Evidence map›Paper›PMID 28066971›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2017

The Association between Diffusion MRI-Defined Infarct Volume and NIHSS Score in Patients with Minor Acute Stroke.

Shadi Yaghi, Charlotte Herber, Amelia K Boehme, Howard Andrews, Joshua Z Willey, Sara K Rostanski, Matthew Siket, Mahesh V Jayaraman, Ryan A McTaggart, Karen L Furie and 3 more

Abstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Determinants of post-stroke cognitive impairment in patients with periodontal disease.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2025
    Trial
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  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Tissue outcome prediction in hyperacute ischemic stroke: Comparison of machine learning models.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Observational
  16. Article
  17. Neuroimaging evolution of ischemia in men and women: an observational study.Annals of clinical and translational neurology · 2019
    Observational
  18. Article
  19. Article
  20. Observational
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

13 authors.

Shadi YaghiDivision of Stroke and Cerebrovascular Diseases, Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI.
Charlotte HerberDivision of Stroke and Cerebrovascular Diseases, Department of Neurology, Columbia University Medical Center, New York, NY.
Amelia K BoehmeDivision of Stroke and Cerebrovascular Diseases, Department of Neurology, Columbia University Medical Center, New York, NY.
Howard AndrewsDepartment of Epidemiology, The Mailman School of Public Health, Columbia University, New York, NY.
Joshua Z WilleyDivision of Stroke and Cerebrovascular Diseases, Department of Neurology, Columbia University Medical Center, New York, NY.
Sara K RostanskiDivision of Stroke and Cerebrovascular Diseases, Department of Neurology, Columbia University Medical Center, New York, NY.
Matthew SiketDepartment of Diagnostic Imaging, The Warren Alpert Medical School of Brown University, Providence, RI.
Mahesh V JayaramanDepartment of Emergency Medicine, The Warren Alpert Medical School of Brown University, Providence, RI.
Ryan A McTaggartDepartment of Emergency Medicine, The Warren Alpert Medical School of Brown University, Providence, RI.
Karen L FurieDivision of Stroke and Cerebrovascular Diseases, Department of Neurology, The Warren Alpert Medical School of Brown University, Providence, RI.
Randolph S MarshallDivision of Stroke and Cerebrovascular Diseases, Department of Neurology, Columbia University Medical Center, New York, NY.
Ronald M LazarDivision of Stroke and Cerebrovascular Diseases, Department of Neurology, Columbia University Medical Center, New York, NY.
Bernadette Boden-AlbalaDivision of Social Epidemiology, Department of Neurology, Global Institute of Public Health, NYU Langone Medical Center and Department of Epidemiology, College of Dentistry, New York University, New York, NY.

Funding

SWIFT: Stroke Warning Information and Faster TreatmentP50NS049060 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MOHR, JAY P · 2004 to 2013
$18.2M
Stroke Trials Network of Columbia and CornellU24NS107237 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI EDWARD SANDER CONNOLLY, Randolph S Marshall · 2018 to 2026
$3.1M
New York Stroke Trials Network of Columbia and Cornell (NYCCSTN)U10NS086728 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MARSHALL, RANDOLPH S · 2013 to 2017
$2.0M
NINDS NIH HHS P50 NS049060NINDS NIH HHS U10 NS086728NINDS NIH HHS U24 NS107237
6 · The paper itself

Abstract

backgroundPrior studies have shown a correlation between the National Institutes of Health Stroke Scale (NIHSS) and stroke volume on diffusion weighted imaging (DWI); data are more limited in patients with minor stroke. We sought to determine the association between DWI lesion(s) volume and the (1) total NIHSS score and (2) NIHSS component scores in patients with minor stroke.

methodsWe included all patients with minor stroke (NIHSS 0-5) enrolled in the Stroke Warning Information and Faster Treatment study. We calculated lesion(s) volume (cm

resultsWe identified 894 patients with a discharge diagnosis of minor stroke; 709 underwent magnetic resonance imaging and 510 were DWI positive. There was a graded relationship between the NIHSS score and median DWI lesion volume in cm

conclusionIn patients with minor stroke, the nature of deficit when used with the NIHSS score can improve prediction of infarct volume. This may have clinical and therapeutic implications.

Indexed as

AgedBrainBrain IschemiaDiffusion Magnetic Resonance ImagingFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedSeverity of Illness IndexStrokeinfarct volumeischemic strokeMinor strokeneuroimagingNIHSSoutcome

Identifiers

PMID28066971
PMCPMC5518742

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.