Evidence map›Paper›PMID 26572141›Full record

ArticleNeurocritical care2016

MRI Detection of Cerebral Infarction in Subarachnoid Hemorrhage.

Georgia Korbakis, Shyam Prabhakaran, Sayona John, Rajeev Garg, James J Conners, Thomas P Bleck, Vivien H Lee

Abstract read
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Article in Neurocritical care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Predictive factors for improvement of symptomatic cerebral vasospasm following subarachnoid hemorrhage by selective intra-arterial administration of fasudil hydrochloride.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025
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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

7 authors at 3 institutions in 1 country.

Georgia KorbakisDepartment of Neurosurgery, University of California Los Angeles, 757 Westwood Blvd Room 6236, Los Angeles, CA, 90095, USA. georgiakorbakis@gmail.com.
Shyam PrabhakaranDepartment of Neurology, Northwestern University Feinberg School of Medicine, 303 E Chicago Ave, Chicago, IL, 60611, US.
Sayona JohnSection of Neurocritical Care, Department of Neurological Sciences, Rush University Medical Center, 1725 West Harrison Street #1121, Chicago, IL, 60612, US.
Rajeev GargSection of Neurocritical Care, Department of Neurological Sciences, Rush University Medical Center, 1725 West Harrison Street #1121, Chicago, IL, 60612, US.
James J ConnersSection of Cerebrovascular Disease, Department of Neurological Sciences, Rush University Medical Center, 1725 West Harrison Street #1121, Chicago, IL, 60612, US.
Thomas P BleckSection of Neurocritical Care, Department of Neurological Sciences, Rush University Medical Center, 1725 West Harrison Street #1121, Chicago, IL, 60612, US.
Vivien H LeeSection of Cerebrovascular Disease, Department of Neurological Sciences, Rush University Medical Center, 1725 West Harrison Street #1121, Chicago, IL, 60612, US.
Rush University Medical Center · USNorthwestern University · USUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate magnetic resonance imaging (MRI) detection of cerebral infarction (CI) in patients presenting with subarachnoid hemorrhage (SAH).

backgroundCI is a well-known complication of SAH that is typically detected on computed tomography (CT). MRI has improved sensitivity for acute CI over CT, particularly with multiple, small, or asymptomatic lesions.

methodsWith IRB approval, 400 consecutive SAH patients admitted to our institution from August 2006 to March 2011 were retrospectively reviewed. Traumatic SAH and secondary SAH were excluded. Data were collected on demographics, cause of SAH, Hunt Hess and World Federation of Neurosurgical Societies grades, and neuroimaging results. MRIs were categorized by CI pattern as single cortical (SC), single deep (SD), multiple cortical (MC), multiple deep (MD), and multiple cortical and deep (MCD).

resultsAmong 123 (30.8 %) SAH patients who underwent MRIs during their hospitalization, 64 (52 %) demonstrated acute CI. The mean time from hospital admission to MRI was 5.7 days (range 0-29 days). Among the 64 patients with MRI infarcts, MRI CI pattern was as follows: MC in 20 (31 %), MCD in 18 (28 %), SC in 16 (25 %), SD in 3 (5 %), MD in 2 (3 %), and 5 (8 %) did not have images available for review. Most infarcts detected on MRI (39/64 or 61 %) were not visible on CT.

conclusionsThe use of MRI increases the detection of CI in SAH. Unlike CT studies, MRI-detected CI in SAH tends to involve multiple vascular territories. Studies that rely on CT may underestimate the burden of CI after SAH.

Indexed as

AdultAgedAged, 80 and overCerebral InfarctionFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesSubarachnoid HemorrhageYoung AdultCerebral angiographyCerebral infarctionDelayed cerebral ischemiaMRISubarachnoid hemorrhage

Identifiers

PMID26572141
OpenAlexW2249154934

What OpenQuestion holds

Textmetadata
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.