Evidence map›Paper›PMID 42042845›Full record

ArticlePharmacy (Basel, Switzerland)2026

Assessing the Frequency, Prescribing Patterns, and Characteristics of Patients Receiving Drugs with Pharmacogenomic (PGx) Guidelines Through an EMR: Follow-Up Analysis 5 Years Later.

George E MacKinnon, Megan Mills, Ulrich Broeckel

Abstract read
In one paragraph

Article in Pharmacy (Basel, Switzerland), 2026. 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
–field-weighted citation impact
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.

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

3 authors.

George E MacKinnonSchool of Pharmacy, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Megan MillsDepartment of Pharmacy, Froedtert and Medical College of Wisconsin, Milwaukee, WI 53226, USA.ORCID 0009-0006-0624-4649
Ulrich BroeckelSchool of Pharmacy, Medical College of Wisconsin, Milwaukee, WI 53226, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: This follow-up retrospective analysis used electronic medical record (EMR) data from a health system to identify patients and medications prescribed in accordance with Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines. (2) Methods: This analysis included EMR data from a clinical research data warehouse encompassing 928,291 patients seen at an academic medical center between 2020 and 2024. The study evaluated 75 commercially available medications linked to 52 evidence-based CPIC pharmacogenomic (PGx) guidelines. (3) Results: Of the 928,291 patient encounters, 709,673 medication orders were recorded, with 416,621 patients (44.8%) prescribed at least 1 of the 75 CPIC-associated medications. This compares with 845,518 patients who had an encounter in 2015-2019 with 590,526 medication orders, and 335,849 (56.9%) patients had medication orders represented by CPIC-associated medications. One to three CPIC-associated medications accounted for 76.6% of patients in 2020-2024 compared to 75.6% in 2015-2019. (4) Conclusions: The findings demonstrate that the proportion of patients prescribed a CPIC-actionable medication remained just under half of those evaluated within a single institution's EMR. About three-quarters of patients over the ten-year period had between one to three CPIC-associated medications identified, and the top five classes of medications remained the same in the two periods. This understanding of patient volume may help organizations as they begin to assess the implementation of PGx services.

Indexed as

electronic medical recordsevidence-based guidelinespharmacistspharmacogenomic drugspharmacogenomic testingpharmacy

Identifiers

PMID42042845
PMCPMC13120371

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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.