Evidence map›Paper›PMID 35981809›Full record

ArticleStroke and vascular neurology2023

Improving detection of cerebral small vessel disease aetiology in patients with isolated lobar intracerebral haemorrhage.

Alvin S Das, Elif Gokcal, Robert W Regenhardt, Mitchell J Horn, Kristin Schwab, Nader Daoud, Anand Viswanathan, W Taylor Kimberly, Joshua N Goldstein, Alessandro Biffi and 5 more

Open access · goldAbstract read
In one paragraph

Article in Stroke and vascular neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  4. Hypertension control after intracerebral hemorrhage among varying small vessel disease etiologies.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
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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

15 authors at 2 institutions in 1 country.

Alvin S DasDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0003-2313-977X
Elif GokcalDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Robert W RegenhardtDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0003-2958-3484
Mitchell J HornDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Kristin SchwabDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Nader DaoudDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Anand ViswanathanDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
W Taylor KimberlyDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0002-2519-8530
Joshua N GoldsteinDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Alessandro BiffiDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID http://orcid.org/0000-0001-7063-455X
Natalia RostDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Jonathan RosandDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Lee H SchwammDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Steven M GreenbergDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.
M Edip GurolDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA MEGUROL@mgh.harvard.edu.
Harvard University · USBeth Israel Deaconess Medical Center · US

Funding

Molecular and Physiological Mechanisms of Hypertensive Cerebral MicroangiopathyR01NS114526 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI GUROL, MAHMUT EDIP · 2020 to 2024
$4.4M
Molecular Neuroimaging of Disease Mechanisms in Cerebral Amyloid AngiopathyK23NS083711 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI GUROL, MAHMUT EDIP · 2014 to 2018
$988k
NINDS NIH HHS K23 NS083711NINDS NIH HHS R01 NS114526
6 · The paper itself

Abstract

background and purposeWe evaluate whether non-haemorrhagic imaging markers (NHIM) (white matter hyperintensity patterns, lacunes and enlarged perivascular spaces (EPVS)) can discriminate cerebral amyloid angiopathy (CAA) from hypertensive cerebral small vessel disease (HTN-cSVD) among patients with isolated lobar intracerebral haemorrhage (isolated-LICH).

methodsIn patients with isolated-LICH, four cSVD aetiologic groups were created by incorporating the presence/distribution of NHIM: HTN-cSVD pattern, CAA pattern, mixed NHIM and no NHIM. CAA pattern consisted of patients with any combination of severe centrum semiovale EPVS, lobar lacunes or multiple subcortical spots pattern. HTN-cSVD pattern consisted of any HTN-cSVD markers: severe basal ganglia PVS, deep lacunes or peribasal ganglia white matter hyperintensity pattern. Mixed NHIM consisted of at least one imaging marker from either pattern. Our hypothesis was that patients with HTN-cSVD pattern/mixed NHIM would have a higher frequency of left ventricular hypertrophy (LVH), which is associated with HTN-cSVD.

resultsIn 261 patients with isolated-LICH, CAA pattern was diagnosed in 93 patients, HTN-cSVD pattern in 53 patients, mixed NHIM in 19 patients and no NHIM in 96 patients. The frequency of LVH was similar among those with HTN-cSVD pattern and mixed NHIM (50% vs 39%, p=0.418) but was more frequent in HTN-cSVD pattern compared with CAA pattern (50% vs 20%, p<0.001). In a regression model, HTN-cSVD pattern (OR: 7.38; 95% CI 2.84 to 19.20) and mixed NHIM (OR: 4.45; 95% CI 1.25 to 15.90) were found to be independently associated with LVH.

conclusionAmong patients with isolated-LICH, NHIM may help differentiate HTN-cSVD from CAA, using LVH as a marker for HTN-cSVD.

Indexed as

Cerebral Amyloid AngiopathyCerebral Small Vessel DiseasesHypertensionCerebral HemorrhageCorpus CallosumHumansMagnetic Resonance Imagingcerebrovascular disordershemorrhageMagnetic Resonance ImagingStroke

Identifiers

PMID35981809
PMCPMC9985798
OpenAlexW4293827881

What OpenQuestion holds

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LicenceCC BY-NC
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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.