Evidence map›Paper›PMID 40463756›Full record

ReviewJournal of cardiovascular echography

The Role of Imaging in Cardiovascular Prevention: A Comprehensive Review.

Maria Ludovica Carerj, Davide Restelli, Cristina Poleggi, Gianluca Di Bella, Concetta Zito, Roberta Manganaro, Maurizio Cusmà Piccione, Giancarlo Trimarchi, Andrea Farina, Antonio Micari and 1 more

Abstract readReview
In one paragraph

Review in Journal of cardiovascular echography. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
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

27 citing papers in PubMed.

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  15. Observational
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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

11 authors.

Maria Ludovica Carerj *Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
Davide Restelli *Department of Cardio-Thoraco-Vascular Care, ASST Lecco - Ospedale A. Manzoni, Lecco, Italy.
Cristina PoleggiDepartment of Cardiovascular Care, ASST Valle Olona - Ospedale di Circolo, Busto Arsizio, Italy.
Gianluca Di BellaDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Concetta ZitoDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Roberta ManganaroDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Maurizio Cusmà PiccioneDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Giancarlo TrimarchiInterdisciplinary Center for Health Sciences, Scuola Superiore Sant'Anna, Pisa, Italy.
Andrea FarinaDepartment of Cardio-Thoraco-Vascular Care, ASST Lecco - Ospedale A. Manzoni, Lecco, Italy.
Antonio MicariDepartment of Biomedical and Dental Sciences and Morpho-Functional Imaging, University of Messina, Messina, Italy.
Scipione CarerjDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases (CVDs) remain the leading cause of morbidity and mortality worldwide, and traditional preventive measures focus on lifestyle modifications, pharmacologic interventions, and risk stratification. Recently, imaging has emerged as an interesting tool in cardiovascular prevention. This review explores the role of various imaging modalities in early detection, risk assessment, and disease monitoring. Noninvasive techniques such as carotid ultrasound, arterial stiffness assessment, echocardiography, and coronary artery calcium scoring enable the identification of subclinical atherosclerosis and ventricular dysfunction, providing insights that complement conventional risk factors. Coronary computed tomography angiography and cardiac magnetic resonance offer high-resolution visualization of vascular and myocardial pathology, contributing to refined risk stratification. Furthermore, emerging markers such as epicardial adipose tissue and hepatic steatosis are gaining recognition as potential predictors of cardiovascular risk. Advancements in artificial intelligence (AI) are revolutionizing cardiovascular imaging by enhancing image interpretation, automating risk prediction, and facilitating personalized medicine. Future research should focus on optimizing the integration of imaging into clinical workflows, improving risk prediction models, and exploring AI-driven innovations. By exploiting imaging technologies, clinicians could enhance primary and secondary prevention strategies, ultimately reducing the global burden of CVDs.

Indexed as

Artificial intelligencecardiac magnetic resonancecardiovascular imagingcardiovascular preventionechocardiographyepicardial adipose tissue

Identifiers

PMID40463756
PMCPMC12129275

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.