Evidence map›Paper›PMID 33459288›Full record

ArticleNeurosciences (Riyadh, Saudi Arabia)2020

Prevalence of asymptomatic atherosclerosis of extracranial vessels among hypertensive patients in southern Egypt: An extracranial duplex study.

Ghaydaa A Shehata, Lobna Abd-Elwahid, Mohamed Fathy, Ahmed Nasreldein

Open access · diamondAbstract read
In one paragraph

Article in Neurosciences (Riyadh, Saudi Arabia), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Ghaydaa A ShehataDepartment of Neurology and psychiatry, Faculty of Medicine, Assiut University, Assiut, Egypt.
Lobna Abd-Elwahid
Mohamed Fathy
Ahmed Nasreldein
Assiut University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe prevalence of atherosclerosis in extracranial vessels among hypertensive patients in southern Egypt is still unknown. Carotid ultrasound is an accurate method used to identify and follow patients with cerebrovascular disorders. The aim of our study is to detect the prevalence and pattern of extracranial atherosclerosis among those patients.

methodsOur case-control study was performed from January 2017 to January 2018, including 200 subjects, 100 patients recruited consecutively from the Hypertension Clinic in Assiut University hospitals, Egypt, and 100 healthy controls. Detailed history collection and thorough physical examinations were carried out for each patient. All subjects underwent extracranial ultrasound. We omitted patients with history of ischemic stroke and TIAs.

resultsThe presence of increased intima media thickness was detected in 37 patients (37%). 22 patients (22%) had internal carotid artery (ICA) stenosis, 17 patients (17%) had non-significant stenosis <50%, while five patients (5%) had stenosis 50-69%. 9% had stenosis < 50% in vertebral artery. In addition, age and uncontrolled hypertension have a greater impact on increasing the CCA intima media thickness, which is considered an early sign of atherosclerosis.

conclusionUncontrolled hypertension is an important risk factor for atherosclerosis and hence ischemic stroke (IS). The cost of screening is considered low compared to IS management. Greater emphasis should be directed toward regular screening programs in this risky population.

Indexed as

AdultAgedAtherosclerosisCarotid StenosisCase-Control StudiesEgyptFemaleHumansHypertensionMaleMiddle AgedPrevalenceUltrasonography, Doppler, DuplexVertebrobasilar Insufficiency

Identifiers

PMID33459288
PMCPMC8015593
OpenAlexW3095555804

What Socratic holds

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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 Socratic graph.