Evidence map›Paper›PMID 31361818›Full record

Observational studyAmerican journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists2019

Pharmacogenomic potential in advanced cancer patients.

Dan Nichols, Susanne Arnold, Heidi L Weiss, Jianrong Wu, Eric B Durbin, Rachel Miller, Jill Kolesar

Abstract readObservational Study
In one paragraph

Observational study in American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A systematic review of real-world evidence on the clinical relevance, characterization, and utility ofJournal of pharmacy & pharmaceutical sciences : a publication of the Canadian Society for Pharmaceutical Sciences, Societe canadienne des sciences pharmaceutiques · 2025
    Pooled it
  2. Article
  3. Overcoming Barriers to Discovery and Implementation of Equitable Pharmacogenomic Testing in Oncology.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Review
  4. Article
  5. Article
  6. Genophenotypic Factors and Pharmacogenomics in Adverse Drug Reactions.International journal of molecular sciences · 2021
    Review
  7. Article
  8. Article
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.

Dan NicholsUniversity of Kentucky HealthCare, Lexington, KY.
Susanne ArnoldUniversity of Kentucky College of Medicine, Lexington, KY.
Heidi L WeissUniversity of Kentucky College of Medicine, Lexington, KY.
Jianrong WuUniversity of Kentucky College of Medicine, Lexington, KY.
Eric B DurbinUniversity of Kentucky College of Medicine, Lexington, KY.
Rachel MillerUniversity of Kentucky College of Medicine, Lexington, KY.
Jill KolesarUniversity of Kentucky College of Pharmacy, Lexington, KY.

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Bernard Mark Evers · 2013 to 2026
$38.3M
NCI NIH HHS P30 CA177558
6 · The paper itself

Abstract

purposeThe prevalence of pharmacogenetically actionable medications in advanced cancer patients whose therapy may be optimized with genotype data was determined.

methodsPatients enrolled in our institutional molecular tumor board observational cohort were included in this study. Collected data included demographics, type(s) of cancer, and outpatient medications. Medications were classified as "pharmacogenetically actionable" if there are Clinical Pharmacogenetics Implementation Consortium (CPIC) therapeutic recommendations for that medication based on the presence of germline variations. The prevalence of pharmacogenetically actionable medications in the study population was determined, and the frequency of opportunities for pharmacogenetic prescribing and adverse event (AE) mitigation were estimated.

resultsIn a cohort of 193 patients with advanced cancer, 65% of patients were taking a pharmacogenetically actionable medication. Approximately 10% of the outpatient medications taken by the study population had a pharmacogenetic association. The most common pharmacogenetically actionable medications being used were ondansetron (47%), capecitabine (10%), and sertraline (7%). Using published genetic variation frequencies and AE risk, we conservatively estimated that 7.1% of cancer patients would be eligible for genetic-based medication adjustment, and 101 AEs would be prevented in 10,000 patients genotyped.

conclusionMedications with pharmacogenetic associations are used commonly in the advanced cancer patient population. This widespread exposure supports the implementation of prospective genotyping in the treatment of these high-risk patients.

Indexed as

Pharmacogenomic TestingAgedAntineoplastic AgentsBiomarkers, TumorCapecitabineDrug PrescriptionsFemaleHumansMaleMiddle AgedNeoplasmsOndansetronPharmacogenomic VariantsPrecision MedicineProspective StudiesRetrospective StudiesAntineoplastic AgentsBiomarkers, TumorCapecitabineOndansetronSertralineCancergermlineoncologypharmacogeneticspharmacogenomics

Identifiers

PMID31361818
PMCPMC7936720

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.