Evidence map›Paper›PMID 39228222›Full record

ArticleJournal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners2025

Implementation of a pharmacist-guided pharmacogenomics dosing service at a rural NCI-designated comprehensive cancer center.

Jenna K Green, Laura J Hackett, Donald C Green, Sophie J Deharvengt, Gabriel A Brooks, Wahab A Khan, Gregory J Tsongalis, Lionel D Lewis, Parth S Shah

Abstract read
In one paragraph

Article in Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners, 2025. 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

9 authors.

Jenna K GreenDartmouth Hitchcock Medical Center, Lebanon, NH.ORCID 0009-0004-4650-5204
Laura J HackettDartmouth Hitchcock Medical Center, Lebanon, NH.
Donald C GreenDartmouth Hitchcock Medical Center, Lebanon, NH.
Sophie J DeharvengtDartmouth Hitchcock Medical Center, Lebanon, NH.
Gabriel A BrooksDartmouth Hitchcock Medical Center, Lebanon, NH.
Wahab A KhanDartmouth Hitchcock Medical Center, Lebanon, NH.
Gregory J TsongalisDartmouth Hitchcock Medical Center, Lebanon, NH.
Lionel D LewisDartmouth Hitchcock Medical Center, Lebanon, NH.
Parth S ShahDartmouth Hitchcock Medical Center, Lebanon, NH.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
NCI NIH HHS P30 CA023108
6 · The paper itself

Abstract

IntroductionThe goal of pharmacogenetic testing is to identify genetic variants with significant implications on drug safety and efficacy. Several professional organizations and institutions have demonstrated the value of pharmacist involvement in the implementation of pharmacogenomic services. Therefore, we aimed to establish a pharmacist-guided model for interpretation of pharmacogenetic results for all oncology patients seen at the Dartmouth Cancer Center (DCC) in Lebanon, NH.MethodsA pilot of a pharmacist-guided pharmacogenomics dosing service was implemented at the DCC. Pharmacy services included review of results from a next generation sequencing panel for

Indexed as

Antineoplastic AgentsCancer Care FacilitiesNeoplasmsPharmacistsPharmacogeneticsPharmacogenomic TestingAdultAgedElectronic Health RecordsFemaleHumansLebanonMaleMiddle AgedNational Cancer Institute (U.S.)Pilot ProjectsAntineoplastic Agentsoncologypharmacist servicepharmacogeneticsPharmacogenomicspharmacy practice

Identifiers

PMID39228222
PMCPMC12893197

What OpenQuestion holds

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Registered trials

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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.