Characteristics and prognosis of acute basilar artery occlusion in minor to moderate stroke and severe stroke after endovascular treatment: A multicenter retrospective study
Bibliographic record
Abstract
OBJECTIVE: We aimed to investigate characteristics and outcomes of patients receiving mechanical thrombectomy (MT) between minor to moderate stroke and severe stroke caused by acute basilar artery occlusion (BAO). METHODS: We retrospectively reviewed the data of all patients with BAO who underwent MT from three stroke centers between January 2016 and January 2020. The patients were dichotomized as minor to moderate or severe stroke group according to their admission National Institutes of Health Stroke Scale (NIHSS) score <21and ≥21. Patient characteristics, imaging findings, and outcomes were compared between the two groups. RESULTS: A total of 72 patients were included in this study. The posterior circulation Alberta Stroke Program Early CT Score (PC-ASPECTS) in the minor to moderate stroke patients were significantly higher than that of patients with severe stroke (P = 0.013). The good posterior circulation collateral scores (PC-CS) (6-10) were more commonly found in patients with minor to moderate stroke than in patients with severe stroke (58.14 % vs 10.34 %,P < 0.001). There were similar rates of successful recanalization between the two groups. Patients with minor to moderate stroke had a higher rate of favorable outcomes (mRS score 0-2, 60.47 % vs 20.69 %, P = 0.002) and a lower rate of periprocedural complications (4.65 % vs 31.03 %, P = 0.005) and mortality (4.65 % vs 24.14 %, P = 0.026) at 3 months after MT compared with the patients with severe stroke. CONCLUSIONS: Acute BAO patients with minor to moderate stroke had better posterior circulation collateral and had better outcomes after MT than those patients with severe stroke.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".