Evidence map›Paper›PMID 33420348›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2021

Patients dispensed medications with actionable pharmacogenomic biomarkers: rates and characteristics.

Dianbo Liu, Karen L Olson, Shannon F Manzi, Kenneth D Mandl

Open access · greenAbstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

10 citing papers in PubMed, 11 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

4 authors at 1 institution in 1 country.

Dianbo Liu *Computational Health Informatics Program, Boston Children's Hospital; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
Karen L Olson *Computational Health Informatics Program, Boston Children's Hospital; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
Shannon F ManziComputational Health Informatics Program and Department of Pharmacy, Boston Children's Hospital; Department of Pediatrics, Harvard Medical School, Boston, MA, USA.
Kenneth D MandlComputational Health Informatics Program, Boston Children's Hospital; Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA. Kenneth_Mandl@Harvard.edu.ORCID http://orcid.org/0000-0002-9781-0477
Boston Children's Hospital · US

Funding

Instrumenting the Delivery System for a Genomics Research Information CommonsU01TR002623 · NCATS · BOSTON CHILDREN'S HOSPITAL · PI MANDL, KENNETH D. · 2019 to 2024
$8.6M
Instrumenting i2b2 for Improved Medication Research: Adding the Patient VoiceR01GM104303 · NIGMS · BOSTON CHILDREN'S HOSPITAL · PI MANDL, KENNETH D. · 2013 to 2016
$1.6M
NCATS NIH HHS U01 TR002623NIGMS NIH HHS R01 GM104303
6 · The paper itself

Abstract

purposePharmacogenomic biomarkers are increasingly listed on medication labels and authoritative guidelines but pharmacogenomic-guided prescribing is not yet common. Our objective was to assess the potential for incorporating knowledge of patients' genomic characteristics into prescribing practices.

methodsWe performed a retrospective analysis of claims data for 2,096,971 beneficiaries with pharmacy coverage from a national, commercial health insurance plan between January 2017 and December 2019. Children between 0 and 17 years comprised 21% of the cohort. Adults were age 18 to 64. Medications with actionable pharmacogenomic biomarkers (MAPBs) were identified using public information from the US Food and Drug Administration (FDA), Clinical Pharmacogenomics Implementation Consortium (CPIC), and PharmGKB.

resultsMAPBs were dispensed to 63% of the adults and 29% of the children in the cohort. Most frequently dispensed were ibuprofen, ondansetron, codeine, and oxycodone. Most common were medications with CYP2D6, G6PD, or CYPC19 pharmacogenomic biomarkers. Ten percent of the cohort were codispensed more than one MAPB for at least 30 days.

conclusionThe number of people who might benefit from pharmacogenomic-guided prescribing is substantial. Future work should address obstacles to integrating genomic data into prescriber workflows, complex factors contributing to the magnitude of benefit, and the clinical availability of reliable on-demand or pre-emptive pharmacogenomic testing.

Indexed as

PharmacogeneticsPharmacogenomic TestingAdolescentAdultBiomarkersChildDrug LabelingHumansMiddle AgedRetrospective StudiesYoung AdultBiomarkers

Identifiers

PMID33420348
PMCPMC9067543
OpenAlexW3119851976

What OpenQuestion holds

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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.