Endovascular treatment versus standard medical treatment for acute basilar artery occlusion: protocol for a systematic review and meta-analysis
Bibliographic record
Abstract
Introduction Acute basilar artery occlusion (BAO) can cause posterior circulation stroke. There are two predominant therapies for BAO: standard medical treatment (SMT) and SMT plus endovascular thrombectomy (EVT). However, a conclusive systematic comparison of the safety and efficacy of SMT and those of SMT plus EVT for the treatment of BAO is lacking. Thus, a systematic review and meta-analysis is needed to evaluate the safety and efficacy of SMT and SMT plus EVT for the treatment of BAO. Methods and analysis This protocol is drafted referring to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Protocols guidelines. We will search eligible studies from four main databases including MEDLINE, Web of Science, Cochrane Library and Embase. Randomised controlled trials (RCTs) and observational studies published before 1 October 2020 will be included. Two reviewers in our team will conduct the study selection and data extraction independently. Risk of bias will be assessed by Cochrane Collaboration criteria and the Newcastle-Ottawa scale for RCTs and observational studies, respectively. We will assess the good functional outcomes defining the modified Rankin scale score ≤2 at 90 days after treatment, short-term stroke severity as National Institutes of Health Stroke Scale score at 24 hours after intervention, and successful recanalisation as a modified Thrombolysis in Cerebral Infarction scale score of ≥2b after intervention. Also, safety outcomes will be assessed. The performance of this meta-analysis will depend on the quantity of included studies. The assessment of study heterogeneity will be performed by the I 2 statistic. If there is mild heterogeneity (I 2 <20%) of intervention outcomes in included studies, the fixed-effect model will be applied; otherwise, the random-effect model will be performed. Subgroup analyses and an assessment of publication bias will also be conducted with sufficient data. Ethics and dissemination No collection of primary data from patients is needed. Therefore, the ethical approval is unnecessary. The results may be presented in a peer-reviewed journal and related conferences. PROSPERO registration number CRD42020176764.
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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 | 0.061 | 0.103 |
| Meta-epidemiology (narrow) | 0.006 | 0.005 |
| Meta-epidemiology (broad) | 0.024 | 0.036 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.045 | 0.004 |
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".