Evidence map›Paper›PMID 41048991›Full record

ArticleJournal of neuroendovascular therapy2025

Preventing Embolization to a New Vascular Territory: An in Vitro Study Exploring Alternative Techniques for Dual-Stent-Retriever Cerebral Thrombectomy.

Gilbert Gravino, Ezekiel Dinama, Sanjeev Nayak, Ying Yang, Christine Roffe

Abstract read
In one paragraph

Article in Journal of neuroendovascular therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Gilbert GravinoSchool of Pharmacy and Bioengineering, Keele University, Stoke on Trent, UK.
Ezekiel DinamaSchool of Pharmacy and Bioengineering, Keele University, Stoke on Trent, UK.
Sanjeev NayakSchool of Pharmacy and Bioengineering, Keele University, Stoke on Trent, UK.
Ying YangSchool of Pharmacy and Bioengineering, Keele University, Stoke on Trent, UK.
Christine RoffeSchool of Pharmacy and Bioengineering, Keele University, Stoke on Trent, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Embolization of thrombus to a new vascular territory (ENT) is a feared and important complication of cerebral thrombectomy in acute ischemic stroke. This study explores the utilization of 2 simultaneous stent retrievers to prevent ENT, as well as its alternative setups. Methods: An in vitro glass model with a unilateral anterior cerebral vasculature was used to recreate a challenging scenario that intrinsically facilitates ENT. Four different thrombectomy techniques were tested and compared across a total of 50 in vitro procedures: Technique [1]-single stent retriever; Techniques [2] and [3]-dual stent retrievers with asymmetric and symmetric stent retrieval, respectively; and Technique [4]-dual stent retrievers combined with distal aspiration. The success rate and time to perform the procedures were compared using the Fisher's exact test and Mann-Whitney Results: The collective performance of dual-stent techniques [2 + 3 + 4] yielded successful recanalization on 1st pass without ENT in 24/30 cases (80%), which was statistically significantly better than the 8/20 (40%) achieved with the single-stent technique [1] ( Conclusion: Overall, the results suggest that applying dual stent retrievers performs better than the single-stent-retrieval technique in preventing ENT and achieving a single-pass procedure. Among all techniques, combining dual stent retrievers with aspiration through a distal catheter performed best.

Indexed as

acute stroke therapydual stentinterventionischemic strokethrombectomy

Identifiers

PMID41048991
PMCPMC12492306

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.