Evidence map›Paper›PMID 41744104›Full record

Trial reportJournal of hypertension2026

Pharmacogenomics-guided personalized therapy for hypertension: a multicenter randomized trial.

Mingzhong Yu, Min Pan, Bangbang Huang, Jinmao Fan, Lijian Lin, Songbo Huang, Cuilian Dai, Weifang Kang, Jiajing Zhang, Lijuan Huang and 2 more

Abstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in Journal of hypertension, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Mingzhong YuDepartment of Geriatrics, the First Affiliated Hospital of Fujian Medical University.
Min PanDepartment of Geriatrics, the First Affiliated Hospital of Fujian Medical University.
Bangbang HuangDepartment of Geriatrics, the First Affiliated Hospital of Fujian Medical University.
Jinmao FanDepartment of Cardiology, Ningde East Fujian Hospital, Ningde.
Lijian LinDepartment of Cardiology, Fuzhou Changle District People's Hospital, Fuzhou.
Songbo HuangDepartment of Cardiology, Pucheng County Hospital, Nanping.
Cuilian DaiDepartment of Cardiology, Xiamen Cardiovascular Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen.
Weifang KangDepartment of Geriatrics, Nanping First Hospital Affiliated to Fujian Medical University, Nanping.
Jiajing ZhangXingang Community Health Service Center, Taijiang District, Fuzhou.
Lijuan HuangDepartment of Cardiology, Ningde Hospital Affiliated to Ningde Normal University, Ningde Normal University, Ningde, China.
Liangdi XieDepartment of Geriatrics, the First Affiliated Hospital of Fujian Medical University.
Li LuoDepartment of Geriatrics, the First Affiliated Hospital of Fujian Medical University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveUncontrolled hypertension presents a substantial challenge to healthcare systems. This study was designed to investigate whether pharmacogenomics-guided personalized medication regimens could enhance blood pressure control and medication optimization in patients with hypertension compared to conventional management approaches.

methodsIn this multicenter, single-blind, prospective, randomized controlled trial, 776 hypertensive outpatients were enrolled and allocated to either a personalized medication group or a control group across eight participating hospitals. All patients received 4 weeks of standardized hypertension management, followed by a first follow-up. Subsequently, the personalized medication group adjusted antihypertensive therapy according to seven predefined pharmacogenetic polymorphisms, while the control group continued standard treatment. After an additional 4 weeks, a second follow-up was performed to reassess blood pressure, medication utilization, and adverse events.

resultsThe personalized medication group achieved a notably higher blood pressure control rate compared to the control group, with female patients demonstrating particularly pronounced benefits. Additionally, the personalized medication group required fewer antihypertensive medications. The incidence of adverse events, including reactions to angiotensin II receptor blockers, angiotensin-converting enzyme inhibitors, β-blockers, calcium channel blockers, and diuretics, did not differ significantly between groups. Multifactorial analysis indicated that personalized medication significantly lowered the risk of uncontrolled blood pressure. Furthermore, the CYP2C9*3 gene variant was associated with uncontrolled blood pressure after standardized treatment.

conclusionPharmacogenomics-guided personalized medication regimens significantly improved blood pressure control and optimized medication usage without increasing adverse events. These findings highlight the potential of pharmacogenomics to guide precision therapy in hypertension management.

trial registrationChinese Clinical Trial Registry (ChiCTR2200057507). Registered 14 March 2022.

Indexed as

Antihypertensive AgentsHypertensionPharmacogeneticsPrecision MedicineAgedBlood PressureFemaleHumansMaleMiddle AgedProspective StudiesSingle-Blind MethodAntihypertensive Agentsblood pressure controlgene polymorphismshypertensionpersonalized medicationpharmacogenomics

Identifiers

PMID41744104
PMCPMC13034764

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.