Efficacy and safety of endovascular mechanical thrombectomy for acute basilar artery occlusions
Bibliographic record
Abstract
Objective To evaluate the efficacy and safety of endovascular thrombectomy for acute ischemic stroke due to basilar artery occlusion, and analyze the correlation between baseline clinical features and prognoses. Methods The clinical data of 27 patients with acute stroke due to basilar artery occlusion, admitted to and underwent emergency endovascular thrombectomy in our hospital from February 2016 to March 2017, were analyzed retrospectively. The re-canalization rate and complications were determined and the clinical outcomes were assessed. The correlation between clinical features and prognoses were analyzed. Results Successful re-canalization was achieved in 24 out of 27 patients (88.9 %), and the mean time from onset to re-canalization was (418.92±223.96) min. Symptomatic intracerebral hemorrhage (SICH) was observed in 2 patients (7.4 %) and mortality in the first 3 months was 29.6% (8/27). At 3-month follow up, 14 patients (51.8 %) showed good prognosis (modified Rankin scale [mRS] scores≤2) and 13 had poor prognosis. Baseline NIHSS scores (23[12.5, 33.8] vs. 35[23, 39]) and posterior circulation-Alberta Stroke Program Early CT Scale scores (9 [8, 10] vs. 7 [4, 9]) between patients with good prognosis and poor prognosis were significantly different (Z=-2.043, P=0.041; Z= -2.387, P=0.017). Conclusions Endovascular thrombectomy can contribute to a high re-canalization rate and safety. Baseline clinical severity and collateral circulation compensation are associated with clinical prognosis. Key words: Ischemic stroke; Basilar artery occlusion; Mechanical thrombectomy
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".