Evidence map›Paper›PMID 25950111›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging

The Modern Clinical Neuroimager: Leading the Next Generation in Stroke.

David S Liebeskind

Abstract readEditorial
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

David S LiebeskindNeurovascular Imaging Research Core and the UCLA Stroke Center, Los Angeles, CA.

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 NS072272NINDS NIH HHS K24NS072272
6 · The paper itself

Abstract

The recent culmination of imaging-endowed endovascular stroke trials has decisively proven the utility of clinically relevant neuroimaging in improving the outcome of patients with potentially debilitating neurological disorders. These large multicenter trials conducted across several continents notably utilized a variety of multimodal CT/MRI modalities to rapidly identify a favorable collateral profile that presages clinically beneficial revascularization. The modern clinical neuroimager may accelerate complex decision-making through the rational use of a variety of imaging modalities and an active feedback loop of imaging at the bedside. The modern clinical neuroimager is often the initial care provider for a wide range or type of stroke patients from hemorrhage to ischemia, armed with the incredibly important aspects of clinical history and examination findings and best poised to utilize imaging to guide therapy from acute stroke to recovery and prevention. The next generation in stroke should not exclusively focus on whether to order a CT or MRI counting minutes at the bedside, but actively and efficiently integrate the vast wealth of information available when imaging is used in the proper clinical context. The novel endovascular era in stroke provides an ideal venue for the synergistic goals of translating research advances, improving patient outcomes and ongoing education as a modern neuroimager.

Indexed as

ForecastingCerebral AngiographyClinical Trials as TopicEvidence-Based MedicineHumansImage EnhancementMagnetic Resonance AngiographyStrokeTomography, X-Ray ComputedCTexpertiseMRINeuroimagingstroke

Identifiers

PMID25950111
PMCPMC4506245

What OpenQuestion holds

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LicenceTDM
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.