Evidence map›Paper›PMID 33557756›Full record

Observational studyBMC cardiovascular disorders2021

Correlation of the severity of coronary artery disease with patients' metabolic profile- rationale, design and baseline patient characteristics of the CorLipid trial.

Efstratios Karagiannidis, Georgios Sofidis, Andreas S Papazoglou, Olga Deda, Eleftherios Panteris, Dimitrios V Moysidis, Nikolaos Stalikas, Anastasios Kartas, Anastasios Papadopoulos, Leandros Stefanopoulos and 4 more

Registry-linked trialAbstract readObservational Study
In one paragraph

Observational study in BMC cardiovascular disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04580173 (Correlation of Clinical Types and Complexity of Coronary Artery Disease With Patients' Metabolic Profile), which is not on this map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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.

NCT04580173 unknown statusnot on this map

Correlation of Clinical Types and Complexity of Coronary Artery Disease With Patients' Metabolic Profile

Typeobservational_patient_registrySponsorAHEPA University HospitalRan2019 to 2021Enrolled1,050ConditionsCoronary Artery DiseaseArmsmetabolomics analysis
3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Trial
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  3. New Modifiable Risk Factors Influencing Coronary Artery Disease Severity.International journal of molecular sciences · 2024
    Review
  4. Article
  5. Article
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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

14 authors.

Efstratios KaragiannidisFirst Department of Cardiology, AHEPA University Hospital, Aristotle University of Thessaloniki, St. Kiriakidi 1, 54636, Thessaloniki, Greece.ORCID 0000-0001-8328-5942
Georgios SofidisFirst Department of Cardiology, AHEPA University Hospital, Aristotle University of Thessaloniki, St. Kiriakidi 1, 54636, Thessaloniki, Greece.ORCID 0000-0001-5802-0379
Andreas S PapazoglouFirst Department of Cardiology, AHEPA University Hospital, Aristotle University of Thessaloniki, St. Kiriakidi 1, 54636, Thessaloniki, Greece.ORCID 0000-0003-4981-8121
Olga DedaLaboratory of Forensic Medicine and Toxicology, School of Medicine, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.ORCID 0000-0003-3642-7367
Eleftherios PanterisLaboratory of Forensic Medicine and Toxicology, School of Medicine, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.ORCID 0000-0002-5846-388X
Dimitrios V MoysidisFirst Department of Cardiology, AHEPA University Hospital, Aristotle University of Thessaloniki, St. Kiriakidi 1, 54636, Thessaloniki, Greece.ORCID 0000-0001-9083-0267
Nikolaos StalikasFirst Department of Cardiology, AHEPA University Hospital, Aristotle University of Thessaloniki, St. Kiriakidi 1, 54636, Thessaloniki, Greece.ORCID 0000-0002-0190-5392
Anastasios KartasFirst Department of Cardiology, AHEPA University Hospital, Aristotle University of Thessaloniki, St. Kiriakidi 1, 54636, Thessaloniki, Greece.ORCID 0000-0002-1170-9133
Anastasios Papadopoulos1St Propaedeutic Internal Medicine Department, AHEPA Hospital Aristotle University of Thessaloniki, Thessaloniki, Greece.
Leandros StefanopoulosLab of Computing, Medical Informatics and Biomedical Imaging Technologies, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.ORCID 0000-0002-2682-5639
Haralambos KarvounisFirst Department of Cardiology, AHEPA University Hospital, Aristotle University of Thessaloniki, St. Kiriakidi 1, 54636, Thessaloniki, Greece.
Helen GikaLaboratory of Forensic Medicine and Toxicology, School of Medicine, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece.ORCID 0000-0002-1893-937X
Georgios TheodoridisBiomic_AUTh, CIRI-AUTH Center for Interdisciplinary Research and Innovation Aristotle University of Thessaloniki, 57001, Thessaloniki, Greece.ORCID 0000-0002-2015-108X
Georgios SianosFirst Department of Cardiology, AHEPA University Hospital, Aristotle University of Thessaloniki, St. Kiriakidi 1, 54636, Thessaloniki, Greece. gsianos@auth.gr.ORCID 0000-0002-3042-0757

Funding

European Social Fund project code: T1EDK-04005Greek National Fund project code: T1EDK-04005
6 · The paper itself

Abstract

backgroundCoronary artery disease (CAD) remains one of the leading causes of mortality and morbidity worldwide. As oxygen and nutrient supply to the myocardium significantly decrease during ischemic periods, important changes occur regarding myocardial intermediary energy metabolism. Metabolomics is an emerging field in systems biology, which quantifies metabolic changes in response to disease progression. This study aims to evaluate the diagnostic utility of plasma metabolomics-based biomarkers for determining the complexity and severity of CAD, as it is assessed via the SYNTAX score.

methodsCorlipid is a prospective, non-interventional cohort trial empowered to enroll 1065 patients with no previous coronary intervention history, who undergo coronary angiography in University Hospital AHEPA, Thessaloniki. Venous blood samples are collected before coronary angiography. State-of the-art analytical methods are performed to calculate the serum levels of novel biomarkers: ceramides, acyl-carnitines, fatty acids, and proteins such as galectin-3, adiponectin, and the ratio of apolipoprotein B/apolipoprotein A1. Furthermore, all patients will be categorized based on the indication for coronary angiography (acute coronary syndrome, chronic coronary syndrome, preoperative coronary angiography) and on the severity of CAD using the SYNTAX score. Follow-up of 12 months after enrollment will be performed to record the occurrence of major adverse cardiovascular events. A risk prediction algorithm will be developed by combining clinical characteristics with established and novel biomarkers to identify patients at high risk for complex CAD based on their metabolite signatures. The first patient was enrolled in July 2019 and completion of enrollment is expected until May 2021. DISCUSSION: CorLipid is an ongoing trial aiming to investigate the correlation between metabolic profile and complexity of coronary artery disease in a cohort of patients undergoing coronary angiography with the potential to suggest a decision-making tool with high discriminative power for patients with CAD. To our knowledge, Corlipid is the first study aspiring to create an integrative metabolomic biomarkers-based algorithm by combining metabolites from multiple classes, involved in a wide range of pathways with well-established biochemical markers. Trial registration CorLipid trial registration: ClinicalTrials.gov number: NCT04580173. Registered 8 October 2020-Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT04580173 .

Indexed as

MetabolomeMetabolomicsAlgorithmsBiomarkersBlood ProteinsCoronary AngiographyCoronary Artery DiseaseGreeceHumansLipidsPredictive Value of TestsPrognosisProspective StudiesResearch DesignSeverity of Illness IndexTime FactorsBiomarkersBlood ProteinsLipidsAcute coronary syndromeAtherosclerosisBiomarkersCarnitinesCeramidesCoronary artery diseaseMetabolic profileMetabolomicsPCISYNTAX score

Identifiers

PMID33557756
PMCPMC7869241

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Registered trials

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.