Evidence map›Paper›PMID 30135636›Full record

ReviewCentral-European journal of immunology2018

The role of pharmacogenetics of cytochrome P450s in phenytoin-induced DRESS syndrome.

Ümit Yaşar

Open access · goldAbstract readReview
In one paragraph

Review in Central-European journal of immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. ABCB1 in dermatology: roles in skin diseases and their treatment.Journal of molecular medicine (Berlin, Germany) · 2021
    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

1 author at 1 institution in 1 country.

Ümit YaşarDepartment of Medical Pharmacology, Faculty of Medicine, Hacettepe University, Ankara, Turkey.
Hacettepe University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anil et al. (2017) report a patient who presented with drug rash with eosinophilia and systemic symptom (DRESS) syndrome. It may be induced by various drugs. In the mentioned report DRESS syndrome has been attributed to phenytoin use. CYP2C9 is a genetically polymorphic enzyme, and decreased metabolism of many drugs has been reported in the subjects carrying variants of rs1799853 and rs1057910, which were designated as CYP2C9*2 and *3. rs3758581, the variant investigated by Anil et al., is a genetic variant of CYP2C19 (not that of CYP2C9, as stated and discussed in the report). CYP2C19 is also a highly genetically polymorphic enzyme, and rs3758581 may be present in 40 different haplotypes of CYP2C19 including *2 and *17 (for detailed information: www.pharmvar.org/gene/CYP2C19). Detection of rs3758581 is not sufficient because the patient presented by Anil H et al. may have CYP2C19*2, CYP2C19*17, or any other variant due to the co-appearance of other possible genetic variations. It is of importance to perform the correct genetic analysis because CYP2C19*2 is associated with low enzyme activity but CYP2C19*17 is associated with increased enzyme activity. CYP2C9 is a major enzyme responsible for the metabolism of phenytoin. CYP2C9*2 (rs1799853) and *3 (rs1057910) should be considered in a Caucasian subject. CYP2C19 (especially *2 and *17) and ABCB1 polymorphisms may also be considered for the evaluation of the patient. Additionally, serum phenytoin levels would be helpful to understand the contribution of genetic polymorphisms on the pharmacokinetics of phenytoin in the patients presenting side effects like DRESS syndrome.

Indexed as

cytochrome P450DRESS syndromegenetic polymorphismphenytoin

Identifiers

PMID30135636
PMCPMC6102610
OpenAlexW2885961678

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.