Evidence map›Paper›PMID 26447442›Full record

ArticleAmerican family physician2015

Pharmacogenetics: Using Genetic Information to Guide Drug Therapy.

Ku-Lang Chang, Kristin Weitzel, Siegfried Schmidt

Open access · greenAbstract read
In one paragraph

Article in American family physician, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 26 citations in OpenAlex.

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  5. Evaluation of an electronic health record Drug Interaction Customization Editor (DICE).American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Ku-Lang ChangUniversity of Florida College of Medicine, Gainesville, FL, USA.
Kristin WeitzelUniversity of Florida College of Pharmacy, Gainesville, FL, USA.
Siegfried SchmidtUniversity of Florida College of Medicine, Gainesville, FL, USA.
University of Florida · US

Funding

Sparking Advancements in Genomic MedicineU01HG007269 · NHGRI · UNIVERSITY OF FLORIDA · PI CAVALLARI, LARISA HUMMA, JOHNSON, JULIE A. · 2013 to 2024
$17.0M
NHGRI NIH HHS U01 HG007269
6 · The paper itself

Abstract

Clinical pharmacogenetics, the use of genetic data to guide drug therapy decisions, is beginning to be used for medications commonly prescribed by family physicians. However, clinicians are largely unfamiliar with principles supporting clinical use of this type of data. For example, genetic variability in the cytochrome P450 2D6 drug metabolizing enzyme can alter the clinical effects of some opioid analgesics (e.g., codeine, tramadol), whereas variability in the CYP2C19 enzyme affects the antiplatelet agent clopidogrel. If testing is performed, patients who are ultrarapid or poor metabolizers of CYP2D6 should avoid codeine use (and possibly tramadol, hydrocodone, and oxycodone) because of the potential for increased toxicity or lack of effectiveness. Patients undergoing percutaneous coronary intervention for acute coronary syndromes who are known to be poor metabolizers of CYP2C19 should consider alternate antiplatelet therapy (e.g., ticagrelor, prasugrel). Some guidelines are available that address appropriate drug therapy changes, and others are in development. Additionally, a number of clinical resources are emerging to support family physicians in the use of pharmacogenetics. When used appropriately, pharmacogenetic testing can be a practical tool to optimize drug therapy and avoid medication adverse effects.

Indexed as

Decision MakingPractice Guidelines as TopicDrug TherapyEducation, Medical, ContinuingGenotypeHumansPharmacogeneticsPolymorphism, GeneticUnited States

Identifiers

PMID26447442
PMCPMC4729205
OpenAlexW2403324463

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.