Evidence map›Paper›PMID 31570103›Full record

Observational studyCardiovascular diabetology2019

Pericoronary fat inflammation and Major Adverse Cardiac Events (MACE) in prediabetic patients with acute myocardial infarction: effects of metformin.

Celestino Sardu, Nunzia D'Onofrio, Michele Torella, Michele Portoghese, Francesco Loreni, Simone Mureddu, Giuseppe Signoriello, Lucia Scisciola, Michelangela Barbieri, Maria Rosaria Rizzo and 5 more

Registry-linked trialOpen access · goldFull text readComparative StudyMulticenter StudyObservational Study
In one paragraph

Observational study in Cardiovascular diabetology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03360981 (Epicardial Fat Evaluation to Predict Clinical Outcomes in Patients Affected by Coronary Artery Disease and Treated by Coronary Artery Bypass Grafting), which is not on this map. Cited by 64 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 2 pooled it
7.7field-weighted citation impact, top 2% 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.

NCT03360981 phase4completednot on this map

Epicardial Fat Evaluation to Predict Clinical Outcomes in Patients Affected by Coronary Artery Disease and Treated by Coronary Artery Bypass Grafting: Diabetic vs. Non Diabetic Patients, and Incretin Therapy Effect; The EPI.FAT.IN Study

TypeinterventionalSponsorUniversity of Campania Luigi VanvitelliRan2017 to 2025Enrolled150ConditionsDiabetes, Coronary Artery DiseaseArmsIncretins
3 · Its place in the literature

Who cites it

64 citing papers in PubMed, 2 syntheses or guidelines pooled it, 104 citations in OpenAlex.

  1. Pooled it
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  5. Metformin Beyond Glycemic Control: Cardiovascular Protection and Diabetes Prevention.Journal of cardiovascular development and disease · 2026
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4 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Celestino SarduDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Piazza Miraglia, 2, 80138, Naples, Italy.
Nunzia D'OnofrioDepartment of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.
Michele TorellaDepartment of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.
Michele PortogheseDepartment of Cardiac Surgery, Santissima Annunziata Hospital, Sassari, Italy.
Francesco LoreniDepartment of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.
Simone MuredduDepartment of Cardiac Surgery, Santissima Annunziata Hospital, Sassari, Italy.
Giuseppe SignorielloDepartment of Mental Health and Public Medicine, Section of Statistic, University of Campania "Luigi Vanvitelli", Naples, Italy.
Lucia ScisciolaDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Piazza Miraglia, 2, 80138, Naples, Italy.
Michelangela BarbieriDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Piazza Miraglia, 2, 80138, Naples, Italy.
Maria Rosaria RizzoDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Piazza Miraglia, 2, 80138, Naples, Italy.
Marilena GaldieroDepartment of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.
Marisa De FeoDepartment of Translational Medical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.
Maria Luisa BalestrieriDepartment of Precision Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.
Giuseppe PaolissoDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Piazza Miraglia, 2, 80138, Naples, Italy.
Raffaele MarfellaDepartment of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Piazza Miraglia, 2, 80138, Naples, Italy. raffaele.marfella@unicampania.it.ORCID 0000-0003-3960-9270
University of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesPericoronary adipose tissue inflammation might lead to the development and destabilization of coronary plaques in prediabetic patients. Here, we evaluated inflammation and leptin to adiponectin ratio in pericoronary fat from patients subjected to coronary artery bypass grafting (CABG) for acute myocardial infarction (AMI). Furthermore, we compared the 12-month prognosis of prediabetic patients compared to normoglycemic patients (NG). Finally, the effect of metformin therapy on pericoronary fat inflammation and 12-months prognosis in AMI-prediabetic patients was also evaluated.

methodsAn observational prospective study was conducted on patients with first AMI referred for CABG. Participants were divided in prediabetic and NG-patients. Prediabetic patients were divided in two groups; never-metformin-users and current-metformin-users receiving metformin therapy for almost 6 months before CABG. During the by-pass procedure on epicardial coronary portion, the pericoronary fat was removed from the surrounding stenosis area. The primary endpoints were the assessments of Major-Adverse-Cardiac-Events (MACE) at 12-month follow-up. Moreover, inflammatory tone was evaluated by measuring pericoronary fat levels of tumor necrosis factor-α (TNF-α), sirtuin 6 (SIRT6), and leptin to adiponectin ratio. Finally, inflammatory tone was correlated to the MACE during the 12-months follow-up.

resultsThe MACE was 9.1% in all prediabetic patients and 3% in NG-patients. In prediabetic patients, current-metformin-users presented a significantly lower rate of MACE compared to prediabetic patients never-metformin-users. In addition, prediabetic patients showed higher inflammatory tone and leptin to adiponectin ratio in pericoronary fat compared to NG-patients (P < 0.001). Prediabetic never-metformin-users showed higher inflammatory tone and leptin to adiponectin ratio in pericoronary fat compared to current-metformin-users (P < 0.001). Remarkably, inflammatory tone and leptin to adiponectin ratio was significantly related to the MACE during the 12-months follow-up.

conclusionPrediabetes increase inflammatory burden in pericoronary adipose tissue. Metformin by reducing inflammatory tone and leptin to adiponectin ratio in pericoronary fat may improve prognosis in prediabetic patients with AMI. Trial registration Clinical Trial NCT03360981, Retrospectively Registered 7 January 2018.

Indexed as

Coronary Artery BypassAdiponectinAdipose TissueAgedBiomarkersFemaleHumansHypoglycemic AgentsInflammation MediatorsItalyLeptinMaleMetforminMiddle AgedMyocardial InfarctionPrediabetic StateAdiponectinADIPOQ protein, humanBiomarkersHypoglycemic AgentsInflammation MediatorsLEP protein, humanLeptinMetforminSIRT6 protein, humanSirtuinsTNF protein, humanTumor Necrosis Factor-alphaAcute myocardial infarctionAdipokinesInflammationMetforminPericoronary fatPrediabetes

Identifiers

PMID31570103
PMCPMC6767640
OpenAlexW2977761813

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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.