Subcutaneous unfractionated heparin for the treatment of venous thromboembolism
Bibliographic record
Abstract
PURPOSE OF REVIEW: When unfractionated heparin is used to treat acute venous thromboembolism, it is usually given by intravenous infusion with dose adjustment in response to activated partial thromboplastin time measurements. These two requirements are a barrier to treatment of venous thromboembolism with unfractionated heparin, and it is uncertain if they are necessary. RECENT FINDINGS: Two recent studies compared subcutaneous unfractionated heparin and subcutaneous low-molecular-weight heparin, each given twice-daily, for the acute treatment of venous thromboembolism. The Galilei study used an initial dose of unfractionated heparin that was partially weight-adjusted, with subsequent dosing based on activated partial thromboplastin time results. The FIDO study treated patients with a first dose of unfractionated heparin of 333 IU/kg, followed by 250 IU/kg twice-daily without dose adjustment in response to the activated partial thromboplastin time or other coagulation tests. There was no difference in either study between the unfractionated heparin and low-molecular-weight heparin groups at the end of 3 months, for recurrent venous thromboembolism (Galilei: 4.2 vs. 3.9%; relative risk (RR) 1.1, 95% confidence interval (CI) 0.5 to 2.2. FIDO: 3.8 vs. 3.4%; RR 1.1, 95% CI 0.5 to 2.3) or major bleeding (Galilei: 1.4 vs. 1.9%; RR 0.7, 95% CI 0.2 to 2.2. FIDO: 1.7 vs. 3.4%; RR 0.5, 95% CI 0.2 to 1.3). SUMMARY: Recent studies suggest that twice-daily subcutaneous unfractionated heparin is as effective and safe as low-molecular-weight heparin for the acute treatment of venous thromboembolism, and that adjustment of unfractionated heparin dose in response to activated partial thromboplastin time measurements is not necessary with a weight-adjusted dose of unfractionated heparin.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".