The association between pre-stroke physical activity and cerebral collateral circulation in acute ischaemic stroke
Bibliographic record
Abstract
OBJECTIVES: To investigate the association between pre-stroke physical activity and cerebral collateral circulation in acute ischaemic stroke survivors. METHODS: Using a cross-sectional design, we recruited ischaemic stroke survivors from two hospital acute stroke units and included participants with ICA and MCA M1/M2 segment occlusions. The Physical Activity Scale for the Elderly (PASE) was used to measure physical activity levels during the 7 days prior to stroke onset. Clinically acquired computed tomography perfusion (CTP) imaging was used to assess cerebral collateral circulation using the hypoperfusion intensity ratio (HIR) and visual grading with dynamic computed tomography angiography reconstructed from CTP images. Spearman's correlation coefficient was used to examine the association between the PASE Total Score and HIR. Independent sample t-test was used to estimate the difference in HIR between those who reported engaging in pre-stroke leisure walking and those who did not. RESULTS: We included 29 participants (mean ± SD = 71.5 ± 12.5 years; 38 % female). No association was observed between the PASE Total Score and HIR. Participants who engaged in leisure walking (mean ± SD = 0.30 ± 0.21) had lower HIR compared to participants who did not (mean ± SD = 0.46 ± 0.14) (estimated mean difference = 0.16, 95 %CI = 0.01 to 0.31, p = 0.04). CONCLUSIONS: This study provides preliminary evidence to suggest that pre-stroke leisure walking may an important activity type associated with cerebral collateral circulation. Larger studies are required to further investigate the relationship between pre-stroke physical activity and collateral circulation.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
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".