Five-Year Recurrence Rate and the Predictors Following Stroke in the Mashhad Stroke Incidence Study: A Population-Based Cohort Study of Stroke in the Middle East
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Little is known about the risk of recurrent stroke in low- and middle-income countries. This study was designed to identify the long-term risk of stroke recurrence and its associated factors. METHODS: From November 21, 2006 for a period of 1 year, 624 patients with first-ever stroke (FES) were registered from the residents of 3 neighborhoods in Mashhad, Iran. Patients were followed up for the next 5 years after the index event for any stroke recurrence or death. We used competing risk analysis and cause-specific Cox proportional hazard models to estimate the cumulative incidence of stroke recurrence and its associated variables. RESULTS: The cumulative incidence of stroke recurrence was 14.5% by the end of 5 years, with the largest rate during the first year after FES (5.6%). Only advanced age (adjusted hazard ratio [HR] 1.02; 95% CI 1.01-1.04) and severe stroke (National Institutes of Health Stroke Scale score >20; HR 2.23; 95% CI 1.05-4.74) were independently associated with an increased risk of 5-year recurrence. Case fatality at 30 days after first recurrent stroke was 43.2%, which was significantly greater than the case fatality at 30 days after FES of 24.7% (p = 0.001). CONCLUSION: A substantial number of our patients either died or had stroke recurrences during the study period. Advanced age and the severity of the index stroke significantly increased the risk of recurrence. This is an important finding for health policy makers and for designing preventive strategies in people surviving their stroke.
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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 | 0.008 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 it