Evidence map›Paper›PMID 42799099›Full record

ReviewFrontiers in pharmacology2026

Implementation of preemptive pharmacogenetic testing: progress, puzzles and priorities from an implementation science perspective.

Rong Hu, Kaizhi Weng, Biyun Guo, Shuquan Zhuang, Junli Zhou, Zhiming Hong, Ping Lin, Chunping Wu, Zhiyuan Chen, Yue Wang and 5 more

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2026. 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

15 authors.

Rong HuDepartment of Hematology/Oncology, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fuzhou, China.
Kaizhi WengDepartment of Pediatric Hematology, Rheumatology and Nephrology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, China.
Biyun GuoDepartment of Pediatrics, The First Affiliated Hospital of Xiamen University, Xiamen, China.
Shuquan ZhuangDepartment of Pediatrics, Quanzhou First Hospital, Quanzhou, China.
Junli ZhouDepartment of Cardiovascular Medicine and Hematology, Xiamen Children's Hospital (Xiamen Branch of Children's Hospital of Fudan University), Xiamen, China.
Zhiming HongDepartment of Pediatrics, Quanzhou Children's Hospital, Quanzhou, China.
Ping LinDepartment of Hematology/Oncology, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fuzhou, China.
Chunping WuDepartment of Pediatric Hematology, Fujian Institute of Hematology, Fujian Provincial Key Laboratory on Hematology, Fujian Medical University Union Hospital, Fuzhou, China.
Zhiyuan ChenDepartment of Pediatric Hematology, Rheumatology and Nephrology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, China.
Yue WangDepartment of Pediatrics, The First Affiliated Hospital of Xiamen University, Xiamen, China.
Xiaofang WangDepartment of Pediatrics, Quanzhou First Hospital, Quanzhou, China.
Huiyan HuangDepartment of Pediatrics, Quanzhou Children's Hospital, Quanzhou, China.
Hui ZhangDepartment of Hematology/Oncology, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fuzhou, China.
Hao ZhengDepartment of Pediatric Hematology, Fujian Institute of Hematology, Fujian Provincial Key Laboratory on Hematology, Fujian Medical University Union Hospital, Fuzhou, China.
Yingyi HeDepartment of Hematology/Oncology, Fujian Children's Hospital (Fujian Branch of Shanghai Children's Medical Center), Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preemptive pharmacogenetics (PGx) testing, which leverages genetic variation to predict drug response and toxicity, represents a pivotal advancement in precision medicine. By predicting drug-gene interactions and guiding precision dosing, it demonstrates significant potential to enhance drug safety and efficacy. However, its integration into routine clinical practice still faces a substantial translational gap. This review examines preemptive PGx testing implementation through an implementation science lens, moving beyond clinical utility to synthesize the implementation landscape and identify systemic integration challenges. Over the past decade, a growing body of pragmatic implementation studies has systematically cataloged barriers and facilitators across multiple levels. Adoption metrics are now relatively well-documented, however, evidence on fidelity and long-term sustainability remains scarce, and most cost-effectiveness data derive from modeling rather than implementation trials. Successful implementation of preemptive PGx testing requires synergistic strategies across multiple domains, generating robust evidence through large-scale pragmatic trials, building health informatics infrastructure, and establishing multidisciplinary service. Critical to this transformation are standardized clinical workflows, comprehensive education for healthcare providers and patients, and active participation in collaborative networks to accelerate knowledge sharing. A persistent equity gap remains that nearly all published preemptive PGx implementation programs originate from high-income countries, underscoring the urgent need for context-adapted approaches in low- and middle-income settings. Emerging implementation frameworks might offer practical guidance for embedding equity into implementation design. This paradigm shift necessitates coordinated efforts from multi-stakeholders to bridge the translational gap, ultimately enabling equitable and sustainable PGx implementation across diverse healthcare settings.

Indexed as

barrierCFIRfacilitatorhealth equityimplementation sciencemulti-stakeholdersPEDALspreemptive pharmacogenetics testing

Identifiers

PMID42799099
PMCPMC13613977

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.