Evidence map›Paper›PMID 34133824›Full record

ArticleEuropean journal of neurology2021

Dolichoarteriopathies of the extracranial internal carotid artery: The Plaque At RISK study.

Kristine Dilba, Dianne H K van Dam-Nolen, Geneviève A J C Crombag, Anja G van der Kolk, Peter J Koudstaal, Paul J Nederkoorn, Jeroen Hendrikse, Marianne Eline Kooi, Antonius F W van der Steen, Jolanda J Wentzel and 2 more

Abstract read
In one paragraph

Article in European journal of neurology, 2021. 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
–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

4 citing papers in PubMed.

  1. Relationship between Vascular Tortuosity Rate and Atherosclerotic Risk Factors in Patients with Carotid Artery Stenosis.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
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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

12 authors.

Kristine DilbaCardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Dianne H K van Dam-NolenRadiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-4527-3876
Geneviève A J C CrombagRadiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, The Netherlands.ORCID 0000-0002-6233-3391
Anja G van der KolkRadiology, University Medical Center Utrecht, Utrecht, The Netherlands.ORCID 0000-0002-8267-8848
Peter J KoudstaalNeurology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0003-4998-9609
Paul J NederkoornNeurology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
Jeroen HendrikseRadiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Marianne Eline KooiRadiology and Nuclear Medicine, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, Maastricht, The Netherlands.ORCID 0000-0001-7562-5724
Antonius F W van der SteenCardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-8045-7363
Jolanda J WentzelCardiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-9893-3404
Aad van der LugtRadiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-6159-2228
Daniel BosRadiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-8979-2603

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeDolichoarteriopathies of the extracranial part of the internal carotid artery (ICA) are associated with cerebrovascular events, yet information on their prevalence and risk factors remains limited. The aim of the present study therefore was to study the prevalence and risk factors of dolichoarteriopathies in a sample of patients with cerebrovascular symptoms from the Plaque At RISK (PARISK) study.

methodsIn a random sample of 100 patients from the PARISK study, multidetector computed tomography angiography (MDCTA) was performed as part of clinical workup. On MDCTA, we evaluated the extracranial trajectory of the ICA by measuring the length (in millimeters), the tortuosity index (TI; defined as the ICA length divided by the shortest possible distance from bifurcation to skull base), and dolichoarteriopathy type (tortuosity, coiling or kinking). Next, we investigated the association between cardiovascular risk factors and these measurements using linear and logistic regression analyses.

resultsThe mean (standard deviation) length of the ICA was 93 (± 14) mm, with a median (interquartile range) TI of 1.2 (1.1-1.3). The overall prevalence of dolichoarteriopathies was 69%, with tortuosity being the most common (72%), followed by coiling (20%), and kinking (8%). We found that age and obesity were associated with a higher TI: difference per 10-year increase in age: 0.05 (95% confidence interval [CI] 0.02-0.08) and 0.16 (95% CI 0.07-0.25) for obesity. Obesity and hypercholesterolemia were associated with a more severe type of dolichoarteriopathy (odds ratio [OR] 2.07 [95% CI 1.04-4.12] and OR 2.17 [95% CI 1.02-4.63], respectively).

conclusionDolichoarteriopathies in the extracranial ICA are common in patients with cerebrovascular symptoms, and age, obesity and hypercholesterolemia may play an important role in the pathophysiology of these abnormalities.

Indexed as

Carotid Artery DiseasesCarotid StenosisCarotid Artery, InternalHumansInfant, NewbornRisk Factorsatherosclerosiscarotid diseasecomputed tomography angiographystroke

Identifiers

PMID34133824
PMCPMC8457194

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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.