Evidence map›Paper›PMID 37436924›Full record

ArticleMilitary medicine2024

Assessing Clinical Utility of Pharmacogenetic Testing in the Military Health System.

Lydia D Hellwig, Clesson Turner, Cara Olsen, Joya Libbus, Bethelhem Markos, Tracey Koehlmoos, Mark Haigney, Mauricio De Castro, David Saunders

Open access · greenAbstract read
In one paragraph

Article in Military medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Lydia D HellwigThe Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD 20817, USA.ORCID 0000-0003-0592-3552
Clesson TurnerNational Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20894, USA.
Cara OlsenDepartment of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA.ORCID 0000-0002-2734-4511
Joya LibbusMilitary Cardiovascular Outcomes Research, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA.
Bethelhem MarkosMilitary Cardiovascular Outcomes Research, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA.
Tracey KoehlmoosDepartment of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA.ORCID 0000-0003-1377-8615
Mark HaigneyMilitary Cardiovascular Outcomes Research, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA.
Mauricio De CastroKeesler Air Force Base, 81st Medical Operations Squadron, Biloxi, MS 39534, USA.
David SaundersDepartment of Medicine, Uniformed Services University of the Health Sciences, Uniformed Services University, Bethesda,, MD 20814, USA.
Uniformed Services University of the Health Sciences · USHenry M. Jackson Foundation · USKeesler Medical Center · USNational Institutes of Health · US

Funding

Defense Health Agency Grant HU00011920029
6 · The paper itself

Abstract

introductionResponse to medications can differ widely among individual patients. Adverse drug reactions can lead to serious morbidity and mortality. Pharmacogenetic (PGx) testing can predict responses to medications and increased risks of adverse events where the genetic basis is understood. Several published manuscripts suggest positive impacts of systematic preemptive PGx testing. However, few studies have been conducted on PGx implementation in the Military Health System (MHS). MATERIAL AND

methodsA cross-sectional study of adult beneficiaries in a primary care clinic at a large military treatment facility was conducted in 2022. Participants underwent PGx genotyping of CYP2C19 and CYP2D6 genes at the Defense Health Agency Genetics Reference Laboratory. Participant medication lists were compared to the current Clinical Pharmacogenetic Implementation Consortium (CPIC) PGx gene-drug guidelines to assess potential actionability of these results.

resultsGenotyping of CYP2C19 and CYP2D6 in 165 MHS beneficiaries (mean age: 65 years) revealed that 81.2% of participants had at least one abnormal PGx finding. Among those with an abnormal PGx result, 65% were taking a medication listed on the CPIC website with an association with the particular gene in which the finding was identified. In addition, 78% of all of the participants in the study were taking at least one medication that is metabolized by CYP2C19 or CYP2D6 with associated CPIC guidelines.

conclusionsPharmacogenetic testing for CYP2C19 and CYP2D6 identified a substantial proportion of MHS patients at a single center who could benefit from evaluation of current medication regimens based on the CPIC guidelines. Individualized medical management may be warranted to a greater degree than previously recognized based on the findings given possible differences in medication metabolism. Many MHS beneficiaries already take medications metabolized by CYP2C19 and CYP2D6, and a substantial proportion may be at risk for preventable adverse events for medications metabolized by these enzymes. While preliminary, a large number of actionable polymorphisms among a relatively small set of individuals taking at-risk medications suggest that implementing PGx testing in clinical practice may be beneficial in the MHS with appropriate clinical infrastructure.

Indexed as

Cytochrome P-450 CYP2D6Military Health ServicesAdultAgedCross-Sectional StudiesCytochrome P-450 CYP2C19HumansPharmacogenomic TestingCytochrome P-450 CYP2C19Cytochrome P-450 CYP2D6

Identifiers

PMID37436924
PMCPMC11022329
OpenAlexW4384028682

What OpenQuestion holds

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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.