Evidence map›Paper›PMID 36398447›Full record

ArticleInterventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences2024

Modeling optimal patient transport in a stroke network capable of remote telerobotic endovascular therapy.

Charles Beaman, Jessalyn K Holodinsky, Mayank Goyal, Satoshi Tateshima, Michael D Hill, Jeffrey L Saver, Noreen Kamal

Abstract read
In one paragraph

Article in Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences, 2024. 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
0.6field-weighted citation impact, top 31% of its field
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, 4 citations in OpenAlex.

  1. In vitro comparison of manual and robotic endovascular thrombectomy for acute ischemic stroke.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2026
    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

7 authors at 3 institutions in 2 countries.

Charles BeamanDepartment of Neurology & David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.ORCID 0000-0001-5425-8849
Jessalyn K HolodinskyDepartment of Clinical Neurosciences, The University of Calgary, Calgary, Alberta, Canada.
Mayank GoyalDepartment of Clinical Neurosciences, The University of Calgary, Calgary, Alberta, Canada.ORCID 0000-0001-9060-2109
Satoshi TateshimaDivision of Interventional Neuroradiology, Department of Radiological Sciences & David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Michael D HillDepartment of Clinical Neurosciences, The University of Calgary, Calgary, Alberta, Canada.
Jeffrey L SaverDepartment of Neurology & David Geffen School of Medicine, UCLA, Los Angeles, CA, USA.
Noreen KamalDepartment of Industrial Engineering, Dalhousie University, Halifax, Nova Scotia, Canada.
University of Calgary · CAUniversity of California, Los Angeles · USDalhousie University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTelerobotic endovascular therapy (EVT) has the potential to decrease time to treatment and expand existing networks of care to more rural populations. It is currently unclear how its implementation would impact existing stroke networks.

methodsConditional probability models were generated to predict the probability of excellent outcome for patients with suspected large vessel occlusion (LVO). A baseline stroke network was created for California using existing intravenous thrombolysis (IVT) centers and comprehensive stroke centers (CSCs) capable of IVT and EVT. Optimal transport decisions and catchment areas were generated for the baseline model and three hypothetical scenarios through conversion of IVT centers at various distances from a CSC into centers capable of telerobotic EVT [i.e., hospitals ≥15 and <50 miles from a CSC were converted (Scenario 1), ≥50 and <100 miles (Scenario 2), and ≥100 miles (Scenario 3)]. Procedural times and success rates were varied systematically.

resultsTelerobotic EVT centers decreased median travel time for LVO patients in all three scenarios. The estimated number of robotically treated LVOs per year in Scenarios 1, 2, and 3 were 2,172, 740, and 212, respectively. Scenario 1 (15-50 miles) was the most sensitive to robotic time delay and success rate, but all three scenarios were more sensitive to decreases in procedural success rate compared to time delay.

conclusionsTelerobotic EVT has the potential to improve care for stroke patients outside of major urban centers. Compared to procedural time delays in robotic EVT, a decrease in procedural success rate would not be well tolerated.

Indexed as

Endovascular ProceduresStrokeCaliforniaHumansTelemedicineThrombolytic TherapyTime-to-TreatmentTransportation of Patientsroboticroboticsstrokestroke networkThrombectomy

Identifiers

PMID36398447
PMCPMC11475389
OpenAlexW4309362833

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.