Evidence map›Paper›PMID 27066364›Full record

ArticleSpringerPlus2016

Relationship between cytochrome P450 polymorphisms and prescribed medication in elderly haemodialysis patients.

Krystina Parker, Willy Aasebø, Tore Haslemo, Knut Stavem

Open access · diamondAbstract read
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Article in SpringerPlus, 2016. 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
0.9field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

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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

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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, 5 citations in OpenAlex.

  1. Review
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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

4 authors at 3 institutions in 1 country.

Krystina ParkerMedical Division, Department of Nephrology, Akershus University Hospital, 1478 Lørenskog, Norway ; Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Willy AasebøMedical Division, Department of Nephrology, Akershus University Hospital, 1478 Lørenskog, Norway.
Tore HaslemoDepartment of Psychopharmacology, Diakonhjemmet Hospital, Oslo, Norway.
Knut StavemInstitute of Clinical Medicine, University of Oslo, Oslo, Norway ; Medical Division, Department of Pulmonary Medicine, Akershus University Hospital, Lørenskog, Norway ; HØKH, Department of Health Services Research, Akershus University Hospital, Lørenskog, Norway.
Akershus University Hospital · NODiakonhjemmet Hospital · NOUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElderly patients on haemodialysis have a high prevalence of polypharmacy and are at risk of drug-related complications. More than 80 % of all prescribed drugs are metabolized by the cytochrome P450 (CYP) enzyme system. The aims of this study were to describe the prevalence of polymorphism in three CYP isoenzymes and the relationship between CYP polymorphism and prescribed drugs.

methodsFifty-one elderly haemodialysis patients aged ≥65 years were included. CYP-genotyping was carried out in whole blood by a real-time PCR method for detecting common variant alleles in CYP2C9, CYP2C19 and CYP2D6. The allele frequencies were calculated using the Hardy-Weinberg equation.

resultsThe overall prevalence of CYP polymorphisms (heterozygous and homozygous) was 77 %. The prevalence of heterozygous carriers of variant alleles coding for defective CYP2D6, CYP2C9 and CYP2C19 was 64, 22 and 55 %, respectively; the prevalence of homozygous carriers was 6 % for each of the CYP2D6, CYP2C9 and CYP2C19 enzymes. The prevalence of the CYP2D6*6, CYP2D6*9 and CYP2D6*41 variant alleles did not differ (p = 0.31) from that in a European Caucasian reference population. Twenty-three patients (45 %) had at least one CYP mutation and used drugs that are metabolized by the CYP isoenzymes. Metoprolol and proton-pump inhibitors were the most commonly used drugs that could be affected by a heterozygous or homozygous mutation.

conclusionsPolymorphisms of CYP2C9, CYP2C19 and CYP2D6 are common in elderly haemodialysis patients. Many of these patients have a phenotype with altered CYP enzyme activity and could benefit from close drug monitoring or a drug switch.

Indexed as

Cytochrome P450ElderlyHaemodialysisMedication

Identifiers

PMID27066364
PMCPMC4801827
OpenAlexW2304477601

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Registered trials

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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.