Evidence map›Paper›PMID 31792369›Full record

ReviewThe pharmacogenomics journal2020

Drug-drug-gene interactions and adverse drug reactions.

Mustafa Adnan Malki, Ewan Robert Pearson

Abstract readReview
In one paragraph

Review in The pharmacogenomics journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 3 pooled it
–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

82 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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22 more citing papers are in PubMed but not listed here.

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

2 authors.

Mustafa Adnan MalkiPopulation Health & Genomics, School of Medicine, University of Dundee, Dundee, UK.
Ewan Robert PearsonPopulation Health & Genomics, School of Medicine, University of Dundee, Dundee, UK. e.z.pearson@dundee.ac.uk.

Funding

Wellcome Trust 102820/Z/13/Z
6 · The paper itself

Abstract

The economic and health burden caused by adverse drug reactions has increased dramatically in the last few years. This is likely to be mediated by increasing polypharmacy, which increases the likelihood for drug-drug interactions. Tools utilized by healthcare practitioners to flag potential adverse drug reactions secondary to drug-drug interactions ignore individual genetic variation, which has the potential to markedly alter the severity of these interactions. To date there have been limited published studies on impact of genetic variation on drug-drug interactions. In this review, we establish a detailed classification for pharmacokinetic drug-drug-gene interactions, and give examples from the literature that support this approach. The increasing availability of real-world drug outcome data linked to genetic bioresources is likely to enable the discovery of previously unrecognized, clinically important drug-drug-gene interactions.

Indexed as

AnimalsCytochrome P450 Family 2Drug InteractionsDrug-Related Side Effects and Adverse ReactionsHumansPharmaceutical PreparationsPharmacogeneticsTissue DistributionCytochrome P450 Family 2Pharmaceutical Preparations

Identifiers

PMID31792369
PMCPMC7253354

What OpenQuestion holds

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LicenceCC BY
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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.