Evidence map›Paper›PMID 40738626›Full record

ArticleBMJ open2025

Characterisation of a clinical trial-like population of high cardiovascular risk patients prior to myocardial infarction or stroke in the real world: design and protocol for a multidatabase retrospective cohort study.

Andreas Ochs, Queenie Chan, Nafeesa N Dhalwani, Michael Duxbury, Erin Shannon, James O'Kelly, Gabriel Paiva da Silva Lima, Suna Avcil, Adrienne Yl Chan, Celine Sl Chui and 5 more

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Gaps in lipid management among high-risk patients without prior MI or stroke: the VESALIUS-REAL global study.Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Article
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

15 authors.

Andreas OchsCenter for Observational Research, Amgen Ltd, Uxbridge, UK aochs@amgen.com.ORCID http://orcid.org/0009-0000-3434-2090
Queenie ChanCenter for Observational Research, Amgen Ltd, Uxbridge, UK.ORCID http://orcid.org/0000-0001-9278-230X
Nafeesa N DhalwaniCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA.
Michael DuxburyCenter for Observational Research, Amgen Ltd, Uxbridge, UK.ORCID http://orcid.org/0009-0004-9403-7708
Erin ShannonCenter for Observational Research, Amgen Inc, Thousand Oaks, California, USA.ORCID http://orcid.org/0000-0003-2241-264X
James O'KellyCenter for Observational Research, Amgen Ltd, Uxbridge, UK.ORCID http://orcid.org/0000-0002-0718-9286
Gabriel Paiva da Silva LimaGlobal Development, Amgen Inc, Thousand Oaks, California, USA.ORCID http://orcid.org/0000-0001-8073-719X
Suna AvcilGlobal Development, Amgen Inc, Thousand Oaks, California, USA.
Adrienne Yl ChanDepartment of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China.
Celine Sl ChuiLaboratory of Data Discovery for Health (D24H), Hong Kong Science and Technology Park, Sha Tin, Hong Kong SAR, China.ORCID http://orcid.org/0000-0003-1513-8726
Edward Chia-Cheng LaiInstitute of Clinical Pharmacy and Pharmaceutical Sciences, National Cheng Kung University, Taiwan, Taiwan.ORCID http://orcid.org/0000-0002-5852-7652
Thomas CarsSence Research, Uppsala, Sweden.ORCID http://orcid.org/0009-0008-0912-8226
Ju-Young Judy ShinSchool of Pharmacy, Sungkyunkwan University-Suwon Campus, Suwon, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0003-1010-7525
Edith M HeintjesPHARMO Institute, Utrecht, The Netherlands.ORCID http://orcid.org/0000-0002-2617-3845
Ian Ck WongDepartment of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionCardiovascular (CV) disease is the leading cause of morbidity and mortality globally. Low-density lipoprotein cholesterol (LDL-C) is an important modifiable risk factor of major adverse cardiovascular events. Patients without prior myocardial infarction (MI) or stroke but with established risk factors and elevated LDL-C may benefit from intensive lipid-lowering therapy (LLT); however, the size and potential healthcare burden of this population globally are not known. The benefits of evolocumab, a proprotein convertase subtilisin/kexin type 9 inhibitor, in these patients, are currently being studied in the phase 3 Effect of Evolocumab in Patients at High Cardiovascular Risk Without Prior Myocardial Infarction or Stroke (VESALIUS-CV) trial. To characterise the high-risk pre-CV-event (VESALIUS-CV-like) individuals in the real world, an observational study is being conducted across multiple countries. METHODS AND ANALYSIS: This retrospective cohort study will use a common protocol and an analytical common data model approach to characterise VESALIUS-CV-like individuals in the real world across different geographical regions and healthcare settings. The study period will be from 2010 to 2022, subject to data availability in study sites. Patients aged 50 years and older at high risk of CV disease but without prior MI or stroke will be included in this study. VESALIUS-CV-like individuals are defined through a combination of the following: (1) one diagnosis of coronary artery disease, cerebrovascular disease, peripheral artery disease or diabetes with microvascular complications or chronic insulin use; (2) an elevated LDL-C measurement and (3) other high-risk factors. The objectives of this study are to estimate the prevalence of VESALIUS-CV-like individuals, describe their characteristics and care pathways and estimate their incidence rates of CV events and healthcare costs. The prevalence of VESALIUS-CV-like individuals will be expressed as annual prevalence; patient characteristics at index date will be presented using summary statistics; care pathways will be summarised as LLT prescription across time; and the incidence of defined CV events will be expressed as events per person-years as well as at certain time periods. Healthcare costs will be presented as CV-related costs in different time periods. ETHICS AND DISSEMINATION: Approvals of the study protocol were obtained from relevant local ethics and regulatory frameworks for each participating database. The results of the study will be submitted to peer-reviewed scientific publications and presented at scientific conferences.

Indexed as

Antibodies, Monoclonal, HumanizedAnticholesteremic AgentsCardiovascular DiseasesMyocardial InfarctionStrokeCholesterol, LDLFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedResearch DesignRetrospective StudiesRisk FactorsAntibodies, Monoclonal, HumanizedAnticholesteremic AgentsCholesterol, LDLevolocumabCardiovascular DiseaseCoronary heart diseaseIschaemic heart diseaseLipid disordersMyocardial infarction

Identifiers

PMID40738626
PMCPMC12315028

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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.