Evidence map›Paper›PMID 38164542›Full record

ReviewAJNR. American journal of neuroradiology2024

Intraluminal Flow Diverter Design Primer for Neurointerventionalists.

Alexander A Oliver, Yigit Can Senol, Cem Bilgin, Jeremy E Schaffer, Ramanathan Kadirvel, David F Kallmes, John M Wainwright

Abstract readReview
In one paragraph

Review in AJNR. American journal of neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
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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.

Alexander A OliverFrom the Department of Biomedical Engineering and Physiology (A.A.O., D.F.K.), Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota Oliver.Alexander@mayo.edu.ORCID 0000-0002-7283-2063
Yigit Can SenolDepartment of Neurologic Surgery (Y.C.S., R.K.), Mayo Clinic, Rochester, Minnesota.
Cem BilginDepartment of Radiology (A.A.O., C.B., R.K., D.F.K.), Mayo Clinic, Rochester, Minnesota.ORCID 0000-0003-1832-1278
Jeremy E SchafferFort Wayne Metals (J.E.S.), Fort Wayne, Indiana.
Ramanathan KadirvelDepartment of Radiology (A.A.O., C.B., R.K., D.F.K.), Mayo Clinic, Rochester, Minnesota.ORCID 0000-0002-6786-9953
David F KallmesFrom the Department of Biomedical Engineering and Physiology (A.A.O., D.F.K.), Mayo Clinic Graduate School of Biomedical Sciences, Rochester, Minnesota.ORCID 0000-0002-8495-0040
John M WainwrightMIVI Neuroscience (J.M.W.), Eden Prairie, Minnesota.

Funding

Computational and Biological Approach to Flow DiversionR01NS076491 · NINDS · MAYO CLINIC ROCHESTER · PI Juan R Cebral, DAVID F KALLMES · 2011 to 2026
$7.4M
Rapidly healing flow diverters using magnetic cell targeting for intracranial aneurysm treatmentR21NS128199 · NINDS · MEDICAL COLLEGE OF WISCONSIN · PI KADIRVEL, RAMANATHAN, TEFFT, BRANDON J · 2022 to 2023
$447k
NINDS NIH HHS R01 NS076491NINDS NIH HHS R21 NS128199
6 · The paper itself

Abstract

The clinical use of flow diverters for the treatment of intracranial aneurysms has rapidly grown. Consequently, the market and technology for these devices has also grown. Clinical performance characteristics of the flow diverter are well-known to the clinician. However, the engineering design principles behind how these devices achieve ideal clinical performance are less understood. This primer will summarize flow diverter design parameters for neurointerventionalists with the aim of promoting collaboration between clinicians and engineers.

Indexed as

Embolization, TherapeuticEndovascular ProceduresIntracranial AneurysmHumansStentsTreatment Outcome

Identifiers

PMID38164542
PMCPMC11288553

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.