Basilar artery stenting in hyperacute stroke: A systematic review of published cases
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Basilar artery stenting is a rescue therapy in the management of hyperacute stroke. Published data on efficacy and safety are limited. METHODS: A systematic review of published studies was performed in accordance with PRISMA guidelines. Inclusion criteria were adult patients with ischemic stroke with permanent basilar artery stent placement within 48 h of onset. Data were extracted by two independent reviewers. Additional cases from our institution were identified via a local stroke registry. RESULTS: Of 212 screened articles, patient-level data was reported in 35 studies (87 individuals) and six additional patients were included from our registry. Patients (n = 93, 63 % male; median age 64) most often presented with mid-basilar occlusion (52 %) and 76 % received treatment within 12 hours of onset. Favorable angiographic results occurred in 67 %. The final modified Rankin Scale score (mRS) was 0-3 for 56 % of patients; mortality was 29 %. Those with complete flow post-procedure were more likely to have a final mRS of 0-3 (p = 0.05). CONCLUSIONS: In 93 cases of basilar stenting in hyperacute stroke, favourable angiographic and functional outcomes were reported in 67 % and 56 % of patients, respectively. International multicenter registries are required to establish benefit and identify patient and technical factors that predict favorable outcomes.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".