Racial and Ethnic Differences in Outcomes in Older Patients With Acute Ischemic Stroke
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 as to whether long-term outcomes of acute ischemic stroke (AIS) vary by race/ethnicity. Using the American Heart Association Get With The Guidelines-Stroke registry linked with Medicare claims data set, we examined whether 30-day and 1-year outcomes differed by race/ethnicity among older patients with AIS. METHODS AND RESULTS: We analyzed 200 900 patients with AIS >65 years of age (170 694 non-Hispanic whites, 85.0%; 20 514 non-Hispanic blacks, 10.2%; 6632 Hispanics, 3.3%; 3060 non-Hispanic Asian Americans, 1.5%) from 926 US centers participating in the Get With The Guidelines-Stroke program from April 2003 through December 2008. Compared with whites, other racial and ethnic groups were on average younger and had a higher median score on the National Institutes of Health Stroke Scale. Whites had higher 30-day unadjusted mortality than other groups (white versus black versus Hispanic versus Asian=15.0% versus 9.9% versus 11.9% versus 11.1%, respectively). Whites also had higher 1-year unadjusted mortality (31.7% versus 28.6% versus 28.1% versus 23.9%, respectively) but lower 1-year unadjusted all-cause rehospitalization (54.7% versus 62.5% versus 60.0% versus 48.6%, respectively). After risk adjustment, Asian American patients with AIS had lower 30-day and 1-year mortality than white, black, and Hispanic patients. Relative to whites, black and Hispanic patients had higher adjusted 1-year all-cause rehospitalization (black: adjusted odds ratio, 1.28 [95% confidence interval, 1.21-1.37]; Hispanic: adjusted odds ratio, 1.22 [95% confidence interval, 1.11-1.35]), whereas Asian patients had lower odds (adjusted odds ratio, 0.83 [95% confidence interval, 0.74-0.94]). CONCLUSIONS: Among older Medicare beneficiaries with AIS, there were significant differences in long-term outcomes by race/ethnicity, even after adjustment for stroke severity, other prognostic variables, and hospital characteristics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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) | 0.000 | 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