Evidence map›Paper›PMID 40663179›Full record

ArticleActa neurochirurgica2025

The NeVa Net stent-retriever - initial report of 20 cases from two high volume centres.

Pervinder Bhogal, Marco Mancuso-Marcello, Rory Fairhead, Nadia Shah, Keng Siang Lee, Christos Nikola, Katherine Parkin, Giovanna Klefti, Levansri Makalanda, Ken Wong and 5 more

Abstract readMulticenter Study
In one paragraph

Article in Acta neurochirurgica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

15 authors.

Pervinder BhogalDepartment of Interventional Neuroradiology, The Royal London Hospital, Whitechapel Road, London, E1 1BB, UK.
Marco Mancuso-MarcelloDepartment of Interventional Neuroradiology, The Royal London Hospital, Whitechapel Road, London, E1 1BB, UK.ORCID http://orcid.org/0000-0001-9412-9099
Rory FairheadDepartment of Interventional Neuroradiology, The Royal London Hospital, Whitechapel Road, London, E1 1BB, UK.ORCID http://orcid.org/0000-0001-7157-3015
Nadia ShahThe London School of Medicine and Dentistry, Queen Mary University, Turner Street, London, UK.
Keng Siang LeeDepartment of Basic and Clinical Neurosciences, Maurice Wohl Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience (IoPPN), King's College London, London, UK. kengsiang.lee1@nhs.net.ORCID http://orcid.org/0000-0003-2308-0579
Christos NikolaDepartment of Stroke, The Royal London Hospital, Whitechapel Road, London, UK.
Katherine ParkinDepartment of Interventional Neuroradiology, The Royal London Hospital, Whitechapel Road, London, E1 1BB, UK.
Giovanna KleftiDepartment of Interventional Neuroradiology, The Royal London Hospital, Whitechapel Road, London, E1 1BB, UK.
Levansri MakalandaDepartment of Interventional Neuroradiology, The Royal London Hospital, Whitechapel Road, London, E1 1BB, UK.
Ken WongDepartment of Interventional Neuroradiology, The Royal London Hospital, Whitechapel Road, London, E1 1BB, UK.
Joe LansleyDepartment of Interventional Neuroradiology, The Royal London Hospital, Whitechapel Road, London, E1 1BB, UK.
Michael PrzyszlakDepartment of Interventional Neuroradiology, The Royal London Hospital, Whitechapel Road, London, E1 1BB, UK.
Oliver SpoonerDepartment of Stroke, The Royal London Hospital, Whitechapel Road, London, UK.
Branimir ČuloDepartment of Interventional Neuroradiology, UHC Sisters of Mercy, Zagreb, Croatia.
Vladimir KalousekDepartment of Interventional Neuroradiology, UHC Sisters of Mercy, Zagreb, Croatia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVarious different technologies have been developed to optimise the mechanical thrombectomy procedure and first pass recanalisation. We report our initial experience with the NeVa NET - a novel stent-retriever with built in distal microfiltration net. MATERIALS AND

methodsWe performed a retrospective review of our prospectively maintained databases to identify all patients treated with the NeVa NET 4 × 30 mm device. We recorded the baseline demographics, NIHSS, ASPECT score and clot characteristics, first pass and final eTICI scores, complications and 90 day mRS.

resultsWe identified 20 patients (50% male), average age 67.9 ± 16.2 yrs, and median NIHSS 18 (range 6-29). 30% of patients received tPA. Average clot length was 21.6 ± 8.9 mm and median ASPECT score 9 (range 5-10). In 18 cases the NeVa NET could be tracked into position, however, in 2 cases it could not be tracked into position within the 0,021inch microcatheter. First pass recanalization (eTICI ≥ 2c) was seen in 94% (n = 17) and the average number of NeVa NET passes was 1. A final eTICI score of ≥ 2c was achieved in 17 patients (94%). There were no emboli to new territories. No cases of vessel rupture or dissections occured due to the NeVa NET. 50% of patients achieved mRS 0-2. SAH was seen in 31.3% and SICH in 6.3% of the 16 patients for whom a 24 h CT head was available.

conclusionThe NeVa Net stent-retriever is uniquely designed to prevent distal embolisation and our initial experience demonstrates a very high FPE and mFPE. We believe this is the first publication on the use of this novel technology and larger studies are warranted.

Indexed as

StentsThrombectomyAgedAged, 80 and overFemaleHospitals, High-VolumeHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeFirst pass effectLarge vessel occlusionMechanical thrombectomyMicrofilterNeVa NETStroke

Identifiers

PMID40663179
PMCPMC12263757

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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.