Evidence map›Paper›PMID 39980784›Full record

ArticleEuropean heart journal supplements : journal of the European Society of Cardiology2025

Cardiovascular risk assessment in daily clinical practice: when and how to use a risk score.

Germana Panattoni, Pietro Desimone, Federica Toto, Federica Meringolo, Ilaria Jacomelli, Marco Rebecchi, Francesco Cicogna, Leonardo Calò

Abstract read
In one paragraph

Article in European heart journal supplements : journal of the European Society of Cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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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

8 authors.

Germana PanattoniDivision of Cardiology, Policlinico Casilino, Via Casilina 1049, 00169 Rome, Italy.ORCID https://orcid.org/0009-0002-1837-8565
Pietro DesimoneDepartment of Cardiology, University of Rome 'Tor Vergata', Viale Oxford, 81, 00133 Rome, Italy.
Federica TotoDivision of Cardiology, Policlinico Casilino, Via Casilina 1049, 00169 Rome, Italy.
Federica MeringoloDepartment of Biomedical Sciences, Faculty of Medicine, Catholic University 'Our Lady of Good Counsel', Rr. Dritan Hoxha 1000, Tirana, Albania.
Ilaria JacomelliDivision of Cardiology, Policlinico Casilino, Via Casilina 1049, 00169 Rome, Italy.
Marco RebecchiDivision of Cardiology, Policlinico Casilino, Via Casilina 1049, 00169 Rome, Italy.
Francesco CicognaDivision of Cardiology, Policlinico Casilino, Via Casilina 1049, 00169 Rome, Italy.ORCID https://orcid.org/0000-0003-1191-2091
Leonardo CalòDivision of Cardiology, Policlinico Casilino, Via Casilina 1049, 00169 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases (CVDs) remain a major cause of morbidity and mortality worldwide. The European Society of Cardiology Guidelines encourage the use of risk prediction models to enhance an adequate management of cardiovascular risk factors and the implementation of healthy behaviours. In primary prevention, estimating CVD risk is used to identify patients at high risk in order to enhance preventive strategies and decrease the incidence of unfavourable events and pre-mature cardiovascular deaths. Risk models integrate information on several conventional risk factors and estimate individual risk over a 10-year period. In addition to conventional risk factors, emerging non-traditional markers should be considered and mentioned in risk stratification. In secondary prevention, optimal management of patients include evaluation of residual CVD risk. The 10-year risk of recurrent events is not the same for all patients. The identification of high-risk patients is mandatory to prevent recurrent events and to allow to engage intensive treatments and follow-up strategies, representing an opportunity for major public health gain. This review provides a guide to evaluate which CVD risk score is appropriate for use in different settings in clinical practice.

Indexed as

10-Year risk of fatal and non-fatal CVD eventsAtherosclerotic cardiovascular diseaseCardiovascular risk calculatorLifetime riskResidual risk

Identifiers

PMID39980784
PMCPMC11836693

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.