Young Women Have Poorer Outcomes than Men after Stroke
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Gender differences in stroke outcome have not been fully assessed in young patients. METHODS: We conducted an observational study of consecutive young ischemic stroke patients (≤ 50 years of age) admitted to a stroke unit (January 1999 to December 2009). Basal data, subtype of ischemic stroke, stroke severity [Canadian Neurological Scale (CNS)], length of hospital stay, inhospital complications, mortality and functional outcome at discharge [modified Rankin Scale (mRS) score] were analyzed. For stroke severity and outcome analyses, 2 age groups were established: 15-30 (very young group) and 31-50 years old (middle-aged young group). RESULTS: A total of 310 patients were enrolled; 128 females and 182 males. The mean age was similar in women and men (41.07 ± 8.6 vs. 42.12 ± 8.2, NS). Migraine was more frequent in women, whereas arterial hypertension, hyperlipidemia, alcohol abuse, current smoking and atherothrombotic infarction were more frequent in men (p < 0.05). Females presented greater stroke severity than men [median CNS (IQR) = 8 (3.5) vs. 9 (2.5), p = 0.014] except in the very young group [median CNS (IQR) = 9 (1.8) vs. 8 (5), p = 0.022]. Female sex was a predictor of unfavorable outcomes (mRS >2) at discharge in the total sample (OR = 3.33; 95% CI = 1.41-7.84) and in the middle-aged young group (OR = 2.62; 95% CI = 1.05-6.53), adjusted by baseline data, stroke subtype, inhospital complications, length of stay and stroke severity. CONCLUSIONS: Female gender is associated with worse outcomes in adult ischemic stroke patients up to 50 years old. However, this effect is not observed in younger patients (15-30 years).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".