Incidence, recurrence, and long-term survival of ischemic stroke subtypes: A population-based study in the Middle East
Bibliographic record
Abstract
Background Incidence, risk factors, case fatality and survival rates of ischemic stroke subtypes are unknown in the Middle East due to the lack of community-based incidence stroke studies in this region. Aim To characterize ischemic stroke subtypes in a Middle Eastern population. Methods The Mashad Stroke Incidence Study is a community-based study that prospectively ascertained all cases of stroke among the 450,229 inhabitants of Mashhad, Iran between 2006 and 2007. We identified 512 cases of first-ever ischemic stroke [264 men (mean age 65.5 ± 14.4) and 248 women (mean age 64.14 ± 14.5)]. Subtypes of ischemic stroke were classified according to the TOAST criteria. Incidence rates were age standardized to the WHO and European populations. Results The proportion of stroke subtypes was distributed as follows: 14.1% large artery disease, 15% cardioembolic, 22.5% small artery disease, 43.9% undetermined and 4.5% other. The greatest overall incidence rates were attributed to undetermined infarction (49.97/100,000) followed by small artery disease (25.54/100,000). Prevalence of hypertension, diabetes and atrial fibrillation differed among ischemic stroke subtypes. Overall, there were 268 (52.34%) deaths and 73 (14.25%) recurrent strokes at five years after incident ischemic stroke, with the greatest risk of recurrence seen in the large artery disease (35.6%) and cardioembolic (35.5%) subgroups. Survival was similar in men and women for each stroke subtype. Conclusions We observed markedly greater incidence rates of ischemic stroke subtypes than in other countries within the Mashad Stroke Incidence Study after age standardization. Our findings should be considered when planning prevention and stroke care services in this region.
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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 | 0.001 | 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 | 0.001 | 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".