Abstract 40: Relationship of Collateral Status With Clinical Outcomes in Endovascular Thrombectomy for Large Core Stroke: <i>A SELECT2 Subanalysis</i>
Bibliographic record
Abstract
Background: Previous studies demonstrating association of collateral status with clinical outcomes after endovascular thrombectomy (EVT) excluded patients with large core infarcts. We analyzed the association of collateral status with clinical outcomes and EVT treatment effect in SELECT2. Methods: In SELECT2, a central core lab adjudicated CT-angiographic collateral status using collateral scores (CS) by Tan et al. Patients were stratified based on CS into poor (CS 0-1) vs good (CS 2-3) collaterals. The primary outcome was the distribution of modified Rankin Scale score at 90-day follow-up. Models were adjusted for core volume, ASPECTS in addition to age, stroke severity and time to randomization. Results: Of 352 patients, 180 received EVT. Median collateral status was 2(IQR 1-2). Patients presenting <6h after last known well (LKW) (n=100) had poorer collaterals than those presenting at 6-24 hours (n=252), median 1 (1-2) vs 2 (1-2), p<0.001. Collateral status inversely correlated with CTP core volume (Rho=-0.32, p<0.0001), but not with CT ASPECTS (Rho=0.07, p=0.16). Overall, point estimates favored EVT in patients with poor (CS 0-1) [aGenOR: 1.32, 95% CI: 0.98-1.79, p=0.068] and good (CS 2-3) collaterals [aGenOR: 1.97, 95% CI: 1.43-2.72, p<0.001] without significant heterogeneity [p-interaction=0.094]. However, in the earlier 0-6h time window, there was evidence of treatment effect hetermogeneity with a larger treatment effect when good collaterals were present [aGenOR: 4.10, 95% CI: 1.81-9.29] and an absent treatment effect when only poor collaterals were observed [aGenOR: 1.26, 95% CI: 0.79-1.99], p-interaction=0.023. In the late time window, (6-12h), the EVT treatment effect did not differ significantly between poor collaterals (aGenOR: 1.35, 95% CI: 0.91-2.01) and good collaterals (aGenOR: 1.78, 95% CI: 1.24-2.56, p-interaction=0.50). Conclusion: Collateral status was worse in large core patients presenting in early (<6 hours) window; and correlated with ischemic core volume but not ASPECTS. Collaterals status modified EVT treatment effect in the early but not the late time window, in which both good and poor collaterals still benefited from EVT. Clinicaltrials.gov registration: NCT03876457
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".