Evidence map›Paper›PMID 31294898›Full record

ArticleJournal of magnetic resonance imaging : JMRI2020

Identifying cardiovascular risk factors that impact cerebrovascular reactivity: An ASL MRI study.

Salil Soman, Weiying Dai, Lucy Dong, Elizabeth Hitchner, Kyuwon Lee, Brittanie D Baughman, Samantha J Holdsworth, Payam Massaband, Jyoti V Bhat, Michael E Moseley and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% 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, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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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

13 authors at 8 institutions in 2 countries.

Salil SomanThe Department of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-5887-0717
Weiying DaiDepartment of Computer Science, State University of New York at Binghamton, Binghamton, New York, USA.
Lucy DongUniversity of California Los Angeles, Los Angeles, California, USA.
Elizabeth HitchnerDepartment of Pediatrics, Stanford University School of Medicine, Los Altos Hills, California, USA.
Kyuwon LeeBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Brittanie D BaughmanPalo Alto Veterans Affairs Health Care System, Palo Alto VAHCS, Palo Alto, California, USA.
Samantha J HoldsworthFaculty of Medical and Health Sciences, Division of Medical Science, University of Auckland, Auckland, New Zealand.
Payam MassabandStanford University School of Medicine, Department of Radiology, Palo Alto, California, USA.
Jyoti V BhatPalo Alto Veterans Affairs Health Care System, Palo Alto VAHCS, Palo Alto, California, USA.
Michael E MoseleyStanford University, Department of Radiology, Lucas Center for MR Spectroscopy and Imaging, Stanford, California, USA.
Allyson RosenDepartment of Behavioral Science and Psychiatry, Stanford University School of Medicine, Palo Alto, California, USA.
Wei ZhouDivision of Vascular Surgery, University of Arizona, Tucson, Arizona, USA.
Greg ZaharchukDepartment of Radiology, Stanford University School of Medicine, Stanford, California, USA.
Stanford University · USBeth Israel Deaconess Medical Center · USPalo Alto University · USVA Palo Alto Health Care System · USBinghamton University · USUniversity of Arizona · USUniversity of Auckland · NZUniversity of California, Los Angeles · US

Funding

Long-term Cognitive Effects of Microembolization Associated with Carotid StentingR01NS070308 · NINDS · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI KRAEMER, FREDRIC B., ZHOU, WEI · 2011 to 2015
$1.9M
Neuroimaging Correlates of Memory Decline Following Carotid InterventionsR21NS081416 · NINDS · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI ROSEN, ALLYSON C, ZHOU, WEI · 2012 to 2013
$368k
NINDS NIH HHS R01 NS070308NINDS NIH HHS R21 NS081416
6 · The paper itself

Abstract

backgroundTo maintain cerebral blood flow (CBF), cerebral blood vessels dilate and contract in response to blood supply through cerebrovascular reactivity (CR). PURPOSE: Cardiovascular (CV) disease is associated with increased stroke risk, but which risk factors specifically impact CR is unknown. STUDY TYPE: Prospective longitudinal. SUBJECTS: Fifty-three subjects undergoing carotid endarterectomy or stenting. FIELD STRENGTH/SEQUENCE: 3T, 3D pseudo-continuous arterial spin labeling (PCASL) ASL, and T ASSESSMENT: We evaluated group differences in CBF changes for multiple cardiovascular risk factors in patients undergoing carotid revascularization surgery. STATISTICAL TESTS: PRE (baseline), POST (48-hour postop), and 6MO (6 months postop) whole-brain CBF measurements, as 129 CBF maps from 53 subjects were modeled as within-subject analysis of variance (ANOVA). To identify CV risk factors associated with CBF change, the CBF change from PRE to POST, POST to 6MO, and PRE to 6MO were modeled as multiple linear regression with each CV risk factor as an independent variable. Statistical models were performed controlling for age on a voxel-by-voxel basis using SPM8. Significant clusters were reported if familywise error (FWE)-corrected cluster-level was P < 0.05, while the voxel-level significance threshold was set for P < 0.001.

resultsThe entire group showed significant (cluster-level P < 0.001) CBF increase from PRE to POST, decrease from POST to 6MO, and no significant difference (all voxels with P > 0.001) from PRE to 6MO. Of multiple CV risk factors evaluated, only elevated systolic blood pressure (SBP, P = 0.001), chronic renal insufficiency (CRI, P = 0.026), and history of prior stroke (CVA, P < 0.001) predicted lower increases in CBF PRE to POST. Over POST to 6MO, obesity predicted lower (P > 0.001) and cholesterol greater CBF decrease (P > 0.001). DATA

conclusionThe CV risk factors of higher SBP, CRI, CVA, BMI, and cholesterol may indicate altered CR, and may warrant different stroke risk mitigation and special consideration for CBF change evaluation. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 5 J. Magn. Reson. Imaging 2020;51:734-747.

Indexed as

Cardiovascular DiseasesBrainCerebrovascular CirculationHeart Disease Risk FactorsHumansMagnetic Resonance ImagingProspective StudiesRisk FactorsSpin LabelsSpin Labelsarterial spin labeling MRIcardiovascular risk factorscarotid revascularizationcerebral blood flowcerebrovascular reactivitystroke

Identifiers

PMID31294898
PMCPMC6954347
OpenAlexW2957030838

What OpenQuestion holds

Textmetadata
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.