Evidence mapPaperPMID 37547279Full record

ArticleThe Lancet regional health. Europe2023

Optimal implementation of the 2019 ESC/EAS dyslipidaemia guidelines in patients with and without atherosclerotic cardiovascular disease across Europe: a simulation based on the DA VINCI study.

Julia Brandts, Sarah Bray, Guillermo Villa, Alberico L Catapano, Neil R Poulter, Antonio J Vallejo-Vaz, Kausik K Ray, DA VINCI study group

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
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  3. Article
  4. Observational
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  7. Article
  8. Review
  9. Review
  10. Treatment pathways of lipid-lowering therapies in Germany 2016-2022.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Article
  11. Article
  12. Article
  13. Review
  14. Article
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  16. Review
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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.

Julia BrandtsDepartment of Primary Care and Public Health, Imperial Centre for Cardiovascular Disease Prevention, School of Public Health, Imperial College London, London, UK.
Sarah BrayGlobal Biostatistical Science, Amgen Ltd, Cambridge, UK.
Guillermo VillaHealth Economics & Outcomes Research, Amgen (Europe) GmbH, Risch-Rotkreuz, Switzerland.
Alberico L CatapanoIRCCS MultiMedica, Milan, Italy.
Neil R PoulterImperial Clinical Trials Unit, Imperial College London, London, UK.
Antonio J Vallejo-VazDepartment of Primary Care and Public Health, Imperial Centre for Cardiovascular Disease Prevention, School of Public Health, Imperial College London, London, UK.
Kausik K RayDepartment of Primary Care and Public Health, Imperial Centre for Cardiovascular Disease Prevention, School of Public Health, Imperial College London, London, UK.
DA VINCI study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The impact of the stepwise implementation of the 2019 European Society of Cardiology (ESC)/European Atherosclerosis Society (EAS) treatment algorithm on low-density lipoprotein cholesterol (LDL-C) goal attainment was simulated in patients from the DA VINCI study. Methods: Monte Carlo simulation was used to evaluate treatment optimisation scenarios, based on a patient's risk category: statin intensification (step 1), addition of ezetimibe (step 2), and addition of a proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitor (step 3). Residual cardiovascular risk and predicted relative and absolute risk reduction (RRR and ARR) in cardiovascular events were assessed. Findings: In DA VINCI, 2482 patients did not achieve their 2019 ESC/EAS LDL-C goals and were included in the simulation. In patients without atherosclerotic cardiovascular disease (ASCVD) ( Interpretation: Most patients at high cardiovascular risk are unlikely to achieve LDL-C goals through statin optimisation and ezetimibe, and will require a PCSK9 inhibitor, leading to greater reduction in cardiovascular risk. Funding: Amgen.

Indexed as

Atherosclerotic cardiovascular diseaseCardiovascular riskESC/EAS guidelinesLDL-CLipid-lowering

Identifiers

PMID37547279
PMCPMC10398584

What Socratic holds

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LicenceCC BY
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.