patients to extended duration betrixaban (80mg) vs. enoxaparin (40mg). Subjects with creatinine clearance <30mL/min, the received 40mg of betrixaban or 20mg of enoxaparin. Descriptive statistics of location, severity and clinical consequences of major and CRNM bleeding are reported according to dose and treatment arm. Results: Overall, 46 major and 133 CRNM bleeding events occurred. The most frequent site for major bleeding was gastrointestinal (59%) and intracranial (20%). One fatal bleed occurred in each treatment arm. For CRNM bleeding, the most common were hematuria (21%), epistaxis (13%), and gastrointestinal (13%). There were no differences in the severity or clinical consequences of bleeding events between the treatment arms. Although betrixaban resulted in an increase in CRNM bleeding, 87% were mild or moderate, 63% resolved without medical intervention, did not increase or prolong hospitalization or result in more interruption or withdrawal of study drug, compared to enoxaparin.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".