Evidence map›Paper›PMID 41073127›Full record

Observational studyOpen heart2025

Daniela Coggi, Joey Ward, Chiara Macchi, Bruna Gigante, Mauro Amato, Donald M Lyall, Beatrice Frigerio, Alessio Ravani, Daniela Sansaro, Nicola Ferri and 15 more

Abstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Open heart, 2025. 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

25 authors.

Daniela CoggiCentro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Lombardy, Italy.
Joey WardInstitute of Health and Wellbeing, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0003-0951-8511
Chiara MacchiDipartimento di Scienze Farmacologiche e Biomolecolari, Università degli Studi di Milano, Milan, Italy.
Bruna GiganteCardiovascular Epidemiology, IMM, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4508-7990
Mauro AmatoCentro Cardiologico Monzino, Milano, Italy.
Donald M LyallUniversity of Glasgow, Glasgow, UK.
Beatrice FrigerioCentro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Lombardy, Italy.
Alessio RavaniCentro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Lombardy, Italy.
Daniela SansaroCentro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Lombardy, Italy.
Nicola FerriCentro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Lombardy, Italy.
Maria Giovanna LupoDipartimento di Medicina, Università degli Studi di Padova, Padua, Italy.
Massimiliano RuscicaUniversità degli Studi di Milano, Milano, Italy.
Fabrizio VegliaMaria Cecilia Hospital, Cotignola, Italy.
Nicolo CapraDipartimento di Medicina, Università degli Studi di Padova, Padua, Italy.
Antonio GalloIHU-ICAN, Paris, France.
Matteo PirroInternal Medicine Department of Medicine and Surgery, University of Perugia, Perugia, Italy.
Kai SavonenDepartment of Clinical Physiology and Nuclear Medicine, University of Eastern Finland, Kuopio, Finland.
Douwe J MulderDepartment of Internal Medicine, University of Groningen, Groningen, Netherlands.
Roberta BaettaCentro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Lombardy, Italy.
Elena TremoliMaria Cecilia Hospital, Cotignola, Italy.
Jill P PellSection of Public Health and Health Policy, University of Glasgow, Glasgow, UK.
Paul WelshBHF GCRC, University of Glasgow, Glasgow, UK.ORCID http://orcid.org/0000-0002-7970-3643
Naveed SattarBritish Heart Foundation Glasgow Cardiovascular Research Centre, Institute of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK.
Damiano Baldassarre *Centro Cardiologico Monzino, Istituto di Ricovero e Cura a Carattere Scientifico, Milan, Lombardy, Italy.
Rona J Strawbridge *University of Glasgow, Glasgow, UK rona.strawbridge@glasgow.ac.uk.ORCID http://orcid.org/0000-0001-8506-3585

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundCirculating proprotein convertase subtilisin/kexin type 9 (PCSK9) is a crucial regulator of cholesterol metabolism. Loss-of-function variants in PCSK9 are associated with lower levels of circulating low-density lipoprotein cholesterol (LDL-C) and reduced cardiovascular disease (CVD) risk, while gain-of-function variants correlate with elevated LDL-C concentrations and increased CVD risk. This study investigated whether genetically determined LDL-C levels, proxied by four PCSK9 genetic variants, influence common carotid artery atherosclerosis.

methodsThe analysis included 3040 European participants (mean age 64.2±5.4 years; 45.8% men) at high cardiovascular risk from the IMPROVE Study, alongside 49 088 individuals of white British ancestry (mean age 55.2±7.6 years; 47.9% men) from the UK Biobank (UKB). Ultrasonographic measurements of common carotid intima-media thickness (CC-IMTmean, CC-IMTmax, CC-IMTmean-max) were obtained. Four lipid-level affecting genetic variants in the

resultsIn the IMPROVE cohort,

conclusionsGenetic variants in the

Indexed as

Carotid Artery DiseasesGenetic VariationProprotein Convertase 9Vascular RemodelingAgedBiomarkersCarotid Intima-Media ThicknessCholesterol, LDLFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedRisk FactorsUnited KingdomBiomarkersCholesterol, LDLPCSK9 protein, humanProprotein Convertase 9AtherosclerosisBiomarkersCarotid Artery DiseasesEchocardiographyGenetic Association Studies

Identifiers

PMID41073127
PMCPMC12517018

What OpenQuestion holds

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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 OpenQuestion graph.