The economic impact of enoxaparin versus unfractionated heparin for prevention of venous thromboembolism in acute ischemic stroke patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Venous thromboembolism (VTE) is a common complication after acute ischemic stroke that can be prevented by the use of anticoagulants. Current guidelines from the American College of Chest Physicians recommend that patients with acute ischemic stroke and restricted mobility receive prophylactic low-dose unfractionated heparin or a low-molecular-weight heparin. Results from clinical studies, most recently from PREVAIL (PREvention of Venous Thromboembolism After Acute Ischemic Stroke with LMWH and unfractionated heparin), suggest that the low-molecular-weight heparin, enoxaparin, is preferable to unfractionated heparin for VTE prophylaxis in patients with acute ischemic stroke and restricted mobility. This is due to a better clinical benefit-to-risk ratio, with the added convenience of once-daily administration. In line with findings from modeling studies and real-world data in acutely ill medical patients, recent economic data indicate that the higher drug cost of enoxaparin is offset by the reduction in clinical events as compared with the use of unfractionated heparin for the prevention of VTE after acute ischemic stroke, particularly in patients with severe stroke. With national performance measures highlighting the need for hospitals to examine their VTE practices, the relative costs of different regimens are of particular importance to health care decision-makers. The data reviewed here suggest that preferential use of enoxaparin over unfractionated heparin for the prevention of VTE after acute ischemic stroke may lead to reduced VTE rates and concomitant cost savings in clinical practice.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Other design | high |
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it