Evidence map›Paper›PMID 39545769›Full record

ArticlePharmacogenomics2024

Estimated clinical utility of multi-gene pharmacogenetic testing in a retrospective cohort of gynecology patients.

Glenda Hoffecker, Karl Keat, Lakeisha Mulugeta-Gordon, Marjorie Risman, Shefali S Verma, Mary Deagostino-Kelly, Sony Tuteja

Abstract read
In one paragraph

Article in Pharmacogenomics, 2024. 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

7 authors.

Glenda HoffeckerDepartment of Pharmacy, Penn Medicine Hospital of University of Pennsylvania, Philadelphia, PA, USA.
Karl KeatGenomics & Computational Biology PhD Program, University of Pennsylvania, Perelman School of Medicine, Philadelphia, PA, USA.
Lakeisha Mulugeta-GordonDivision of Gynecologic Oncology, Department of Obstetrics and Gynecology, Penn Medicine Hospital of University of Pennsylvania, Philadelphia, PA, USA.
Marjorie RismanDepartment of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Shefali S VermaDepartment of Pathology & Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Mary Deagostino-KellyDivision of General Obstetrics and Gynecology, Department of Obstetrics and Gynecology, Penn Medicine Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Sony TutejaDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Funding

Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
Clinical Implementation Resources for Pharmacogenomics (CIRP)U24HG013077 · NHGRI · STANFORD UNIVERSITY · PI CAUDLE, KELLY E., KLEIN, TERI ELLEN · 2023 to 2025
$4.4M
Augmenting Pharmacogenetics with Multi-Omics Data and Techniques to Predict Adverse Drug Reactions to NSAIDsF31HG013246 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI KEAT, KARL ERNST · 2023 to 2025
$97k
NCATS NIH HHS UL1 TR001878NHGRI NIH HHS F31 HG013246NHGRI NIH HHS U24 HG013077
6 · The paper itself

Abstract

objectiveThis study aimed to estimate the clinical utility of performing multi-gene pharmacogenetic testing on patients undergoing gynecologic surgery/procedure by evaluating the prescribing rate of Clinical Pharmacogenetics Implementation Consortium (CPIC) level A medications and frequency of drug-gene interactions (DGIs).

methodsThe electronic health record was queried for 76 current procedural terminology codes to identify gynecologic surgeries/procedures that occurred between 1 January 2015 to 31 December 2020 in patients with at least one of 152 international classification of disease codes. Prescription data for CPIC level A medications was extracted. Those enrolled in the Penn Medicine Biobank were assessed for DGIs.

resultsThe cohort consisted of 7798 female patients and 682 were in the biobank. Up to 6 years following their surgery or procedure, 80% were ordered ≥1 CPIC level A medication. Over half (54%) of these medications were ordered within 3 days after their surgery or procedure. The most common CPIC level A medications ordered were ibuprofen (57%) and ondansetron (42%). Overall, 7% of the cohort had ≥1 known or predicted DGI with medications they were prescribed.

conclusionMulti-gene pharmacogenetic testing may be beneficial to gynecologic surgery/procedure patients by assisting clinicians with prescribing postoperative analgesics and future medications.

Indexed as

Pharmacogenomic TestingAdultAgedCohort StudiesElectronic Health RecordsFemaleGynecologic Surgical ProceduresHumansMiddle AgedPharmacogeneticsRetrospective Studiesanalgesicsgynecologic surgerymulti-genepainPGxpharmacogeneticsPharmacogenomics

Identifiers

PMID39545769
PMCPMC11703490

What OpenQuestion holds

Textmetadata
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.