Evidence map›Paper›PMID 36552060›Full record

ArticleBrain sciences2022

Predictors of Carotid Atherosclerosis Progression: Evidence from an Ultrasonography Laboratory.

Stefano Caproni, Alice Riva, Giada Barresi, Danilo Costanti, Franco Costantini, Francesca Galletti, Chiara Di Schino, Elisa Appolloni, Marco Muti, Carlo Colosimo

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2022. 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
0.5field-weighted citation impact, top 33% 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, 3 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

10 authors at 4 institutions in 1 country.

Stefano CaproniNeurology and Stroke Unit, Neuroscience Department, "S. Maria" University Hospital, 05100 Terni, Italy.ORCID 0000-0002-8627-9879
Alice RivaNeurology, Medicine Department, Università Politecnica delle Marche, 06126 Ancona, Italy.
Giada BarresiUniversity of Messina, 98124 Messina, Italy.
Danilo CostantiNeurology and Stroke Unit, Neuroscience Department, "S. Maria" University Hospital, 05100 Terni, Italy.
Franco CostantiniNeurology and Stroke Unit, Neuroscience Department, "S. Maria" University Hospital, 05100 Terni, Italy.
Francesca GallettiNeurology and Stroke Unit, Neuroscience Department, "S. Maria" University Hospital, 05100 Terni, Italy.
Chiara Di SchinoNeurology and Stroke Unit, Neuroscience Department, "S. Maria" University Hospital, 05100 Terni, Italy.
Elisa AppolloniUniversity of Rome "Sapienza", 00155 Rome, Italy.
Marco MutiHealth Physics, Oncology Department, "S. Maria" University Hospital, 05100 Terni, Italy.
Carlo ColosimoNeurology and Stroke Unit, Neuroscience Department, "S. Maria" University Hospital, 05100 Terni, Italy.ORCID 0000-0002-2216-3973
Santa Maria Nuova Hospital · ITMarche Polytechnic University · ITSapienza University of Rome · ITUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe purpose of this study was to investigate the role of risk factors in predicting the variation in carotid atherosclerosis at ultrasonographic follow-up and, therefore, its role in the progression of large-vessel disease.

methodsThis retrospective population study included all the outpatients that underwent at least two carotid ultrasonographies at our laboratory from 2001 to 2017. Demographic data, vascular risk factors, and the results at follow-up were analysed to determine if correlations exist between these risk factors and variation in carotid atherosclerosis.

resultsData from 600 patients (327 males and 273 females with a mean age of 67 years) were collected. The mean follow-up period was 49 months (range: 1-195). We analysed each demographic variable and risk factor to assess its correlation with a worsening of carotid atherosclerosis; previous myocardial infarction (2.594), previous carotid surgical treatment (2.368), and hypertension (1.85) were found to have the highest odds ratios, respectively. Furthermore, the sample was divided into specific subpopulations (diabetes, hypertension, and smoking), and an association was found between age and worsening stenosis. DISCUSSION AND

conclusionsOur results confirm the importance of carotid ultrasonographic follow-up in the monitoring and managing of large-vessel disease. Myocardial infarction, previous stroke, and previous surgical treatment were the strongest predictors of a worsening of carotid atherosclerosis. These findings suggest a strict follow-up is needed, even in the absence of significant carotid atherosclerosis at baseline.

Indexed as

carotid atherosclerosiscarotid ultrasounddiabeteslarge-vessel diseaserisk factorsstroke

Identifiers

PMID36552060
PMCPMC9775088
OpenAlexW4309839570

What OpenQuestion 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 OpenQuestion graph.