Late Endovascular Treatment for Ischemic Stroke with Moderate to Large Infarct Volume is Associated with a better Clinical Prognosis
Bibliographic record
Abstract
OBJECTIVE: The concept of "time is brain" is crucial for the reperfusion therapy of ischemic stroke. However, the Infarct Growth Rate (IGR) varies among individuals, which is regarded as a more powerful factor than the time when determining infarct volume and its association with clinical outcomes. For stroke patients with a similar infarct volume, a longer time from stroke Onset to Imaging (OTI) correlates with a lower IGR, which may indicate a better prognosis. This study aimed to compare the prognoses of patients with anterior circulation stroke who received Endovascular Treatment (EVT), specifically comparing early EVT vs. late EVT. METHODS: We analyzed 255 patients with acute anterior circulation stroke due to large vessel occlusion and who have successfully undergone recanalization after EVT. All patients were divided into the late (OTI≥6 hours) and early (<6 hours) time window groups and compared. The primary outcome was moderate functional prognosis, defined as a modified Rankin Scale (mRS) ≤3 at 90 days. The secondary outcome was No Significant Infarct Expansion (NSIE), defined as a reduction of less than 2 points on the Alberta Stroke Program Early CT Score (ASPECTS). RESULTS: In the moderate to large infarct subgroup, the late time window EVT was independently associated with a higher rate of moderate functional outcome (P =0.007) and NSIE (P =0.001); mediation analysis showed that NSIE partially mediated the effects of the late time window EVT on moderate functional outcome (coefficient: 0.112, 95% CI: 0.051 to 0.239, P =0.011); however, these associations were not consistent in the small infarct group. CONCLUSION: For anterior circulation stroke patients who received EVT according to current guidelines, those with moderate to large infarct volume and having a longer OTI had better clinical outcomes than those who had a shorter OTI and were more suitable for EVT.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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, 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".