Evidence map›Paper›PMID 30498685›Full record

ReviewCardiovascular diagnosis and therapy2018

Impact of genetic polymorphisms on platelet function and response to anti platelet drugs.

Teresa Strisciuglio, Danilo Franco, Giuseppe Di Gioia, Chiara De Biase, Carmine Morisco, Bruno Trimarco, Emanuele Barbato

Open access · hybridAbstract readReview
In one paragraph

Review in Cardiovascular diagnosis and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

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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 1 institution in 1 country.

Teresa StrisciuglioDivision of Cardiology, Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Danilo FrancoDivision of Cardiology, Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Giuseppe Di GioiaDivision of Cardiology, Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Chiara De BiaseDivision of Cardiology, Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Carmine MoriscoDivision of Cardiology, Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Bruno TrimarcoDivision of Cardiology, Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Emanuele BarbatoDivision of Cardiology, Department of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
University of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular genomic consists in the identification of polymorphic genes responsible for the susceptibility to cardiovascular disease including coronary artery disease (CAD). Genes involved in platelet activation and aggregation play a key role in the predisposition to CAD. A considerable inter-variability of platelet response to agonists and to drugs exists and in particular the hyper-reactivity phenotype seems to be heritable. Besides glycoproteins and receptors expressed on platelets surface whose mutations significantly impact on platelet function, moreover researchers in the last decades have paid great attention to the genes involved in the response to anti-platelet drugs, considering their pivotal role in the treatment and outcomes of CAD patients especially those undergoing PCI. With the outbreak of advanced techniques developed to analyse human genetic footprints, researchers nowadays have shifted from genetic linkage analysis and a candidate gene approach toward genome-wide association (GWAS) studies and the analysis of miRNA-mRNA expression profiles.

Indexed as

Genetic polymorphismhigh on treatment platelet reactivityplatelets function

Identifiers

PMID30498685
PMCPMC6232354
OpenAlexW2808518834

What OpenQuestion holds

Textmetadata
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.