Associations between Canadian deprivation indices and acute stroke outcomes post endovascular thrombectomy - A retrospective cohort study
Bibliographic record
Abstract
Background Socioeconomic status (SES) has long been recognized as an important determinant of ischemic stroke outcomes, with increased stroke severity and mortality found in patients with lower SES. However, the impact of SES on outcomes post-endovascular thrombectomy in Canada remains largely unknown. Methods This study is a retrospective cohort analysis of patients from 2015–2024 who received endovascular thrombectomy for large vessel occlusion in Manitoba, Canada (study catchment area 650,000 km 2 , population 1.4 million). Patient residence postal codes were matched with neighborhood-level socioeconomic factors using the Canadian Material and Social Deprivation Index and the Canadian Index of Multiple Deprivation (CIMD). Regression analyses adjusting for baseline demographics, geographic variables, presenting National Institutes of Health Stroke Scale (NIHSS), and time to angiography were conducted to analyze the association between socioeconomic factors and a binarized 90-day modified Rankin Scale (mRS). Results Overall, 793 patients (51% females, median age 74 years) were included. Unadjusted analyses showed a positive association between poor clinical outcomes and increased economic dependency scores in the CIMD index (OR = 1.18 [95%CI 1.03, 1.37]), as well as decreased CIMD ethno-cultural composition scores (OR = 0.84 [0.73–0.98]). Adjusted analysis did not show consistent associations between procedural outcomes or functionally independent outcomes at 90 days. Interpretation This Canadian provincial stroke registry study showed SES-related discrepancies in stroke outcomes on an unadjusted basis, but no definite discrepancies after adjustment for age, presenting severity, and time to angiography. These findings suggest that SES-related differences in these variables mediate the observed relationship between SES and poor clinical outcomes.
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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 | 0.000 |
| Bibliometrics | 0.001 | 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 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".