Evidence map›Paper›PMID 24978637›Full record

ReviewCurrent opinion in neurology2014

MRI-guided selection of patients for treatment of acute ischemic stroke.

Richard Leigh, John W Krakauer

Abstract readReview
In one paragraph

Review in Current opinion in neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Observational
  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

2 authors.

Richard LeighaDepartments of Neurology and Radiology bDepartment of Neurology and Neuroscience, Johns Hopkins University, Baltimore, Maryland, USA.
John W Krakauer

Funding

Neural Basis of Lexical Deficits in Hyperacute StrokeR01DC005375 · NIDCD · JOHNS HOPKINS UNIVERSITY · PI Argye E. Hillis · 2002 to 2026
$11.8M
Using MRI to Understand Disease States that Occur at the Interface of the Brain and the Cerebral CirculationZIANS003151 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI LEIGH, RICHARD · 2015 to 2023
$6.8M
Neural Basis of Unilateral Spatial NeglectR01NS047691 · NINDS · JOHNS HOPKINS UNIVERSITY · PI HILLIS, ARGYE E. · 2004 to 2013
$3.2M
NIDCD NIH HHS R01 DC005375NIDCD NIH HHS R01DC05375NINDS NIH HHS R01 NS047691NINDS NIH HHS R01NS47691
6 · The paper itself

Abstract

purpose of reviewTo summarize what is known about the use of MRI in acute stroke treatment (predominantly thrombolysis), to examine the assumptions and theories behind the interpretation of magnetic resonance images of acute ischemic stroke and how they are used to select patients for therapies, and to suggest directions for future research. RECENT

findingsRecent studies have been contradictory about the usefulness of MRI in selecting patients for treatment. New MRI models for selecting patients have emerged that focus not only on the ischemic penumbra but also on the infarct core. Fixed time-window selection parameters are being replaced by timing-based individualized MRI stroke features. New ways to interpret traditional MRI stroke sequences are emerging. SUMMARY: Although the efficacy of acute stroke treatment is time dependent, the use of fixed time windows cannot account for individual differences in infarct evolution, which could potentially be detected with MRI. Although MRI shows promise for identifying patients who should be treated, as well as excluding patients who should not be treated, definitive evidence is still lacking. Future research should focus on validating the use of MRI to select patients for intravenous therapies in extended time windows.

Indexed as

Patient SelectionStrokeHumansIschemiaMagnetic Resonance Imaging

Identifiers

PMID24978637
PMCPMC4154317

What OpenQuestion holds

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Registered trials

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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.