Evidence map›Paper›PMID 40710411›Full record

ArticleJournal of personalized medicine2025

Clinician Experiences at the Frontier of Pharmacogenomics and Future Directions.

Stefan Thottunkal, Claire Spahn, Benjamin Wang, Nidhi Rohatgi, Jison Hong, Abha Khandelwal, Latha Palaniappan

Abstract readComment
In one paragraph

Article in Journal of personalized medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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.

Stefan ThottunkalDepartment of Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0003-3277-8610
Claire SpahnDepartment of Pharmacy, Stanford Heath Care, Palo Alto, CA 94305, USA.
Benjamin WangDepartment of Pharmacy, Stanford Heath Care, Palo Alto, CA 94305, USA.ORCID 0009-0009-6713-9086
Nidhi RohatgiDivision of Hospital Medicine, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0003-4574-0283
Jison HongDivision of Immunology & Rheumatology, Department of Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.ORCID 0000-0002-7192-5647
Abha KhandelwalDepartment of Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.
Latha PalaniappanDepartment of Medicine, Stanford University School of Medicine, Palo Alto, CA 94305, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmacogenomics (PGx) has emerged as a powerful tool to personalize drug selection and dosing based on a patient's genetic profile. However, there are a range of challenges that impede uptake in current clinical practice. For example, clinicians often express frustration with commercially available PGx panel tests, which fail to consistently include all key actionable PGx genes (according to the Clinical Pharmacogenetics Implementation Consortium (CPIC), Food and Drug Administration (FDA) PGx guidelines, or The Dutch Pharmacogenetics Working Group (DPWG) guidelines) and instead are too long with clinically unimportant information (unvalidated genotypes). Additionally, the lack of EMR integration, clinician education and awareness of the benefits of PGx impedes uptake. This paper examines key challenges identified in clinical practice and proposes future directions, focusing on limiting PGx reports to essential data, providing point-of-prescription alerts, and establishing reimbursement pathways that encourage adoption. Future directions include leveraging large language models, integrating point-of-prescription alerts and phenoconversion calculators into the electronic medical record, increasing the genomic diversity of PGx study populations, and streamlining coverage by payers.

Indexed as

adverse drug reactiongeneticsimplementationpharmacogenomicspharmacology

Identifiers

PMID40710411
PMCPMC12300132

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.