Evidence map›Paper›PMID 31940748›Full record

ArticleBiomolecules2020

Design and Rationale of the ERA-CVD Consortium PREMED-CAD-Precision Medicine in Coronary Artery Disease.

Apurva Shrivastava, Vincenzo Marzolla, Henri Weidmann, Massimiliano Caprio, David-Alexandre Tregouet, Tanja Zeller, Mahir Karakas

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 53% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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 4 institutions in 4 countries.

Apurva ShrivastavaClinic for Cardiology, University Medical Center Eppendorf, 20246 Hamburg, Germany.
Vincenzo MarzollaLaboratory of Cardiovascular Endocrinology, IRCCS San Raffaele Pisana, 00163 Rome, Italy.ORCID 0000-0002-2943-7631
Henri WeidmannClinic for Cardiology, University Medical Center Eppendorf, 20246 Hamburg, Germany.
Massimiliano CaprioLaboratory of Cardiovascular Endocrinology, IRCCS San Raffaele Pisana, 00163 Rome, Italy.ORCID 0000-0003-0722-7163
David-Alexandre TregouetINSERM, U1219 Bordeaux Population Health research center, University of Bordeaux, 33076 Bordeaux, France.
Tanja ZellerClinic for Cardiology, University Medical Center Eppendorf, 20246 Hamburg, Germany.
Mahir KarakasClinic for Cardiology, University Medical Center Eppendorf, 20246 Hamburg, Germany.
Universität Hamburg · DEIRCCS Ospedale San Raffaele · ITThe Open University · GBUniversité de Bordeaux · FR

Funding

European Research Network (ERA-Net PREMED-CAD) 01KL1807
6 · The paper itself

Abstract

Cardiovascular diseases (CVDs) comprise 45% of all deaths in Europe and causes 3.9 million deaths annually. Coronary artery disease (CAD) which includes myocardial infarction (MI) represents the most common form of CVD. A relevant proportion of MI cases seems preventable since reports claim that up to two-thirds of these patients exhibit symptoms suggestive for MI within 12 months prior to the acute MI event. An early identification of these at-risk subjects is necessary to manage an early and efficient treatment during the ischemic phase. The aim of the PRecision MEDicine in Coronary Artery Disease (PREMED-CAD) consortium is to apply a system medicine approach towards studying and identifying an ischemia specific 'biomarker signature' that improves the identification of individuals 'at-risk' for acute MI. The consortium will take an interdisciplinary and translational approach integrating knowledge from CAD epidemiology, imaging, bioinformatics, statistics and molecular biology, as well as existing phenotypic, blood-based and clinical biomarker data of distinct CAD and subclinical MI phenotypes. This biomarker signature will be validated through atherosclerosis-prone mouse models and human cohorts. The validated signature will be translated in a real-world clinical setting using an ongoing clinical trial comprising patients with subclinical ischemia. The aim of the knowledge obtained from this project is to aid in early MI detection and reduce the mortality and morbidity rate in these at-risk MI individuals.

Indexed as

AnimalsBiomarkersComputational BiologyCoronary Artery DiseaseFemaleHumansMaleMiceMyocardial InfarctionPrecision MedicineRisk FactorsBiomarkersat-riskbiomarkerclinical trialcoronary artery diseaseischemiamyocardial infarctionprecision medicinePREMED-CAD

Identifiers

PMID31940748
PMCPMC7022893
OpenAlexW3000110523

What OpenQuestion 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 OpenQuestion graph.