Use of Intravenous Heparin by North American Neurologists
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Our aim was to determine current usage patterns of intravenous heparin for patients with acute ischemic stroke. METHODS: A survey was undertaken of 280 neurologists from the United States and 270 neurologists from Canada. Brief vignettes were presented for the following 5 scenarios: stroke in evolution, atrial fibrillation-related stroke (A FIB), vertebrobasilar stroke, carotid territory stroke, and multiple transient ischemic attacks. The effect of medicolegal factors was also ascertained. Statistical comparisons were done with chi-squared testing. RESULTS: US neurologists were significantly more likely than Canadian neurologists to use intravenous heparin for patients with stroke in evolution (51% versus 33%, P<0.001), vertebrobasilar stroke (30% versus 8%, P<0.001), carotid territory stroke (31% versus 4%, P<0.001), and multiple transient ischemic attacks (47% versus 9%, P<0.001). The vast majority of US and Canadian neurologists would use intravenous heparin for acute stroke patients with A FIB (88% and 84%, respectively). US neurologists more often cited medicolegal factors as a potential influence on the decision-making process than Canadian neurologists (33% versus 10%, P<0.001). CONCLUSIONS: In several clinical scenarios, US neurologists were significantly more likely than Canadian neurologists to use intravenous heparin. Fears regarding medicolegal consequences may partially explain the treatment disparity. Despite the publication of 4 clinical trials, which have not shown any long-term benefit for patients with acute stroke and A FIB (International Stroke Trial, Heparin in Acute Embolic Stroke Trial) or cardioembolic stroke (Trial of Org 10172 in Acute Stroke Treatment, the Tinzaparin in Acute Ischemic Stroke Trial), both US and Canadian neurologists would use intravenous heparin in large numbers for this condition. Further studies are warranted to investigate the lack of impact of "negative" studies on clinician behavior.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".