Evidence map›Paper›PMID 38204221›Full record

ReviewCurrent cardiology reviews2024

Genetic Determinants of Response to Statins in Cardiovascular Diseases.

Ghazaleh Ghorbannezhad, Shima Mehrabadi, Negar Golampour-Shamkani, Amirhossein Barjasteh, Poorya Etesamizadeh, Mohammad Tayyebi, Majid Khazaei, Seyed Mahdi Hassanian, Gordon A Ferns, Amir Avan

Abstract readReview
In one paragraph

Review in Current cardiology reviews, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Review
  2. Narrative Review of Management Strategies and Risk Mitigation for Gastrointestinal Bleeding in Atrial Fibrillation Patients Receiving Warfarin.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

10 authors.

Ghazaleh GhorbannezhadStudent Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Shima MehrabadiMedical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Negar Golampour-ShamkaniStudent Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Amirhossein BarjastehStudent Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Poorya EtesamizadehStudent Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad TayyebiDepartment of Cardiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Majid KhazaeiMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Seyed Mahdi HassanianMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Gordon A FernsBrighton & Sussex Medical School, Division of Medical Education, Falmer, Brighton, Sussex BN1 9PH, UK.
Amir AvanMedical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

Mashhad University of Medical Sciences, Iran 941684
6 · The paper itself

Abstract

Despite extensive efforts to identify patients with cardiovascular disease (CVD) who could most benefit from the treatment approach, patients vary in their benefit from therapy and propensity for adverse drug events. Genetic variability in individual responses to drugs (pharmacogenetics) is considered an essential determinant in responding to a drug. Thus, understanding these pharmacogenomic relationships has led to a substantial focus on mechanisms of disease and drug response. In turn, understanding the genomic and molecular bases of variables that might be involved in drug response is the main step in personalized medicine. There is a growing body of data evaluating drug-gene interactions in recent years, some of which have led to FDA recommendations and detection of markers to predict drug responses (e.g., genetic variant in VKORC1 and CYP2C9 genes for prediction of drug response in warfarin treatment). Also, statins are widely prescribed drugs for the prevention of CVD. Atorvastatin, fluvastatin, rosuvastatin, simvastatin, and lovastatin are the most common statins used to manage dyslipidemia. This review provides an overview of the current knowledge on the pharmacogenetics of statins, which are being used to treat cardiovascular diseases.

Indexed as

Cardiovascular DiseasesHydroxymethylglutaryl-CoA Reductase InhibitorsPharmacogeneticsHumansHydroxymethylglutaryl-CoA Reductase InhibitorsAtorvastatincardiologyCardiovascular diseasedrug-gene interactionsFDAfluvastatin.pharmacogeneticsstatin

Identifiers

PMID38204221
PMCPMC11107471

What Socratic holds

Texttitle and abstract
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 Socratic graph.