The World Stroke Organization’s Declaration for worldwide primary stroke and dementia prevention
Bibliographic record
Abstract
Сurrent strategies of primary stroke and cardiovascular disease prevention are aimed at addressing the main risk factors primarily in patients with higher cardiovascular disease risk. Since the number of people with incident stroke and ischaemic heart disease cases is rapidly growing across all countries of the world, this preventive strategy appears to be not sufficiently effective. World Stroke Organization recently (2020) endorsed a different concept of stroke and dementia prevention based on a population-wide approach to dealing with risk factors, which involves all individuals regardless of their cardiovascular disease risk level. This article describes four main primary prevention strategies suggested by the World Stroke Organization to effectively reduce stroke and dementia incidence by 50% and 30% respectively. These strategies include (1) population-wide prevention; (2) polypill therapy; (3) free e-Health application “Stroke Riskometer”; and active engagement of community health workers.
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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 | 0.027 | 0.028 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.018 | 0.031 |
| Insufficient payload (model declined to judge) | 0.010 | 0.014 |
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".