One-year case fatality rate following stroke in the Mashhad Stroke Incidence Study: a population-based study of stroke in Iran
Bibliographic record
Abstract
BACKGROUND: In developing countries, there are few comprehensive studies of mortality following stroke. AIMS AND/OR HYPOTHESIS: We aimed to determine the one-year case fatality rate following stroke and to identify factors associated with death in a population-based stroke incidence study in Iran. METHODS: Six hundred eighty-four patients who had suffered a stroke between November 21, 2006, and November 20, 2007, and were recruited to the Mashhad Stroke Incidence Study were followed up at one-year. Most patients were seen in an outpatient visit. When patients had died, a verbal autopsy was conducted by telephone with the next of kin. RESULTS: A total of 226 (34·3%) patients died during the first year following stroke. The cumulative one-year case fatality rate was 30·6% following ischemic stroke and 53·0% following hemorrhagic stroke (55·8% after intracerebral hemorrhage and 35·7% after subarachnoid hemorrhage). The majority of these deaths occurred in the first 28 days after stroke (17·7% with ischemic and 43·0% with hemorrhagic stroke). Factors associated with greater mortality at one-year (excluding those who died during the first week) were hemorrhagic stroke [hazard ratio (HR) 3·99; 95% confidence interval 1·90-8·37], age (HR 1·05; 95% confidence interval 1·03-1·08), previous transient ischemic attack (HR 2·45; 95% confidence interval 1·00-5·99), and National Institutes of Health Stroke Scale on admission (HR 1·14; 95% confidence interval 1·10-1·17). CONCLUSION: Despite the younger age of stroke occurrence in Iran, the one-year case fatality rate following stroke is similar to that reported in developed countries.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".