Supplementary Material for: Cerebral Small Vessel Disease Burden and Futile Reperfusion after Endovascular Treatment for Patients with Acute Ischemic Stroke
Bibliographic record
Abstract
Introduction: Cerebral small vessel disease (SVD) burden includes increased risk of poor functional outcomes after acute ischemic stroke (AIS). We aimed to investigate the impact of cerebral SVD on 3-month functional outcomes in patients with AIS who received endovascular treatment (EVT) and to determine whether SVD is associated with futile reperfusion (FR). Methods: Using a multicenter stroke registry, we analyzed consecutive patients with AIS with either intracranial and/or extracranial anterior circulation large artery occlusion, who were treated with EVT and achieved successful reperfusion (thrombolysis in cerebral infarction grade 2b–3). The cerebral SVD burden was evaluated using baseline brain magnetic resonance imaging using a modified Fazekas score (mFS). The main outcome variable was FR, defined as poor functional outcomes (modified Rankin scale 3–6) at 3 months after stroke, despite successful recanalization. Secondary outcomes included stroke progression/recurrence and any hemorrhagic transformation. Results: Among 10,890 patients with AIS, 577 (5.3%) received EVT within 12 h of onset, including 354 who met study eligibility criteria. FR was observed in 191 patients (53.5%) and was positively associated with SVD burden. After adjustment for covariates including age, sex, stroke etiology, initial stroke severity, collateral status, Alberta stroke program early CT score, initial serum glucose, systemic blood pressure, and vascular risk factors, mFS grade 3 was significantly associated with FR (odds ratio: 3.93, 95% confidence interval: 1.602–9.619; p = 0.003). Conclusions: We demonstrated that cerebral SVD assessed with baseline brain MRI is associated with the futility of successful recanalization after EVT and any hemorrhagic transformation but not with early stroke progression or recurrence. Nevertheless, our findings do not justify withholding EVT in otherwise eligible patients with AIS based on the presence of severe SVD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.753 | 0.160 |
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 source (direct Gemma or distilled Codex), 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".