Evidence map›Paper›PMID 25997980›Full record

ArticleJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association2015

Magnetic Resonance Imaging in Acute Ischemic Stroke Patients with Mild Symptoms: An Opportunity to Standardize Intravenous Thrombolysis.

Tyler A Brown, Marie Luby, Jignesh Shah, Dimitrios Giannakidis, Lawrence L Latour

Abstract read
In one paragraph

Article in Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2015. 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
1.1field-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.

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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

5 authors at 2 institutions in 1 country.

Tyler A BrownStroke Diagnostics and Therapeutics Branch, National Institute of Neurological Diseases and Stroke, National Institutes of Health, Bethesda, Maryland.
Marie LubyStroke Diagnostics and Therapeutics Branch, National Institute of Neurological Diseases and Stroke, National Institutes of Health, Bethesda, Maryland.
Jignesh ShahStroke Diagnostics and Therapeutics Branch, National Institute of Neurological Diseases and Stroke, National Institutes of Health, Bethesda, Maryland.
Dimitrios GiannakidisStroke Diagnostics and Therapeutics Branch, National Institute of Neurological Diseases and Stroke, National Institutes of Health, Bethesda, Maryland.
Lawrence L LatourStroke Diagnostics and Therapeutics Branch, National Institute of Neurological Diseases and Stroke, National Institutes of Health, Bethesda, Maryland. Electronic address: LatourL@ninds.nih.gov.
National Institutes of Health · USNational Institute of Neurological Disorders and Stroke · US

Funding

CLINICAL AND IMAGING CORE SUPPORT OF ACUTE STROKE RESEARCHZICNS003044 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI LATOUR, LAWRENCE · 2015 to 2025
$32.8M
CLINICAL, IMAGING, AND EXPERIMENTAL CORE SUPPORT OF ACUTE STROKE RESEARCHZIANS003044 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI LATOUR, LAWRENCE · 2009 to 2014
$24.9M
NOVEL INSIGHTS INTO CEREBRAL ISCHEMIC PATHOPHYSIOLOGY IN HUMANSZIANS003043 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI LATOUR, LAWRENCE · 2009 to 2025
$19.5M
Intramural NIH HHS Z99 NS999999Intramural NIH HHS ZIA NS003043Intramural NIH HHS ZIA NS003044PHS HHS 1ZIANS003044-08
6 · The paper itself

Abstract

backgroundPatients presenting with mild stroke symptoms are excluded inconsistently from intravenous (IV) thrombolysis. We aimed to compare acute magnetic resonance imaging findings in patients with mild symptoms to those with more severe deficits to identify clinically mild patients who might benefit from IV thrombolysis.

methodsWe retrospectively studied consecutive stroke patients presenting with perfusion deficit who underwent time-of-flight magnetic resonance angiography within 24 hours of time last seen normal. Two raters measured the lesion volumes on diffusion-weighted imaging (DWI) and perfusion-weighted imaging (PWI) with mismatch (MM) calculated as PWI minus DWI. Occlusion site was categorized as "proximal," "distal," or "magnetic resonance angiography-negative" by consensus review. Stroke with mild symptoms was defined as admit National Institutes of Health Stroke Scale score of 4 or less. Values were reported as n (%).

resultsNinety-one patients were included; 56 (61.5%) with nonmild and 35 (38.5%) with mild symptoms. After stratifying for occlusion site, there were no differences in PWI and MM lesion volumes for the nonmild versus mild patients (P = .34-.98 and P = .54-1, respectively). Furthermore, there was a trend for thrombolyzed mild stroke patients (88%, n = 7 of 8) to more likely have a favorable clinical outcome (discharge modified Rankin score ≤ 2) versus untreated patients (70%, n = 16 of 23).

conclusionsWhen present, conspicuous vessel occlusions in clinically mild stroke patients are concomitant with similar perfusion deficit and MM volumes in more clinically severe stroke patients. Coupled with a trend toward better outcomes in mild stroke patients who were treated with IV tissue plasminogen activator (t-PA), this could indicate that advanced imaging may be used in standardizing the way these patients are selected for IV t-PA therapy.

Indexed as

AgedAged, 80 and overBrain IschemiaDiffusion Magnetic Resonance ImagingFemaleHumansMagnetic Resonance AngiographyMaleMiddle AgedRetrospective StudiesStatistics, NonparametricStrokeThrombolytic TherapyTomography, X-Ray ComputedDWIinfarctionMild strokeminor strokePWIvolumetric MRI

Identifiers

PMID25997980
PMCPMC4532621
OpenAlexW1752055547

What OpenQuestion holds

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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.