Evidence map›Paper›PMID 37125296›Full record

ArticleEuropean heart journal supplements : journal of the European Society of Cardiology2023

Cardiovascular prevention: sometimes dreams can come true.

Roberto Ferrari, Paolo Cimaglia, Anna Cantone, Matteo Serenelli, Gabriele Guardigli

Abstract read
In one paragraph

Article in European heart journal supplements : journal of the European Society of Cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Roberto FerrariCardiovascular Research Centre, Ferrara University, Via Aldo Moro 8, 44124 Ferrara, Italy.
Paolo CimagliaCardiovascular Research Centre, Ferrara University, Via Aldo Moro 8, 44124 Ferrara, Italy.
Anna CantoneCardiovascular Research Centre, Ferrara University, Via Aldo Moro 8, 44124 Ferrara, Italy.
Matteo SerenelliCardiovascular Research Centre, Ferrara University, Via Aldo Moro 8, 44124 Ferrara, Italy.
Gabriele GuardigliCardiovascular Research Centre, Ferrara University, Via Aldo Moro 8, 44124 Ferrara, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) is a chronic condition driven by the complex interaction of different risk factors including genetics, lifestyle, environment, etc. which, differently from other pathologies, can be prevented. Treatment of CVD has been inconceivably successful but now it seems that it has reached a plateau suggesting that prevention is the way forward. However, the COVID-19 pandemic has spotted all the limits of the actual health system regarding territorial and, particularly, of preventive medicine. To this end, recently, the SCORE2 risk prediction algorithms, a contemporary model to estimate 10 years risk of CVD in Europe and the new guidelines on prevention have been released. The present review article describes a dream: how prevention of CVD should be addressed in the future. New concepts and paradigms like early genetically personalized and imaging driven risk factors, cardiac risk cartography, measurements of the exposome, estimation of costs of a delayed outcome vs. healthy lifespan, are all addressed. We highlight the importance of technologies and the concept of being engaged in a 'healthy' and not just 'sick' system as it is today. The concept of 'clearing house' with a 'care health team' instead of a 'heart team' is described. Finally, we articulate the four points necessary for the dream to come true.

Indexed as

Cardiovascular diseasesHealth systemPreventionRisk scores

Identifiers

PMID37125296
PMCPMC10132572

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.