Abstract WP110: Intravenous Thrombolysis in Acute Ischemic Stroke Patients With Large Vessel Occlusion and Mild Stroke Severity
Bibliographic record
Abstract
Introduction: We investigated the effectiveness of intravenous thrombolysis (IVT) in acute ischemic stroke (AIS) patients with large vessel occlusion (LVO) and mild neurological deficits defined as National Institutes of Health Stroke Scale scores <6 points (mELVO). Methods: The primary efficacy outcome was three-month functional independence (FI; mRS-scores of 0-2) that was compared between patients with and without IVT treatment. Other efficacy outcomes of interest included three-month favorable functional outcome (FFO; mRS-scores of 0-1) and mRS-scores distribution at discharge and at 3 months. The safety outcomes comprised all-cause 3-month mortality, symptomatic intracranial hemorrhage (ICH), asymptomatic ICH and severe systemic bleeding. Results: We evaluated 336 AIS patients with mELVO (mean age: 63±15 years, 45% women). Patients treated with IVT (n=162) had higher FI (85.6% vs. 74.8%, p=0.027) with lower mRS scores at hospital discharge (p=0.034) compared to the rest. Three-month mRS-scores tended to be lower in the IVT group (p=0.069). No differences were detected in any of the safety outcomes including symptomatic ICH, asymptomatic ICH, severe systemic bleeding and 3-month mortality (p>0.1). IVT was associated with higher likelihood of 3-month FI (OR=2.19, 95%CI: 1.09-4.42), 3-month FFO (OR=1.99, 95%CI: 1.10-3.57) and functional improvement at discharge [cOR (per 1-point decrease in mRS-score)=2.94, 95%CI: 1.67-5.26] and at 3 months (cOR=1.72, 95%CI: 1.06-2.86) on multivariable logistic regression models adjusting for potential confounders including mechanical thrombectomy. Conclusion: IVT is independently associated with higher odds of improved discharge and three-month functional outcomes in AIS patients with mELVO. IVT does not increase the risk of systemic or intracranial bleeding.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".