Evidence map›Paper›PMID 38766366›Full record

ReviewDigital health

Telestroke network to robotic telestroke network: How to upgrade regional stroke care to include remote robotics?

Guillaume Charbonnier, Arturo Consoli, Louise Bonnet, Alessandra Biondi, Fabrice Vuillier, Kanty Rabenorosoa, Vitor Mendes Pereira, Thierry Moulin

Abstract readReview
In one paragraph

Review in Digital health. 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. Review
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

8 authors.

Guillaume CharbonnierCHU Besançon, Interventional Neuroradiology Department, Besançon, France.ORCID https://orcid.org/0000-0002-4425-3849
Arturo ConsoliInterventional Neuroradiology Department, Hôpital Foch, Paris, France.
Louise BonnetCHU Besançon, Neurology Department, Besançon, France.
Alessandra BiondiCHU Besançon, Interventional Neuroradiology Department, Besançon, France.
Fabrice VuillierCHU Besançon, Neurology Department, Besançon, France.
Kanty RabenorosoaSUPMICROTECH, CNRS, Institut FEMTO-ST, Besançon, France.
Vitor Mendes PereiraSt. Michael's Hospital Li Ka Shing Knowledge Institute, RADIS Lab, Toronto, ON, Canada.
Thierry MoulinCHU Besançon, Neurology Department, Besançon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Selected patients with large vessel occlusion (LVO) strokes can benefit from endovascular therapy (EVT). However, the effectiveness of EVT is largely dependent on how quickly the patient receives treatment. Recent technological developments have led to the first neurointerventional treatments using robotic assistance, opening up the possibility of performing remote stroke interventions. Existing telestroke networks provide acute stroke care, including remote administration of intravenous thrombolysis (IVT). Therefore, the introduction of remote EVT in distant stroke centers requires an adaptation of the existing telestroke networks. The aim of this work was to propose a framework for centers that are potential candidates for telerobotics according to the resources currently available in these centers. Methods: In this paper, we highlight the future challenges for including remote robotics in telestroke networks. A literature review provides potential solutions. Results: Existing telestroke networks need to determine which centers to prioritize for remote robotic technologies based on objective criteria and cost-effectiveness analysis. Organizational challenges include regional coordination and specific protocols. Technological challenges mainly concern telecommunication networks. Conclusions: Specific adaptations will be necessary if regional telestroke networks are to include remote robotics. Some of these can already be put in place, which could greatly help the future implementation of the technology.

Indexed as

diseaseendovascular treatmentroboticsstrokeTeleroboticstelestrokethrombectomy

Identifiers

PMID38766366
PMCPMC11100382

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.