Evidence mapPaperPMID 37655749Full record

ArticleTherapeutic advances in cardiovascular disease

Carotid total plaque area as an independent predictor of short-term subclinical polyvascular atherosclerosis progression and major adverse cardiac and cerebrovascular events.

Vadim Genkel, Alla Kuznetsova, Evgeniy Lebedev, Alexey Salashenko, Albina Savochkina, Karina Nikushkina, Lubov Pykhova, Veronika Sumerkina, Igor Shaposhnik

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in cardiovascular disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 8 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

9 authors at 1 institution in 1 country.

Vadim GenkelFederal State Budgetary Educational Institution of Higher Education 'South-Ural State Medical University' of the Ministry of Healthcare of the Russian Federation, Vorovskogo street 64, Chelyabinsk 454092, Russia.ORCID 0000-0001-5902-3803
Alla KuznetsovaFederal State Budgetary Educational Institution of Higher Education 'South-Ural State Medical University' of the Ministry of Healthcare of the Russian Federation, Chelyabinsk, Russia.
Evgeniy LebedevFederal State Budgetary Educational Institution of Higher Education 'South-Ural State Medical University' of the Ministry of Healthcare of the Russian Federation, Chelyabinsk, Russia.
Alexey SalashenkoFederal State Budgetary Educational Institution of Higher Education 'South-Ural State Medical University' of the Ministry of Healthcare of the Russian Federation, Chelyabinsk, Russia.
Albina SavochkinaFederal State Budgetary Educational Institution of Higher Education 'South-Ural State Medical University' of the Ministry of Healthcare of the Russian Federation, Chelyabinsk, Russia.
Karina NikushkinaFederal State Budgetary Educational Institution of Higher Education 'South-Ural State Medical University' of the Ministry of Healthcare of the Russian Federation, Chelyabinsk, Russia.
Lubov PykhovaFederal State Budgetary Educational Institution of Higher Education 'South-Ural State Medical University' of the Ministry of Healthcare of the Russian Federation, Chelyabinsk, Russia.
Veronika SumerkinaFederal State Budgetary Educational Institution of Higher Education 'South-Ural State Medical University' of the Ministry of Healthcare of the Russian Federation, Chelyabinsk, Russia.
Igor ShaposhnikFederal State Budgetary Educational Institution of Higher Education 'South-Ural State Medical University' of the Ministry of Healthcare of the Russian Federation, Chelyabinsk, Russia.
Chelyabinsk State Medical Academy · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of ultrasound-based methods for imaging of subclinical atherosclerosis, including measurement of carotid plaque burden (cPB), is a promising direction for further improvement of major adverse cardiac and cerebrovascular events (MACCE) prediction.

objectivesThe aim of the study was to research the prognostic values' significance of cPB indicators with regard to the short-term progression of polyvascular subclinical atherosclerosis and the long-term onset of MACCE.

designSingle-center prospective cohort study.

methodsThe study included patients 40-64 years of age. All patients underwent duplex scanning (DS) of the carotid and lower limb arteries. The following cPB indicators were determined: carotid plaque score (cPS), maximum carotid plaque thickness (cPTmax), and carotid total plaque area (cTPA). The combined endpoint included the following components: cardiovascular death; nonfatal myocardial infarction; nonfatal stroke or transient ischemic attack (TIA); revascularization of the coronary and/or peripheral arteries.

resultsThe study included 387 patients, among whom 142 (36.7%) patients underwent repeated DS after 12-24 months. The median follow-up time was 20.0 (13.0; 36.5) months. MACCE were recorded in 33 (8.52%) of patients. cTPA and cPTmax, but not cPS, were independently associated with the progression of subclinical polyvascular atherosclerosis over a period of 13.9 months of follow-up. cTPA, but not cPTmax and cPS, was independently associated with the development of MACCE over a period of 20.0 months of follow-up. Only a cTPA > 42.0 mm

conclusionIn patients from 40 to 64 years of age with various cardiovascular risks, among the indicators of the cPB, only an increase in cTPA > 42.0 mm

Indexed as

AtherosclerosisCarotid Artery DiseasesPlaque, AtheroscleroticStrokeHumansProspective StudiesRisk Factorscarotid plaque burdenmajor adverse cardiovascular eventsplaque areaplaque thickness

Identifiers

PMID37655749
PMCPMC10475231
OpenAlexW4386347693

What Socratic holds

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LicenceCC BY-NC
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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.