OBJECTIVE: The efficacy of endovascular thrombectomy (EVT) for acute vertebrobasilar artery occlusion (VBAO) presenting with mild symptoms (National Institutes of Health Stroke Scale NIHSS score ≤10) remains uncertain. This meta-analysis aimed to compare the effectiveness and safety of EVT versus best medical therapy (BMT) in this population. METHODS: We systematically searched PubMed, Embase, and the Cochrane Central Register of Controlled Trials from inception to September 2025 for comparative studies. The primary outcome was 90-day excellent functional outcome (modified Rankin Scale mRS score 0-1). Secondary outcomes included functional independence (mRS 0-2), symptomatic intracranial hemorrhage (sICH), and all-cause mortality. Pooled odds ratios (OR) with 95% confidence intervals (CI) were calculated using a random-effects model. RESULTS: Seven observational studies involving 3,107 patients were included. In unadjusted analyses, EVT was associated with a higher rate of excellent functional outcome (OR 2.17; 95% CI 1.58-2.96) but not with functional independence (OR 1.58; 95% CI 0.90-2.77). After adjustment for confounders, EVT was associated with higher rate of excellent functional outcome (OR 2.86; 95% CI 1.89-4.31) and functional independence (OR 1.91; 95% CI 1.01-3.62). Safety outcomes including sICH and mortality did not differ significantly between groups. CONCLUSION: In patients with acute VBAO and mild symptoms, EVT may be associated with superior functional outcomes compared to BMT alone, without a significant increase in procedural risks. These findings suggest a potential role for EVT in selected patients with low NIHSS scores and underscore the need for confirmation in randomized trials.
Building similarity graph...
Analyzing shared references across papers
Loading...
Yaqin Qin
Fuyang City People's Hospital
Zhuo Min
Army Medical University
Guangxin Sun
Fuyang City People's Hospital
Annals of Medicine
Army Medical University
Daping Hospital
Fuyang City People's Hospital
Building similarity graph...
Analyzing shared references across papers
Loading...
Qin et al. (Sat,) studied this question.
synapsesocial.com/papers/6a0bfdc7166b51b53d379059 — DOI: https://doi.org/10.1080/07853890.2026.2673631