Ethnic variation in acute cerebrovascular disease: Analysis from the Qatar stroke registry
Bibliographic record
Abstract
OBJECTIVE: We analysed the Qatar stroke registry for ethnic variations in patients admitted with cerebrovascular disease at Hamad General Hospital, Qatar. METHODS: Patients admitted with acute stroke from January 2014 to December 2015, enrolled in the registry were included in the study. We evaluated the clinical presentation, risk factors, and outcome at discharge and 90 days post-discharge in relation to the patient's ethnic background. RESULTS: A total of 1727 patients were enrolled in the Hamad General Hospital stroke registry (Middle Eastern 594 (34.4%), South East Asian 924 (53.5%) and Far Eastern 209 (12.1%)). There were significant differences in risk factors, clinical presentation and prognosis. Compared to Middle Eastern patients, Far Eastern patients were younger (62.8 ± 13.7 vs. 48.9 ± 9.1 years; p < 0.001). Diabetes and hypertension were significantly more common in Middle Eastern patients (358 (60.3%), 458 (77.1%)) compared to South East Asian patients (420 (45.5%), 596 (64.5%)) and Far Eastern patients (57 (27.3%), 154 (73.7%)), respectively (p < 0.001). Stroke was more severe in the Far Eastern group (median (interquartile range) - 5.0 (2-11.5)) compared to the Middle Eastern group (median (interquartile range) - 4.0 (1-8)) and South East Asian (median (interquartile range) - 4.0 (2-9)), p = 0.011. Mortality at 90 days was highest in patients from the Far East (15/209 (8.2%)) compared to the Middle East (35/594 (6.5%)) and South East Asia (33/924 (4.0)), p = 0.028. Patients from the Far East had significantly higher rates of intracranial hemorrhage compared to the Middle East and South East Asia (70/209 (33.5%), 77/594 (13.0%), and 169/924 (18.3%)), respectively (p < 0.001). CONCLUSION: The early age at presentation and the poor control of risk factors, especially in patients from South East Asia and the Far East requires attention.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".