Evidence map›Paper›PMID 29797614›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2018

Comparative Analysis of Markers of Mass Effect after Ischemic Stroke.

Ann-Christin Ostwaldt, Thomas W K Battey, Hannah J Irvine, Bruce C V Campbell, Stephen M Davis, Geoffrey A Donnan, W Taylor Kimberly

Abstract readComparative Study
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. The value of electroencephalography features in the prognostic evaluation of large hemispheric infarction patients at different time intervals.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  5. Article
  6. Analysis of brain edema in RHAPSODY.International journal of stroke : official journal of the International Stroke Society · 2024
    Article
  7. Review
  8. Observational
  9. Review
  10. Article
  11. Article
  12. Article
  13. SUR1-TRPM4 channels, not KNeuroscience letters · 2020
    Review
  14. Imaging biomarkers of cerebral edema automatically extracted from routine CT scans of large vessel occlusion strokes.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

7 authors.

Ann-Christin OstwaldtCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA.ORCID 0000-0002-3210-8513
Thomas W K BatteyCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
Hannah J IrvineCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA.
Bruce C V CampbellDepartment of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia.
Stephen M DavisDepartment of Medicine, Royal Melbourne Hospital, University of Melbourne, Parkville, Victoria, Australia.
Geoffrey A DonnanFlorey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia.
W Taylor KimberlyCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA.

Funding

Metabolomic predictors of stroke in REGARDSR01NS099209 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI KIMBERLY, WILLIAM TAYLOR · 2017 to 2021
$2.4M
Metabolomic analysis of acute stress hyperglycemia in ischemic strokeK23NS076597 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI KIMBERLY, WILLIAM TAYLOR · 2011 to 2015
$959k
American Heart Association-American Stroke Association 14GRNT19060044NINDS NIH HHS K23 NS076597NINDS NIH HHS K23NS076597NINDS NIH HHS R01 NS099209
6 · The paper itself

Abstract

background and purposeMidline shift determined on magnetic resonance imaging (MRI) or computed tomography (CT) images is a well-validated marker of mass effect after large hemispheric infarction and associated with mortality. In this study, we targeted a population with moderately sized strokes. We compared midline shift to other imaging markers and determined their ability to predict long-term outcome.

methodsMRI scans were studied from the Echoplanar Imaging Thrombolysis Evaluation Trial (EPITHET) cohort. Midline shift, acute stroke lesion volume, lesional swelling volume, change in ipsilateral hemisphere volume, the ratio of ipsilateral to contralateral hemisphere volume, and the reduction in lateral ventricle volume were measured. The relationships of these markers with poor outcome (modified Rankin scale score 3-6 at day 90) were assessed. Receiver-operating characteristic (ROC) curves were generated to compare the performance of each metric.

resultsOf the 71 included patients, 59.2% had a poor outcome that was associated with significantly larger values for midline shift, lesional swelling volume, and ratio of hemisphere volumes. Lesional swelling volume, change in hemisphere volume, ratio of hemisphere volumes, and lateral ventricle displacement were each correlated with midline shift (Spearman r = .60, .49, .61, and -.56, respectively; all P < .0001). ROC curve analysis showed that lesional swelling volume (area under the curve [AUC] = .791) predicted poor outcome better than midline shift (AUC = .682). For predicting mortality, ROC curve analysis showed that these three markers were equivalent.

conclusionThe ratio of ipsilateral to contralateral hemisphere volume, baseline lesion volume and lesional swelling volume best predicted poor outcome across a spectrum of stroke sizes.

Indexed as

Magnetic Resonance ImagingTomography, X-Ray ComputedAgedAged, 80 and overBiomarkersBrain IschemiaFemaleHumansMaleMiddle AgedPrognosisStrokeSurvival RateTime FactorsBiomarkersbrain edemaIschemiamagnetic resonance imagingmass effectstroke

Identifiers

PMID29797614
PMCPMC6156990

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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.