Evidence map›Paper›PMID 38003001›Full record

ReviewGenes2023

Pharmacogenomics of Cardiovascular Drugs for Atherothrombotic, Thromboembolic and Atherosclerotic Risk.

Alfredo Mauriello, Antonia Ascrizzi, Riccardo Molinari, Luigi Falco, Alfredo Caturano, Antonello D'Andrea, Vincenzo Russo

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 10% 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, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Genomics in Health and Biomedicine.Advances in experimental medicine and biology · 2026
    Review
  6. Association ofPharmaceuticals (Basel, Switzerland) · 2025
    Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
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.

Alfredo MaurielloCardiology Unit, Department of Medical Translational Science, University of Campania "Luigi Campania"-Monaldi Hospital, 80126 Naples, Italy.ORCID 0000-0001-7060-6938
Antonia AscrizziCardiology Unit, Department of Medical Translational Science, University of Campania "Luigi Campania"-Monaldi Hospital, 80126 Naples, Italy.
Riccardo MolinariCardiology Unit, Department of Medical Translational Science, University of Campania "Luigi Campania"-Monaldi Hospital, 80126 Naples, Italy.
Luigi FalcoCardiology Unit, Department of Medical Translational Science, University of Campania "Luigi Campania"-Monaldi Hospital, 80126 Naples, Italy.ORCID 0009-0005-5669-574X
Alfredo CaturanoDepartment of Experimental Medicine, University of Campania Luigi Vanvitelli, 80100 Naples, Italy.ORCID 0000-0001-7761-7533
Antonello D'AndreaCardiology Unit, Department of Medical Translational Science, University of Campania "Luigi Campania"-Monaldi Hospital, 80126 Naples, Italy.ORCID 0000-0002-9698-9145
Vincenzo RussoCardiology Unit, Department of Medical Translational Science, University of Campania "Luigi Campania"-Monaldi Hospital, 80126 Naples, Italy.ORCID 0000-0002-9227-0360
University of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewAdvances in pharmacogenomics have paved the way for personalized medicine. Cardiovascular diseases still represent the leading cause of mortality in the world. The aim of this review is to summarize the background, rationale, and evidence of pharmacogenomics in cardiovascular medicine, in particular, the use of antiplatelet drugs, anticoagulants, and drugs used for the treatment of dyslipidemia. RECENT

findingsRandomized clinical trials have supported the role of a genotype-guided approach for antiplatelet therapy in patients with coronary heart disease undergoing percutaneous coronary interventions. Numerous studies demonstrate how the risk of ineffectiveness of new oral anticoagulants and vitamin K anticoagulants is linked to various genetic polymorphisms. Furthermore, there is growing evidence to support the association of some genetic variants and poor adherence to statin therapy, for example, due to the appearance of muscular symptoms. There is evidence for resistance to some drugs for the treatment of dyslipidemia, such as anti-PCSK9. SUMMARY: Pharmacogenomics has the potential to improve patient care by providing the right drug to the right patient and could guide the identification of new drug therapies for cardiovascular disease. This is very important in cardiovascular diseases, which have high morbidity and mortality. The improvement in therapy could be reflected in the reduction of healthcare costs and patient mortality.

Indexed as

Cardiovascular AgentsCardiovascular DiseasesDyslipidemiasAnticoagulantsHumansPharmacogeneticsAnticoagulantsCardiovascular Agentsadverse drug reactionsanticoagulantsantiplateletsclinical implementationpharmacogenetics

Identifiers

PMID38003001
PMCPMC10671139
OpenAlexW4388526543

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.