Economic and Practical Aspects of Thromboprophylaxis With Unfractionated and Low-Molecular-Weight Heparins in Hospitalized Medical Patients
Bibliographic record
Abstract
Acutely ill medical patients are at significant risk of developing venous thromboembolic (VTE) complications during or after their hospitalization. Venous thromboembolic events, such as proximal deep vein thrombosis (DVT) or pulmonary embolism (PE), place a high and unacceptable burden on health care resources, up to US$1.5 billion annually in the United States. However, the burden of VTE can be reduced by use of appropriate thromboprophylaxis. Prophylaxis of VTE with either a low-dose unfractionated heparin (UFH) or a low-molecular-weight heparin (LMWH) in medical inpatients is effective, well tolerated and cost-effective, compared with no prophylaxis. Low-molecular-weight heparins have a number of practical benefits over UFH, including once-daily subcutaneous injection and the potential to be used in the outpatient setting. These clinical advantages could translate to improved patient adherence to therapy and provide economic benefits, where LMWHs are more cost-effective compared with UFH.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".