One-Year Outcomes with Once or Twice Daily Enoxaparin
Bibliographic record
Abstract
Background: Enoxaparin given once daily (QD) for thrombotic disorders is less burdensome than twice-daily (BID) dosing. However, long-term outcomes when enoxaparin given as QD monotherapy are unknown. Methods: We did a population-based cohort study. New users of enoxaparin alone (2005-2014) were identified in the linked healthcare databases of Quebec, Canada, and followed up for up to one year. The number of dispensed syringes divided by prescription length determined QD or BID enoxaparin by intention to treat. Cumulative rates of major bleeding and re-treatment with anticoagulants at one year were compared between enoxaparin groups. Re-treatment was initiation of anticoagulation after at least 30 days of no dispensed anticoagulants. The duration of enoxaparin monotherapy was the sum of prescriptions until discontinuation. Results: The cohort included 504 patients; QD and BID enoxaparin users were 445 and 59, respectively. Mean (SD) age was 78.0 (6.6) years, 43.8% were males, and 61.9% had cancer. At 12 months, major bleeding occurred in 21 (4.7%) and 4 (6.8%) among QD and BID enoxaparin users, respectively (Figure 1A, P = 0.49). Re-treatment with anticoagulants occurred in 37 (9.6%) and 5 (9.4%) of QD and BID users, respectively (Figure 1B, P = 0.98). The duration of enoxaparin monotherapy was on average 13.9 (95% CI, 4.4-23.4, P = 0.005) days longer with QD vs BID use. Conclusions: Monotherapy with QD enoxaparin was common and longer than BID enoxaparin with no apparent differences in bleeding or re-treatment with anticoagulants. Figure 1 Disclosures Klil-Drori: Sanofi Canada: Research Funding. Nazha:Sanofi Canada: Employment. Gharib:Sanofi Canada: Employment. Perreault:Sanofi Canada: Research Funding. Tagalakis:Servier: Other: participated on ad boards; Bayer: Other: participated on ad boards; Pfizer: Other: participated on ad boards; Sanofi Aventis: Other: investigator initiated grant;participated on ad boards; BMS-Pfizer: Other: participated on ad boards.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".