Evidence map›Paper›PMID 29099060›Full record

ArticleJournal of personalized medicine2017

Clinical Pharmacogenetics of Cytochrome P450-Associated Drugs in Children.

Ida Aka, Christiana J Bernal, Robert Carroll, Angela Maxwell-Horn, Kazeem A Oshikoya, Sara L Van Driest

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 46 citations in OpenAlex.

  1. A systematic review of real-world evidence on the clinical relevance, characterization, and utility ofJournal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2025
    Pooled it
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  11. Pharmacogenetic and clinical predictors of ondansetron failure in a diverse pediatric oncology population.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Article
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  20. Gene-Based Dose Optimization in Children.Annual review of pharmacology and toxicology · 2020
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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

6 authors at 1 institution in 1 country.

Ida AkaDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA. ida.t.aka@vanderbilt.edu.
Christiana J BernalDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA. christiana.j.bernal@vanderbilt.edu.
Robert CarrollDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA. robert.carroll@vanderbilt.edu.
Angela Maxwell-HornDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA. angela.c.maxwell-horn@vanderbilt.edu.
Kazeem A OshikoyaDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA. kazeemoshikoya@ymail.com.
Sara L Van DriestDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA. sara.van.driest@vanderbilt.edu.ORCID 0000-0003-2580-1405
Vanderbilt University Medical Center · US

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
CLINICAL PHARMACOLOGY TRAINING PROGRAMT32GM007569 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Bjorn C Knollmann · 1985 to 2026
$12.4M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)TL1TR000447 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$1.2M
NCATS NIH HHS TL1 TR000447NCATS NIH HHS UL1 TR002243NIGMS NIH HHS T32 GM007569
6 · The paper itself

Abstract

Cytochrome P450 (CYP) enzymes are commonly involved in drug metabolism, and genetic variation in the genes encoding CYPs are associated with variable drug response. While genotype-guided therapy has been clinically implemented in adults, these associations are less well established for pediatric patients. In order to understand the frequency of pediatric exposures to drugs with known CYP interactions, we compiled all actionable drug-CYP interactions with a high level of evidence using Clinical Pharmacogenomic Implementation Consortium (CPIC) data and surveyed 10 years of electronic health records (EHR) data for the number of children exposed to CYP-associated drugs. Subsequently, we performed a focused literature review for drugs commonly used in pediatrics, defined as more than 5000 pediatric patients exposed in the decade-long EHR cohort. There were 48 drug-CYP interactions with a high level of evidence in the CPIC database. Of those, only 10 drugs were commonly used in children (ondansetron, oxycodone, codeine, omeprazole, lansoprazole, sertraline, amitriptyline, citalopram, escitalopram, and risperidone). For these drugs, reports of the drug-CYP interaction in cohorts including children were sparse. There are adequate data for implementation of genotype-guided therapy for children for three of the 10 commonly used drugs (codeine, omeprazole and lansoprazole). For the majority of commonly used drugs with known CYP interactions, more data are required to support pharmacogenomic implementation in children.

Indexed as

cytochrome P450drug–gene interactionselectronic health recordspediatricspharmacogenomics

Identifiers

PMID29099060
PMCPMC5748626
OpenAlexW2766544664

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.