Long-term outcome of endovascular therapy for acute basilar artery occlusion
Bibliographic record
Abstract
The long-term functional outcome of acute basilar artery occlusion (BAO) patients who received modern endovascular therapy (EVT) is unclear. We sought to assess the long-term functional outcome of BAO patients treated with EVT and determine the prognostic factors associated with favorable outcome. We enrolled consecutive BAO patients who received EVT between December 2012 and December 2018 in this observational study. Baseline characteristics and outcomes were presented. Multivariable logistic regression analysis was performed to identify the prognostic factors associated with long-term outcome. Among the 177 BAO patients included in this study, 80 patients (45.2%) obtained favorable outcome and 97 patients (54.8%) had unfavorable outcome at long-term follow-up with a median observation time of 12 months (interquartile range, 3-19). A total of 67 patients (37.9%) died. National Institutes of Health Stroke Scale (NIHSS), posterior circulation Alberta Stroke Program Early Computed Tomography Score (pc-ASPECTS), time from stroke onset to recanalization, and recanalization condition were identified as independent predictors for long-term outcome. Over 40% of BAO patients who were treated with modern EVT achieved favorable outcome at long-term follow-up. NIHSS, pc-ASPECTS, time from stroke onset to recanalization, and recanalization condition were identified as independent prognostic factors of long-term outcome.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".