Radially adjustable Tigertriever demonstrates higher reperfusion compared to self-expanding stent-retrievers during mechanical thrombectomy of large vessel occlusions: a systematic review and meta-analysis - Summary - MDSpire
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Radially adjustable Tigertriever demonstrates higher reperfusion compared to self-expanding stent-retrievers during mechanical thrombectomy of large vessel occlusions: a systematic review and meta-analysis
To systematically compare the efficacy and safety of Tigertriever with self-expanding stent retrievers (SE-SRs) in large vessel occlusion thrombectomy.
Approach:
Study Design: A systematic review and meta-analysis was conducted following PRISMA guidelines, including a search of multiple databases for studies comparing Tigertriever with SE-SRs.
Outcomes: Outcomes assessed included successful reperfusion, procedural adverse events, symptomatic intracranial hemorrhage, functional independence at 90 days, and all-cause mortality at 90 days.
Data Analysis: Odds ratios with 95% confidence intervals were pooled using the Mantel–Haenszel method, and risk of bias was assessed using ROBINS-I.
Key Findings:
Tigertriever achieved significantly higher successful reperfusion rates compared to SE-SRs (82.8% vs. 77.8%; OR 1.74 (1.07–2.83); p = 0.03).
There was a trend towards fewer procedural adverse events with Tigertriever, but it did not reach statistical significance (17.1% vs. 27.4%; OR 0.72 (0.44–1.16); p = 0.17).
Rates of symptomatic intracranial hemorrhage, functional independence at 90 days, and mortality at 90 days were similar between the two groups.
Interpretation:
Tigertriever is associated with higher reperfusion rates, while safety and functional outcomes appear comparable to SE-SRs.
Limitations:
Study-level heterogeneity.
Limited sample size.
Inconsistent procedural reporting.
Observational nature of included studies.
Conclusion:
Tigertriever may offer improved reperfusion rates in thrombectomy for large vessel occlusions.
by Zain Tariq, Faizan Shahzad, Noor E. Jannat, Tallal Mushtaq Hashmi, Sonesh Amin, Mohammad AlMajali, Qasim Bashir, Jeffrey L. Saver, Besher Shami, Amit Chaudhari
