Evidence map›Paper›PMID 31668489›Full record

ArticleNeuroImage. Clinical2020

Arterial stiffness cut-off value and white matter integrity in the elderly.

Atef Badji, Adrián Noriega de la Colina, Agah Karakuzu, Tanguy Duval, Laurence Desjardins-Crépeau, Matthieu Parizet, Sven Joubert, Louis Bherer, Maxime Lamarre-Cliche, Nikola Stikov and 2 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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  7. Vascular and microstructural markers of cognitive pathology.Alzheimer's & dementia (Amsterdam, Netherlands) · 2022
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  9. Review
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

12 authors at 5 institutions in 2 countries.

Atef BadjiNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, H3T1J4 Montréal, QC, Canada; Centre de recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), H3W1W5 Montréal, QC, Canada; Department of Neurosciences, Faculty of Medicine, Université de Montréal, H3C3J7 Montréal, QC, Canada.
Adrián Noriega de la ColinaCentre de recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), H3W1W5 Montréal, QC, Canada; Department of Biomedical Sciences, Faculty of Medicine, Université de Montréal, H3C3J7, Montréal, QC, Canada.
Agah KarakuzuNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, H3T1J4 Montréal, QC, Canada; Montreal Heart Institute, H1T1C8 Montréal, QC, Canada.
Tanguy DuvalNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, H3T1J4 Montréal, QC, Canada.
Laurence Desjardins-CrépeauCentre de recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), H3W1W5 Montréal, QC, Canada.
Matthieu ParizetNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, H3T1J4 Montréal, QC, Canada; Department de Mathématiques et Applications, Faculté de sciences et d'ingénierie, Sorbonne Université, Paris, France.
Sven JoubertCentre de recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), H3W1W5 Montréal, QC, Canada; Department of Psychology, Faculty of Arts and Sciences, Université de Montréal, H3C3J7 Montréal, QC, Canada.
Louis BhererCentre de recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), H3W1W5 Montréal, QC, Canada; Department of Medicine, Faculty of Medicine, Université de Montréal,H3C3J7 Montréal, QC, Canada; Montreal Heart Institute, H1T1C8 Montréal, QC, Canada.
Maxime Lamarre-ClicheInstitut de Recherches Cliniques de Montréal, Université de Montréal, H2W1R7 Montréal, QC, Canada.
Nikola StikovNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, H3T1J4 Montréal, QC, Canada; Montreal Heart Institute, H1T1C8 Montréal, QC, Canada.
Julien Cohen-AdadNeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, H3T1J4 Montréal, QC, Canada; Centre de recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), H3W1W5 Montréal, QC, Canada.
Hélène GirouardCentre de recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), H3W1W5 Montréal, QC, Canada; Department of Pharmacology and Physiology, Faculty of Medicine, Université de Montréal, H3C3J7 Montréal, QC, Canada. Electronic address: helene.girouard@umontreal.ca.
Institut Universitaire de Gériatrie de Montréal · CAMontreal Heart Institute · CAMontreal Clinical Research Institute · CAPolytechnique Montréal · CASorbonne Université · FR

Funding

CIHR FDN-143263
6 · The paper itself

Abstract

objectiveCentral artery stiffness is a confirmed predictor of cardiovascular health status that has been consistently associated with cognitive dysfunction and dementia. The European Society of Hypertension has established a threshold of arterial stiffness above which a cardiovascular event is likely to occur. However, the threshold at which arterial stiffness alters brain integrity has never been established.

methodsThe aim of this study is to determine the arterial stiffness cut-off value at which there is an impact on the white matter microstructure. This study has been conducted with 53 cognitively elderly without dementia. The integrity of the white matter was assessed using diffusion tensor metrics. Central artery stiffness was evaluated by measuring the carotid-femoral pulse wave velocity (cfPWV). The statistical analyses included 4 regions previously denoted vulnerable to increased central arterial stiffness (the corpus callosum, the internal capsule, the corona radiata and the superior longitudinal fasciculus).

resultsThe results of this study call into question the threshold value of 10 m/s cfPWV established by the European Society of Hypertension to classify patients in neuro-cardiovascular risk groups. Our results suggest that the cfPWV threshold value would be approximately 8.5 m/s when the microstructure of the white matter is taken as a basis for comparison.

conclusionsAdjustment of the cfPWV value may be necessary for a more accurate distinction between lower and higher risk group of patients for white matter microstructural injury related to arterial stiffness. Targeting the highest risk group for prevention methods may, in turn, help preserve brain health and cognitive functions.

Indexed as

AgedAgingCarotid-Femoral Pulse Wave VelocityDiffusion Tensor ImagingExecutive FunctionFemaleHumansHypertensionMaleVascular StiffnessWhite MatterAgingArterial stiffnessCognitionCut-offDiffusionHypertensionMRIWhite matter

Identifiers

PMID31668489
PMCPMC7229323
OpenAlexW2974257949

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.