Evidence map›Paper›PMID 40478260›Full record

ArticleEuropean journal of clinical pharmacology2025

Pharmacogenomics-guided treatment versus conventional treatment in patients with Schizophrenia: Evaluation of medication adherence and switching rate.

Jiaqi Wang, Yuhang Yan, Liguang Duan, Binliang Tong, Xiaochuan Zhao, Shi Su, Mengqiang Zhao, Chaoli Chen, Yang Lun, Yueyao Luan and 6 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Jiaqi WangDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050000, Hebei, China.
Yuhang YanDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050000, Hebei, China.
Liguang DuanPharmacy Department, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Binliang TongPharmacy Department, The First Hospital of Hebei Medical University, Shijiazhuang, China.
Xiaochuan ZhaoDepartment of Psychiatry, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050000, Hebei, China.
Shi SuDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050000, Hebei, China.
Mengqiang ZhaoDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050000, Hebei, China.
Chaoli ChenDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050000, Hebei, China.
Yang LunDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050000, Hebei, China.
Yueyao LuanDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050000, Hebei, China.
Qixuan SunDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050000, Hebei, China.
Yuanyuan ZhaoKey Laboratory for Neuroimmunological Regulation and Mental Health of Hebei Province, Shijiazhuang, China.
Jing YuDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050000, Hebei, China.
Xiaoying GengSchool of Pharmacy, Hebei Medical University, Shijiazhuang, China.
Jincheng WangDepartment of Psychiatry, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050000, Hebei, China. Wjc19811125@126.com.
Chunhua ZhouDepartment of Clinical Pharmacy, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050000, Hebei, China. zhouchunhua@hebmu.edu.cn.ORCID http://orcid.org/0000-0003-1543-9000

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe main objective of this study was to systematically evaluate the effectiveness of pharmacogenomics-guided treatment (PGxT) and treatment-as-usual (TAU) in schizophrenia management through two key indicators: medication adherence and antipsychotic switching rate.

methodsThe study cohort comprised individuals with schizophrenia who were hospitalized between April 2022 and March 2024. The cohort was stratified into two groups: the PGxT and TAU. To address potential confounding between the groups, propensity score matching (PSM) was applied. The primary outcome measures were the proportions of patients with good medication adherence (≥ 80%) at three and six months after discharge and the antipsychotic switching rate.

resultsAmong the 420 patients in the PGxT and TAU groups obtained through propensity score matching, the proportions of patients with good medication adherence (≥ 80%) was 49.76% at three months and 33.10% at six months, with a significant difference between the follow-up periods (P < 0.001). During the three-month observation period, the proportion of patients demonstrating good adherence were significantly different (55.24% in PGxT group vs. 44.29% in TAU group; P = 0.032). The difference was also significant after six months (44.76% in PGxT group vs. 21.43% in TAU group; P < 0.001). Furthermore, the proportion of antipsychotic switching rate was lower in the PGxT group (25.71%) than in the TAU group (41.90%) (P < 0.001).

conclusionThis study observed an association between PGxT and higher adherence as well as lower medication switching rate in patients with schizophrenia, which suggests potential clinical utility of PGx testing.

Indexed as

Antipsychotic AgentsDrug SubstitutionPharmacogeneticsSchizophreniaAdultCohort StudiesFemaleHumansMaleMedication AdherenceMiddle AgedPropensity ScoreAntipsychotic AgentsAdherenceAntipsychoticPharmacogenomicsSchizophreniaSwitching rate

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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.