Evidence map›Paper›PMID 37273173›Full record

SynthesisClinical pharmacokinetics2023

Genetic Factors Influencing Warfarin Dose in Han Chinese Population: A Systematic Review and Meta-Analysis of Cohort Studies.

Zinan Zhao, Fei Zhao, Xiang Wang, Deping Liu, Junpeng Liu, Yatong Zhang, Xin Hu, Ming Zhao, Chao Tian, Shujie Dong and 1 more

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Clinical pharmacokinetics, 2023. 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
0.2field-weighted citation impact, top 45% of its field
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 citations in OpenAlex.

  1. Article
  2. 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

11 authors at 4 institutions in 4 countries.

Zinan ZhaoDepartment of Pharmacy, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), No. 1 Dahua Road, Dongdan, Dongcheng District, Beijing, 100730, China.ORCID 0000-0002-3797-8999
Fei ZhaoDepartment of Pharmacy, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), No. 1 Dahua Road, Dongdan, Dongcheng District, Beijing, 100730, China.
Xiang WangDepartment of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Deping LiuDepartment of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Junpeng LiuDepartment of Cardiology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Yatong ZhangDepartment of Pharmacy, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), No. 1 Dahua Road, Dongdan, Dongcheng District, Beijing, 100730, China.
Xin HuDepartment of Pharmacy, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), No. 1 Dahua Road, Dongdan, Dongcheng District, Beijing, 100730, China.
Ming ZhaoDepartment of Pharmacy, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), No. 1 Dahua Road, Dongdan, Dongcheng District, Beijing, 100730, China.
Chao TianDepartment of Pharmacy, Beijing Children's Hospital, Capital Medicine University, National Center for Children's Health, Beijing, 100045, China.
Shujie DongDepartment of Pharmacy, Peking University Third Hospital, Beijing, 100191, China.
Pengfei JinDepartment of Pharmacy, Beijing Hospital; National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences; Beijing Key Laboratory of Assessment of Clinical Drugs Risk and Individual Application (Beijing Hospital), No. 1 Dahua Road, Dongdan, Dongcheng District, Beijing, 100730, China. j790101@163.com.
Academy of Medical Sciences · GBChinese Academy of Medical Sciences & Peking Union Medical College · CNBeijing Children’s Hospital · CNPeking University · CN

Funding

China National Key R&D Program 2020YFC2008305
6 · The paper itself

Abstract

objectiveTo investigate the association of single nucleotide polymorphisms (SNPs) of various genes known to influence mean daily warfarin dose (MDWD) in the Han Chinese population.

methodsThe study is a systematic review and meta-analysis. Selected studies retrieved by searching Pubmed, Embase (Ovid), Medline, CNKI, Wanfang data, and SinoMed (from their inception to 31 August 2022) for the cohort studies assessing genetic variations that may possibly influence MDWD in Chinese patients were included.

resultA total of 46 studies including a total of 10,102 Han Chinese adult patients were finally included in the meta-analysis. The impact of 20 single nucleotide polymorphisms (SNPs) in 8 genes on MDWD was analyzed. The significant impact of some of these SNPs on MDWD requirements was demonstrated. Patients with CYP4F2 rs2108622 TT, EPHX1 rs2260863 GC, or NQO1 rs1800566 TT genotype required more than 10% higher MDWD. Furthermore, patients with ABCB1 rs2032582 GT or GG, or CALU rs2290228 TT genotype required more than 10% lower MDWD. Subgroup analysis showed that patients with EPHX1 rs2260863 GC genotype required 7% lower MDWD after heart valve replacement (HVR).

conclusionThis is the first systematic review and meta-analysis assessing the association between single nucleotide polymorphisms (SNPs) of various genes known to influence MDWD besides CYP2C9 and VKORC1 in the Han Chinese population. CYP4F2 (rs2108622), GGCX (rs12714145), EPHX1 (rs2292566 and rs2260863), ABCB1 (rs2032582), NQO1 (rs1800566), and CALU (rs2290228) SNPs might be moderate factors affecting MDWD requirements. REGISTERED INFORMATION: PROSPERO International Prospective Register of Systematic Reviews (CRD42022355130).

Indexed as

AnticoagulantsWarfarinAdultCytochrome P-450 CYP2C9Cytochrome P450 Family 4East Asian PeopleGenotypeHan Chinese peopleHumansPolymorphism, Single NucleotideVitamin K Epoxide ReductasesAnticoagulantsCytochrome P-450 CYP2C9Cytochrome P450 Family 4Vitamin K Epoxide ReductasesVKORC1 protein, humanWarfarin

Identifiers

PMID37273173
OpenAlexW4379376041

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.