Evidence map›Paper›PMID 34449608›Full record

ReviewDiseases (Basel, Switzerland)2021

Precision Medicine and Adverse Drug Reactions Related to Cardiovascular Drugs.

James D Noyes, Ify R Mordi, Alexander S Doney, Rahman Jamal, Chim C Lang

Open access · goldAbstract readReview
In one paragraph

Review in Diseases (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. A meta-analysis of the pooled impact ofFrontiers in genetics · 2023
    Pooled it
  2. Article
  3. Article
  4. Precision Adverse Drug Reactions Prediction with Heterogeneous Graph Neural Network.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

5 authors at 2 institutions in 2 countries.

James D NoyesDivision of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Dundee DD1 9SY, UK.ORCID 0000-0002-1878-1031
Ify R MordiDivision of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Dundee DD1 9SY, UK.ORCID 0000-0002-2686-729X
Alexander S DoneyDivision of Population Health and Genomics, School of Medicine, University of Dundee, Dundee DD1 9SY, UK.
Rahman JamalUKM Medical Molecular Biology Institute, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur 56000, Malaysia.
Chim C LangDivision of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Dundee DD1 9SY, UK.
University of Dundee · GBUniversity Kebangsaan Malaysia Medical Centre · MY

Funding

Medical Research Council MR/T018186/1UKRI Newton-Ungku fund (MR/T018186/1) MR/T018186/1
6 · The paper itself

Abstract

Cardiovascular disease remains the leading global cause of death. Early intervention, with lifestyle advice alongside appropriate medical therapies, is fundamental to reduce patient mortality among high-risk individuals. For those who live with the daily challenges of cardiovascular disease, pharmacological management aims to relieve symptoms and prevent disease progression. Despite best efforts, prescription drugs are not without their adverse effects, which can cause significant patient morbidity and consequential economic burden for healthcare systems. Patients with cardiovascular diseases are often among the most vulnerable to adverse drug reactions due to multiple co-morbidities and advanced age. Examining a patient's genome to assess for variants that may alter drug efficacy and susceptibility to adverse reactions underpins pharmacogenomics. This strategy is increasingly being implemented in clinical cardiology to tailor patient therapies. The identification of specific variants associated with adverse drug effects aims to predict those at greatest risk of harm, allowing alternative therapies to be given. This review will explore current guidance available for pharmacogenomic-based prescribing as well as exploring the potential implementation of genetic risk scores to tailor treatment. The benefits of large databases and electronic health records will be discussed to help facilitate the integration of pharmacogenomics into primary care, the heartland of prescribing.

Indexed as

adverse drug reactioncardiologyprecision medicine

Identifiers

PMID34449608
PMCPMC8396016
OpenAlexW3188914344

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.