Evidence map›Paper›PMID 24715885›Full record

ReviewFrontiers in neurology2014

Developing precision stroke imaging.

Edward Feldmann, David S Liebeskind

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. The Use of Deep Learning to Predict Stroke Patient Mortality.International journal of environmental research and public health · 2019
    Article
  3. Mapping the collaterome for precision cerebrovascular health: Theranostics in the continuum of stroke and dementia.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2018
    Review
  4. Article
  5. Pipeline for Analyzing Lesions After Stroke (PALS).Frontiers in neuroinformatics · 2018
    Article
  6. Toward precision medicine in neurological diseases.Annals of translational medicine · 2016
    Review
  7. Review
  8. Review
  9. Review
  10. The Modern Clinical Neuroimager: Leading the Next Generation in Stroke.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    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

2 authors at 2 institutions in 1 country.

Edward FeldmannTufts Medical Center , Boston, MA , USA.
David S LiebeskindUniversity of California Los Angeles Stroke Center , Los Angeles, CA , USA.
Tufts Medical Center · USUCLA Health · US

Funding

Modeling of Collateral Perfusion in the Ischemic BrainK24NS072272 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LIEBESKIND, DAVID SIGMUND · 2011 to 2015
$939k
NINDS NIH HHS K24 NS072272
6 · The paper itself

Abstract

Stroke experts stand at the cusp of a unique opportunity to advance the care of patients with cerebrovascular disorders across the globe through improved imaging approaches. NIH initiatives including the Stroke Progress Review Group promotion of imaging in stroke research and the newly established NINDS Stroke Trials network converge with the rapidly evolving concept of precision medicine. Precision stroke imaging portends the coming shift to individualized approaches to cerebrovascular disorders where big data may be leveraged to identify and manage stroke risk with specific treatments utilizing an improved neuroimaging infrastructure, data collection, and analysis. We outline key aspects of the stroke imaging field where precision medicine may rapidly transform the care of stroke patients in the next few years.

Indexed as

neuroimagingprecision medicinestroke

Identifiers

PMID24715885
PMCPMC3970034
OpenAlexW2022681470

What OpenQuestion 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 OpenQuestion graph.