Evidence map›Paper›PMID 32071030›Full record

ArticleDiagnostic and interventional radiology (Ankara, Turkey)2020

Prediction of degree of carotid stenosis with the transluminal attenuation difference ratio.

Ayşegül Gürsoy Çoruh, Elif Peker, Başak Gülpınar, Mine Hayriye Sorgun, Atilla Halil Elhan, Ömer Suat Fitoz

Open access · greenAbstract read
In one paragraph

Article in Diagnostic and interventional radiology (Ankara, Turkey), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 98% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

6 authors at 1 institution in 1 country.

Ayşegül Gürsoy ÇoruhDepartment of Radiology, Ankara University School of Medicine, Ankara, Turkey.
Elif PekerDepartment of Radiology, Ankara University School of Medicine, Ankara, Turkey.
Başak GülpınarDepartment of Radiology, Ankara University School of Medicine, Ankara, Turkey.
Mine Hayriye SorgunDepartment of Neurology, Ankara University School of Medicine, Ankara, Turkey.
Atilla Halil ElhanDepartment of Biostatistics, Ankara University School of Medicine, Ankara, Turkey.
Ömer Suat FitozDepartment of Radiology, Ankara University School of Medicine, Ankara, Turkey.
Ankara University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to assess the diagnostic performance of transluminal attenuation difference (TAD) in predicting the severity of internal carotid artery (ICA) stenosis.

methodsThe study cohort consisted of 48 patients with <50% stenosis, 50%-69% stenosis, 70%-99% stenosis, and 51 controls without plaque development in ICA. A total of 143 measurements were performed through right and left internal and common carotid arteries. The TAD ratio was calculated as the difference between the mean attenuation values of the common carotid artery (CCA) and ICA, divided by the MAV of the CCA, multiplied by 100.

resultsTAD ratio was significantly higher in severe (>70%) stenosis compared with control arteries and low-moderate stenosis. A TAD ratio cutoff of 4.5 predicted 70%-99% stenosis with a sensitivity of 100% and specificity of 93%. The inter- and intraobserver agreements in TAD measurements were almost perfect (ICC, 0.89-0.86).

conclusionAssessment of TAD ratio predicts the degree of stenosis in concordance with NASCET system.

Indexed as

AgedAngiography, Digital SubtractionCarotid Artery, InternalCarotid StenosisCase-Control StudiesComputed Tomography AngiographyFemaleHumansIschemic Attack, TransientMagnetic Resonance AngiographyMaleMiddle AgedObserver VariationPredictive Value of TestsRetrospective StudiesSensitivity and Specificity

Identifiers

PMID32071030
PMCPMC7239356
OpenAlexW3006756822

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Registered trials

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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.