Evidence map›Paper›PMID 41586045›Full record

ReviewStroke (Hoboken, N.J.)2024

Computational Fluid Dynamics in Intracranial Atherosclerotic Disease.

Ahmad A Ballout, Grace Prochilo, Naoki Kaneko, Chuanlong Li, Ryan Apfel, Jason D Hinman, David S Liebeskind

Abstract readReview
In one paragraph

Review in Stroke (Hoboken, N.J.), 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. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. 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.

Ahmad A BalloutDepartment of Neurology Northwell Health and Donald and Barbara Zucker School of Medicine at Hofstra/Northwell Manhasset NY.
Grace ProchiloDepartment of Neurology The University of California Los Angeles CA.
Naoki KanekoDepartment of Radiology The University of California Los Angeles CA.
Chuanlong LiDepartment of Neurology The University of California Los Angeles CA.
Ryan ApfelDepartment of Neurology The University of California Los Angeles CA.
Jason D HinmanDepartment of Neurology The University of California Los Angeles CA.
David S LiebeskindDepartment of Neurology The University of California Los Angeles CA.ORCID https://orcid.org/0000-0002-5109-8736

Funding

Shear Stress and Endothelial Pathophysiology in Intracranial AtherosclerosisR01NS112799 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HINMAN, JASON D, LIEBESKIND, DAVID SIGMUND · 2020 to 2025
$3.8M
NINDS NIH HHS R01 NS112799
6 · The paper itself

Abstract

Recurrent stroke risk in intracranial atherosclerotic disease remains high despite aggressive medical therapy. While hemodynamic insufficiency appears to be a strong marker of stroke recurrence, natural history studies using various unimodal imaging modalities have shown mixed results, as they likely do not adequately capture the complex local hemodynamic environment generated by a focal stenosis. Computational fluid dynamics, a multimodal tool used to simulate fluid flow and the interactions between fluids and surfaces, has recently been used to illustrate the complex hemodynamic environment surrounding intracranial atherosclerotic lesions and to risk-stratify patients on the basis of simulated outputs. We aimed to summarize the literature pertaining to computational fluid dynamics use in intracranial atherosclerotic disease and to describe its future potential use in generating more targeted therapies.

Indexed as

computational fluid dynamicshemodynamicsintracranial atherosclerotic diseaseischemic stroke

Identifiers

PMID41586045
PMCPMC12778447

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.