Evidence mapPaperPMID 34145378Full record

ArticleScientific reports2021

Lipid biomarkers in statin users with coronary artery disease annotated by coronary computed tomography angiography.

Elena Michelucci, Nicoletta Di Giorgi, Francesco Finamore, Jeff M Smit, Arthur J H A Scholte, Giovanni Signore, Silvia Rocchiccioli

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Linking Lipidomics to Vulnerable Coronary Plaques: A PROSPECT II Substudy.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Article
  4. Article
  5. Article
  6. Deciphering Acute Coronary Syndromes Pathobiology Through Proteomics.Journal of cardiovascular development and disease · 2025
    Review
  7. Article
  8. Article
  9. 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

7 authors at 3 institutions in 2 countries.

Elena Michelucci *Istituto di Fisiologia Clinica-CNR, via Giuseppe Moruzzi 1, 56124, Pisa, Italy. emichelucci@ifc.cnr.it.
Nicoletta Di Giorgi *Istituto di Fisiologia Clinica-CNR, via Giuseppe Moruzzi 1, 56124, Pisa, Italy.
Francesco FinamoreIstituto di Fisiologia Clinica-CNR, via Giuseppe Moruzzi 1, 56124, Pisa, Italy.
Jeff M SmitDepartment of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Arthur J H A ScholteDepartment of Cardiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands.
Giovanni SignoreFondazione Pisana per la Scienza Onlus, via Ferruccio Giovannini 13, 56017, San Giuliano Terme, Italy.
Silvia RocchiccioliIstituto di Fisiologia Clinica-CNR, via Giuseppe Moruzzi 1, 56124, Pisa, Italy. silvia.rocchiccioli@ifc.cnr.it.
Istituto di Fisiologia Clinica · ITLeiden University Medical Center · NLFondazione Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular markers are suggested to improve the diagnostic and prognostic accuracy in patients with coronary artery disease (CAD) beyond current clinical scores based on age, gender, symptoms and traditional risk factors. In this context, plasma lipids are emerging as predictors of both plaque composition and risk of future events. We aim to identify plasma lipid biomarkers associated to CAD indexes of stenosis severity, plaque lipid content and a comprensive score of CAD extent and its risk. We used a simple high performance liquid chromatography-tandem mass spectrometry method to identify 69 plasma lipids in 132 subjects referred to Coronary Computed Tomography Angiography (CCTA) for suspected CAD, all under statin treatment. Patients were stratified in groups using three different CCTA-based annotations: CTA-risk score, lipid plaque prevalence (LPP) ratio and the coronary artery disease-reporting and data system (CAD-RADS). We identified a common set of lipid biomarkers composed of 7 sphingomyelins and 3 phosphatidylethanolamines, which discriminates between high risk CAD patients and controls regardless of the CAD annotations used (CTA score, LPP ratio, or CAD-RADS). These results highlight the potential of circulating lipids as biomarkers of stenosis severity, non calcified plaque composition and overall plaque risk of events.

Indexed as

BiomarkersCoronary AngiographyHydroxymethylglutaryl-CoA Reductase InhibitorsCoronary Artery DiseaseHumansLipidsPrognosisSeverity of Illness IndexBiomarkersHydroxymethylglutaryl-CoA Reductase InhibitorsLipids

Identifiers

PMID34145378
PMCPMC8213699
OpenAlexW3173017648

What Socratic holds

Textmetadata
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.