World Stroke Organization: Global Stroke Fact Sheet 2025
Bibliographic record
Abstract
Background: Among non-communicable disorders (NCDs), stroke remains the second leading cause of death and the third leading cause of death and disability combined (as expressed by disability-adjusted life-years lost—DALYs) in the world. Aims: The study was aimed to estimate global, regional and nationa burden of stroke and its risk factors from 1990 to 2021. Methods: Finding presented in this paper were derived mainly from the Global Burden of Disease 2021 Study on stroke burden published in The Lancet Neurology 2024:23:973-1003. Results: The estimated global cost of stroke is over US$890 billion (0.66% of the global GDP). From 1990 to 2021, the burden (in terms of the absolute number of cases) increased substantially (70.0% increase in incident strokes, 44.0% deaths from stroke, 86.0% prevalent strokes, and 32% DALYs), with the bulk of the global stroke burden (87.0% of deaths and 89.0% of DALYs) residing in lower-income and lower-middle-income countries (LMICs). Stroke attributable to metabolic risks constituted 69.0% of all strokes, environmental risks constituted 37.0%, and behavioral risks constituted 35.0%. Conclusion: This World Stroke Organization (WSO) Global Stroke Fact Sheet 2025 provides the most updated information that can be used to inform communication with all internal and external stakeholders; all statistics have been reviewed and approved for use by the WSO Executive Committee and leaders from the Global Burden of Disease research group.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".