Evidence map›Paper›PMID 30630754›Full record

ArticleJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association2019

Pre-existing White Matter Hyperintensity Lesion Burden and Diagnostic Certainty of Transient Ischemic Attack.

Muhammad Nagy, Muhammad U Azeem, Youssef Soliman, Sahil A Nawab, Adalia H Jun-O'Connell, Richard P Goddeau, Majaz Moonis, Brian Silver, Nils Henninger

Abstract read
In one paragraph

Article in Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association, 2019. 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
0.5field-weighted citation impact, top 35% 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, 3 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

9 authors at 2 institutions in 1 country.

Muhammad NagyDepartment of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts.
Muhammad U AzeemDepartment of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts.
Youssef SolimanDepartment of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts.
Sahil A NawabDepartment of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts; Department of Biochemistry, Worcester Polytechnic Institute, Worcester, Massachusetts.
Adalia H Jun-O'ConnellDepartment of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts.
Richard P GoddeauDepartment of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts.
Majaz MoonisDepartment of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts.
Brian SilverDepartment of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts.
Nils HenningerDepartment of Neurology, University of Massachusetts Medical School, Worcester, Massachusetts; Department of Psychiatry, University of Massachusetts Medical School, Worcester, Massachusetts. Electronic address: nils.henninger@umassmed.edu.
University of Massachusetts Chan Medical School · USWorcester Polytechnic Institute · US

Funding

Inhibiting axon degeneration in a mouse model of acute brain injury through deletion of Sarm1K08NS091499 · NINDS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI HENNINGER, NILS · 2016 to 2020
$919k
NINDS NIH HHS K08 NS091499
6 · The paper itself

Abstract

goalsThere are no validated biomarkers that allow for reliable distinction between TIA and other transient neurological symptoms that mimic TIA. We sought to determine whether the degree of pre-existing white matter hyperintensity (WMH) lesion burden relates to the diagnostic certainty of TIA in a cohort of patients presenting with transient neurological symptoms. MATERIALS AND

methodsWe retrospectively analyzed 144 consecutive patients with available brain MRI to quantify and normalize the WMH volume for brain atrophy (adjusted white matter hyperintensity [aWMHV]). We first stratified subjects to probable (n = 62) versus possible (n = 82) TIA as per existing guidelines. Receiver-operating characteristic curves were used to determine a critical aWMHV-threshold (7.8 mL) that best differentiated probable from possible TIA. We then further stratified patients with possible TIA to likely (n = 52) versus unlikely (n = 30) TIA after independent chart review and adjudication. Finally, multivariable logistic and multinomial regression was used to determine whether the defined aWMHV independently related to probable and likely TIA after adjustment for pertinent confounders.

findingsWith the exception of age (P < .001) and use of antiplatelets (P = .017), baseline characteristics were similar between patients with probable, likely, and unlikely TIA. In the fully adjusted multinomial model, the aWMHV cut-off greater than 7.8 mL (odds ratio 3.8, 95% confidence interval 1.3-10.9, P = .012) was significantly more frequent in patients with a probable TIA as compared to those with an unlikely TIA diagnosis.

conclusionsWe provide proof-of-principle that WMH may serve as a neuroimaging marker of diagnostic certainty of TIA after neurological workup has been completed.

Indexed as

Magnetic Resonance ImagingAdultAgedDiagnosis, DifferentialFemaleHumansIschemic Attack, TransientLeukoencephalopathiesMaleMiddle AgedNeurologic ExaminationPredictive Value of TestsReproducibility of ResultsRetrospective StudiesRisk FactorsSeverity of Illness IndexDiagnosismagnetic resonant imagingstroke mimictransient ischemic attackwhite matter hyperintensity

Identifiers

PMID30630754
PMCPMC6441369
OpenAlexW2908550448

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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.