Evidence map›Paper›PMID 33757633›Full record

ReviewSeminars in vascular surgery2021

Epidemiology of atherosclerotic carotid artery disease.

Shernaz Dossabhoy, Shipra Arya

Abstract readReview
PubMed Publisher
In one paragraph

Review in Seminars in vascular surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 4 pooled it
5.1field-weighted citation impact, top 4% 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

29 citing papers in PubMed, 4 syntheses or guidelines pooled it, 66 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Shernaz DossabhoyDivision of Vascular Surgery, Department of Surgery, Stanford University School of Medicine, 300 Pasteur Drive, Alway M121-P, MC 5639, Stanford, CA 94305.
Shipra AryaDivision of Vascular Surgery, Department of Surgery, Stanford University School of Medicine, 300 Pasteur Drive, Alway M121-P, MC 5639, Stanford, CA 94305. Electronic address: sarya1@stanford.edu.
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atherosclerotic carotid artery disease is a significant cause of stroke in the United States and globally. Its prevalence increases with age and it is more prevalent in men and White and Native-American populations. However, the outcomes related to carotid disease are worse in women and Black patients. Research suggests the disparities exist due to a multitude of factors, including disease pathophysiology, access to care, provider bias, and socioeconomic status. The prevalence of carotid stenosis in the general population is low (3%), and routine screening for carotid stenosis is not recommended in adults. Randomized clinical trials have shown benefits of stroke risk reduction with surgery (carotid endarterectomy or stenting) for symptomatic patients. Management is controversial in asymptomatic patients, as modern medical management has results equivalent to those of surgery and ongoing randomized clinical trials will address this important question. Carotid surgery is not appropriate in asymptomatic patients with limited life expectancy. Future work should explore comprehensive care models for care of patients with carotid disease and assessment of patient-reported outcomes to measure quality of care.

Indexed as

AdultAgedAged, 80 and overAge FactorsCarotid Artery DiseasesFemaleHealthcare DisparitiesHealth Status DisparitiesHumansMaleMiddle AgedPrevalencePrognosisRace FactorsRisk AssessmentRisk Factors

Identifiers

PMID33757633
OpenAlexW3129378617

What OpenQuestion holds

Textmetadata
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.