Evidence map›Paper›PMID 32657046›Full record

ReviewNew directions for child and adolescent development2020

The Pharmacogenetics of Efavirenz Metabolism in Children: The Potential Genetic and Medical Contributions to Child Development in the Context of Long-Term ARV Treatment.

Mei Tan, Megan Bowers, Phil Thuma, Elena L Grigorenko

Open access · greenAbstract readReview
In one paragraph

Review in New directions for child and adolescent development, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 53% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 4 institutions in 3 countries.

Mei TanUniversity of Houston.ORCID https://orcid.org/0000-0001-6408-6091
Megan BowersDurham University.
Phil ThumaMacha Research Trust.ORCID https://orcid.org/0000-0002-1508-4409
Elena L GrigorenkoUniversity of Houston, Baylor College of Medicine.
Baylor College of Medicine · USDurham University · GBGolden Valley Agricultural Research Trust · ZMUniversity of Houston · US

Funding

A Community-Based Evaluation of Interventions for Orphans and Vulnerable ChildrenR01HD085836 · NICHD · YALE UNIVERSITY · PI GRIGORENKO, ELENA L · 2015 to 2019
$2.6M
NICHD NIH HHS R01 HD085836
6 · The paper itself

Abstract

Efavirenz (EFV) is a well-known, effective anti-retroviral drug long used in first-line treatment for children and adults with HIV and HIV/AIDS. Due to its narrow window of effective concentrations, between 1 and 4 μg/mL, and neurological side effects at supratherapeutic levels, several investigations into the pharmacokinetics of the drug and its genetic underpinnings have been carried out, primarily with adult samples. A number of studies, however, have examined the genetic influences on the metabolism of EFV in children. Their primary goal has been to shed light on issues of appropriate pediatric dosing, as well as the manifestation of neurotoxic effects of EFV in some children. Although EFV is currently being phased out of use for the treatment of both adults and children, we share this line of research to highlight an important aspect of medical treatment that is relevant to understanding the development of children diagnosed with HIV.

Indexed as

AlkynesAnti-HIV AgentsBenzoxazinesCyclopropanesPharmacogeneticsReverse Transcriptase InhibitorsChildChild DevelopmentChild, PreschoolCytochrome P-450 CYP2B6HIV InfectionsHumansAlkynesAnti-HIV AgentsBenzoxazinesCyclopropanesCYP2B6 protein, humanCytochrome P-450 CYP2B6efavirenzReverse Transcriptase Inhibitors

Identifiers

PMID32657046
PMCPMC9015892
OpenAlexW3041705554

What OpenQuestion holds

Textmetadata
LicenceTDM
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.