Bibliographic record
Abstract
Stroke prevention is extremely cost-effective. The Ontario Task Force for the Coordinated Stroke Strategy for Ontario received from Dr. Muhammad Mamdani of the Institute for Clinical Evaluative Sciences the estimate that stroke prevention is approximately ten times more cost-effective than treating acute stroke with tPA.1 Hackam and Spence2 have calculated that in the highest-risk patients it would be possible to reduce the risk of stroke by more than 90% by a combination of interventions (including blood pressure control, smoking cessation, diet, treatment of diabetes, lipid-lowering therapy, and for patients in whom it is indicated, anticoagulation for atrial fibrillation or carotid endarterectomy). Dr Mukul Sharma (personal communication) has shown that stroke prevention is a dominant strategy in health economic terms; i.e. that it improves outcomes while reducing net costs. Effective control of hypertension has the potential to reduce stroke by half.3,4 Because hypertension is so prevalent, it accounts for the greatest population attributable risk for stroke, and thus represents the greatest opportunity to reduce stroke.
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.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".