Evidence map›Paper›PMID 38445505›Full record

Trial reportEuropean heart journal. Cardiovascular Imaging2024

Plasma lipidomics and coronary plaque changes: a substudy of the SMARTool clinical trial.

Jeff M Smit, Silvia Rocchiccioli, Giovanni Signore, Elena Michelucci, Nicoletta Di Giorgi, Alexander R van Rosendael, Mohammed El Mahdiui, Danilo Neglia, Juhani Knuuti, Antti Saraste and 10 more

Open access · hybridAbstract readClinical TrialMulticenter Study
In one paragraph

Trial report in European heart journal. Cardiovascular Imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

20 authors at 8 institutions in 6 countries.

Jeff M SmitDepartment of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.ORCID 0000-0003-1488-9085
Silvia RocchiccioliInstitute of Clinical Physiology CNR, Viale Giuseppe Moruzzi 1, 56124 Pisa, Italy.
Giovanni SignoreDepartment of Biology, Biochemistry Unit, University of Pisa, Pisa, Italy.
Elena MichelucciInstitute of Clinical Physiology CNR, Viale Giuseppe Moruzzi 1, 56124 Pisa, Italy.
Nicoletta Di GiorgiInstitute of Clinical Physiology CNR, Viale Giuseppe Moruzzi 1, 56124 Pisa, Italy.
Alexander R van RosendaelDepartment of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
Mohammed El MahdiuiDepartment of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.
Danilo NegliaCardiovascular and Imaging Departments, Fondazione Toscana Gabriele Monasterio, Pisa, Italy.
Juhani KnuutiHeart Center and PET Centre, Turku University Hospital and University of Turku, Turku, Finland.ORCID 0000-0003-3156-9593
Antti SarasteHeart Center and PET Centre, Turku University Hospital and University of Turku, Turku, Finland.ORCID 0000-0003-2488-0893
Ronny R BuechelDepartment of Nuclear Medicine, Cardiac Imaging, University Hospital and University of Zurich, Zurich, Switzerland.
Anna TeresinskaDepartment of Nuclear Medicine, National Institute of Cardiology, Warsaw, Poland.
Maria N PizziDepartment of Cardiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain.
Albert RoqueDepartment of Radiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain.ORCID 0000-0001-9738-3850
Rosa PoddigheCardiologia, ASL12 U.O.C., Viareggio, Italy.
Bart J MertensDepartment of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands.
Chiara CaselliInstitute of Clinical Physiology CNR, Viale Giuseppe Moruzzi 1, 56124 Pisa, Italy.
Oberdan ParodiCardiovascular Department, Fondazione Toscana G. Monasterio, Pisa, Italy.
Gualtiero PelosiInstitute of Clinical Physiology CNR, Viale Giuseppe Moruzzi 1, 56124 Pisa, Italy.
Arthur J ScholteDepartment of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands.ORCID 0000-0002-1762-2100
Istituto di Fisiologia Clinica · ITLeiden University Medical Center · NLFondazione Toscana Gabriele Monasterio · ITUniversity of Turku · FIVall d'Hebron Hospital Universitari · ESInstitute of Cardiology · PLUniversity of Pisa · ITUniversity of Zurich · CH

Funding

European Commission 689068
6 · The paper itself

Abstract

aimsTo date, no studies have investigated the association between lipid species and coronary plaque changes over time, quantitatively assessed by serial imaging. We aimed to prospectively determine the association between lipid species quantified by a plasma lipidomic analysis and coronary plaque changes according to composition assessed by a quantitative serial analysis of coronary computed tomography angiography (CTA). METHODS AND

resultsPatients with suspected coronary artery disease (CAD) undergoing baseline coronary CTA were prospectively enrolled by seven EU centres in the SMARTool study and submitted to clinical, molecular, and coronary CTA re-evaluation at follow-up (an inter-scan period of 6.39 ± 1.17 years). Out of 202 patients who were analysed in the SMARTool main clinical study, a lipidomic analysis was performed in 154 patients before the baseline coronary CTA, and this group was included in the present study. A quantitative CTA analysis was performed by using a separate core laboratory blinded from clinical data. In the univariable analysis, it was found that no lipid species were significantly associated with annual total and calcified plaque changes. After adjusting for clinical variables at baseline and statin use, it was found that three lipid species were significantly associated with non-calcified plaque progression. In detail, cholesteryl ester(20:3), sphingomyelin (SM)(40:3), and SM(41:1) were found to be positively related to non-calcified plaque progression (Bonferroni-adjusted P-values = 0.005, 0.016, and 0.004, respectively).

conclusionThe current study showed an independent relationship between specific lipid species determined by a plasma lipidomic analysis and non-calcified coronary plaque progression assessed by a serial, quantitative coronary CTA analysis.

Indexed as

Computed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseLipidomicsPlaque, AtheroscleroticAgedDisease ProgressionFemaleHumansLipidsMaleMiddle AgedProspective StudiesSeverity of Illness IndexLipidscoronary artery diseasecoronary computed tomography angiographycoronary plaque progressionlipid speciesnon-invasive coronary imaging

Identifiers

PMID38445505
PMCPMC11288758
OpenAlexW4392517022

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.