Evidence map›Paper›PMID 40019504›Full record

ArticleEuropean journal of clinical pharmacology2025

Unravelling the implementation of pharmacogenetic testing in Belgium.

Jolyce Bourgeois, Elena Costa, Carl Devos, Janis Luyten, Sien Ombelet, Nancy Thiry, Frank Hulstaert

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Article in European journal of clinical pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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.

Jolyce BourgeoisBelgian Health Care Knowledge Centre (KCE), Brussels, Belgium. Jolyce.Bourgeois@kce.fgov.be.ORCID http://orcid.org/0000-0003-2821-6068
Elena CostaBelgian Health Care Knowledge Centre (KCE), Brussels, Belgium.
Carl DevosBelgian Health Care Knowledge Centre (KCE), Brussels, Belgium.
Janis LuytenBelgian Health Care Knowledge Centre (KCE), Brussels, Belgium.
Sien OmbeletBelgian Health Care Knowledge Centre (KCE), Brussels, Belgium.
Nancy ThiryBelgian Health Care Knowledge Centre (KCE), Brussels, Belgium.
Frank HulstaertBelgian Health Care Knowledge Centre (KCE), Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlthough already a lot of research has been done on pharmacogenetic tests to inform the choice and/or dosing of medicines, the implementation and clinical uptake remain limited. This study assessed the implementation of pharmacogenetic (PGx) testing on a national scale by analyzing access to and volumes of reimbursed PGx.

methodsThe use of pharmacogenetic tests was examined via a cross-sectional online survey among the Belgian laboratories, collecting data on PGx targets, testing volumes and technologies used. The focus was on reimbursed tests. Additional data were sourced from the national reimbursement database to describe uptake of testing per medication.

resultsThe uptake of PGx testing in Belgium varied by medication, with significant implementation for fluoropyrimidines, abacavir, and thiopurines. DPYD gene testing was the most frequently performed PGx test, due to endorsed (inter)national guidelines. Reimbursement rules shape access to PGx, with the majority of PGx tests performed in dedicated centers for human genetics (CHG). Access to HLA laboratories for HLA targets was not optimal and some laboratories without a CHG also included constitutional PGx targets in somatic oncology panels.

conclusionThis nationwide study demonstrates that in a country where the prescribers have access to a relatively extensive list of reimbursable PGx tests, the implementation of PGx testing is shaped by the presence of endorsed evidence-based clinical practice guidelines, as well as organizational and logistical factors.

Indexed as

PharmacogeneticsPharmacogenomic TestingBelgiumCross-Sectional StudiesHumansDPYDHLAPharmacogenetic testing; PharmacogeneticsPharmacogenomic; ImplementationTPMT

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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.