Evidence map›Paper›PMID 35295566›Full record

ArticleFrontiers in physiology2022

Patient-Specific Modeling Could Predict Occurrence of Pediatric Stroke.

John D Horn, Michael J Johnson, Zbigniew Starosolski, Avner Meoded, Dianna M Milewicz, Ananth Annapragada, Shaolie S Hossain

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Image-guided subject-specific modeling of glymphatic transport and amyloid deposition.Computer methods in applied mechanics and engineering · 2023
    Article
  4. 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 4 institutions in 1 country.

John D HornMolecular Cardiology Research Laboratory, Texas Heart Institute, Houston, TX, United States.
Michael J JohnsonOden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, United States.
Zbigniew StarosolskiTranslational Imaging Group, Texas Children's Hospital, Houston, TX, United States.
Avner MeodedTranslational Imaging Group, Texas Children's Hospital, Houston, TX, United States.
Dianna M MilewiczDepartment of Internal Medicine, McGovern Medical School, University of Texas Health Science Center, Houston, TX, United States.
Ananth AnnapragadaTranslational Imaging Group, Texas Children's Hospital, Houston, TX, United States.
Shaolie S HossainMolecular Cardiology Research Laboratory, Texas Heart Institute, Houston, TX, United States.
Texas Children's Hospital · USThe University of Texas at Austin · USBaylor College of Medicine · USThe University of Texas Health Science Center at Houston · US

Funding

A Patient-Specific Analysis Framework for Assessing Stroke Risk in Pediatric Moyamoya DiseaseR03NS110442 · NINDS · TEXAS HEART INSTITUTE · PI HOSSAIN, SHAOLIE SAMIRA · 2018 to 2019
$163k
NINDS NIH HHS R03 NS110442
6 · The paper itself

Abstract

Moyamoya disease (MMD) is a progressive steno-occlusive cerebrovascular disease leading to recurrent stroke. There is a lack of reliable biomarkers to identify unilateral stroke MMD patients who are likely to progress to bilateral disease and experience subsequent contralateral stroke(s). We hypothesized that local hemodynamics are predictive of future stroke and set out to noninvasively assess this stroke risk in pediatric MMD patients. MR and X-ray angiography imaging were utilized to reconstruct patient-specific models of the circle of Willis of six pediatric MMD patients who had previous strokes, along with a control subject. Blood flow simulations were performed by using a Navier-Stokes solver within an isogeometric analysis framework. Vascular regions with a wall shear rate (WSR) above the coagulation limit (>5,000 s

Indexed as

cerebrovascularcomputational fluid dynamicshemodynamicsisogeometric analysismoyamoyaMRIstroke riskwall shear rate score

Identifiers

PMID35295566
PMCPMC8920501
OpenAlexW4214626018

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.