Correlation of Plasma Coagulation Parameters With Thromboprophylaxis, Patient Characteristics, and Outcome in the MEDENOX Study
Bibliographic record
Abstract
CONTEXT: Plasma anti-Xa and anti-IIa activities correlate with the dose of low-molecular-weight heparin, and D-dimer and thrombin-antithrombin complexes are markers of procoagulant activity. OBJECTIVE: To investigate the relationship between plasma coagulation parameters and patient characteristics, including renal function, thromboprophylaxis, and incidence of venous thromboembolism (VTE) in the MEDENOX study population. DESIGN: Controlled, multicenter, double-blind, randomized study. PATIENTS: Two hundred twenty-four acutely ill medical patients. INTERVENTIONS: Either 20 or 40 mg of enoxaparin administered subcutaneously or a placebo once daily for 10 (+/-4) days. MAIN OUTCOME MEASURES: VTE and plasma anti-Xa and anti-IIa activities, D-dimer, and thrombin-antithrombin levels in blood collected before prophylaxis was given (day 0) and after the last injection of the study drug. RESULTS AND CONCLUSIONS: Anti-Xa activity correlated with the dose of enoxaparin. In patients with mild or moderate renal impairment, there was no significant relationship between anti-Xa activity and the creatinine clearance rate. D-dimer concentrations were lower at day 10 (+/-4) in the 40-mg group, which had a 63% lower VTE incidence, than at day 0. No venographically confirmed thromboses were found in patients with a normal D-dimer concentration (<0.5 microg/mL [0.5 mg/L]). D-dimer levels were higher in patients with VTE than in those without VTE, but no predictive value could be demonstrated for individual patients.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 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".