Evidence map›Paper›PMID 35070286›Full record

ArticleAnnals of medicine and surgery (2012)2022

Comparison of Doppler Ultrasound and Digital Subtraction Angiography in extracranial stenosis.

Seyed Farzad Maroufi, Seyedeh Niloufar Rafiee Alavi, Mohammad Hossein Abbasi, Ali Famouri, Mahya Naderkhani, Sepehr Armaghan, Sepideh Allahdadian, Arian Shahidi, Hossein Nazarian, Sara Esmaeili and 3 more

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In one paragraph

Article in Annals of medicine and surgery (2012), 2022. 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
1.2field-weighted citation impact, top 20% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Hemodynamics in Doppler ultrasonography.Ultrasonography (Seoul, Korea) · 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

13 authors at 6 institutions in 3 countries.

Seyed Farzad MaroufiFaculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Seyedeh Niloufar Rafiee AlaviPhysiology Research Center, Iran University of Medical Sciences, Tehran, Iran.
Mohammad Hossein AbbasiDepartment of Neurology, Iran University of Medical Sciences, Tehran, Iran.
Ali FamouriThe Canadian College of Naturopathic Medicine, Toronto, ONT, Canada.
Mahya NaderkhaniTrauma and Injury Research Center, Iran University of Medical Sciences, Tehran, Iran.
Sepehr ArmaghanHamburg University, Faculty of Medicine-UKE, Universitätsklinikum Hamburg-Eppendorf, Germany.
Sepideh AllahdadianPacific Parkinson's Research Centre, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada.
Arian ShahidiStudent Research Committee, Faculty of Medicine, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran.
Hossein NazarianHamburg University, Faculty of Medicine-UKE, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.
Sara EsmaeiliDepartment of Neurology, Iran University of Medical Sciences, Tehran, Iran.
Maryam BahadoriDepartment of Neurology, Iran University of Medical Sciences, Tehran, Iran.
Mohmmad Reza MotamedDepartment of Neurology, Iran University of Medical Sciences, Tehran, Iran.
Mohammad Taghi JoghataeiCellular and Molecular Research Center, Iran University of Medical Sciences, Tehran, Iran.
Iran University of Medical Sciences · IRUniversity Medical Center Hamburg-Eppendorf · DECanadian College of Naturopathic Medicine · CAIslamic Azad University Medical Branch of Tehran · IRTehran University of Medical Sciences · IRUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveEvaluating the degree of extracranial stenosis is important in predicting the risk of cerebrovascular events and to assess if the patient can benefit from any intervention. Non-invasive methods, like Doppler Ultrasonography (DUS) are preferred to invasive methods such as Digital Subtraction Angiography (DSA).

methodsIn this retrospective study, the level of agreement between DUS and DSA regarding the degree of stenosis of Internal Carotid Arteries (ICAs) and Vertebral Arteries (VAs) was assessed. The degree of ICA stenosis was classified into 5 groups. DSA was assumed as the gold standard. VA stenosis was classified into two groups of more or less than 50% stenosis.

resultsA total of 428 ICAs were assessed. Based on DSA results, DUS could estimate the degree of arterial stenosis in groups of 0-15% stenosis and 100% stenosis most accurately, and the least accuracy was in groups of 50-69% and 70-99% stenosis. The overall agreement between DUS and DSA in the classified ICA stenosis was moderate (Weighted Kappa = 0.565, P < 0.001). Also, the agreement of DUS and DSA when classifying ICA stenosis into two groups of above and below 50%, was moderate (Kappa = 0.583, P < 0.001). DUS was most sensitive and specific in the group of 100% stenosis (Sensitivity: 0.75 Specificity: 0.99) as well as the group of 1-15% stenosis (Sensitivity: 0.80 Specificity: 0.76). Also, DUS was least sensitive in group of 50-69% stenosis (Sensitivity: 0.11 Specificity: 0.94). Regarding VAS, 108 arteries were assessed and the agreement between DUS and DSA was fair (Kappa = 0.248, CI95 = -0.013 - 0.509, P < 0.01).

conclusionsDUS can be used as the first-line screening tool for detecting extra cranial arteries stenosis. The practicality of the DUS as a screening tool for extracranial VAs stenosis appears to be limited.

Indexed as

Carotid arteriesDigital subtraction angiographyDoppler ultrasonographyStenosisVertebral arteries

Identifiers

PMID35070286
PMCPMC8761599
OpenAlexW4200331435

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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.