Evidence map›Paper›PMID 34453556›Full record

ArticleEuropean journal of clinical pharmacology2022

To establish a model for the prediction of initial standard and maintenance doses of warfarin for the Han Chinese population based on gene polymorphism: a multicenter study.

Xiaotong Xia, Nianxu Huang, Boxia Li, Yan Li, Lang Zou, Dongdong Yuan, Banghua Huang, Yufei Bei, Yuxin Liu, Jinglan Fu and 5 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European journal of clinical pharmacology, 2022. 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
0.7field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  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

15 authors at 9 institutions in 1 country.

Xiaotong XiaDepartment of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Nianxu HuangDepartment of Pharmacy, Wuhan Asian Heart Hospital, Wuhan, Hubei, China.
Boxia LiDepartment of Pharmacy, The First Hospital of Lanzhou University, Lanzhou, Gansu, China.
Yan LiDepartment of Pharmacy, Shandong Provincial Qianfoshan Hospital, the First Hospital Affiliated With Shandong First Medical University, Jinan, Shangdong, China.
Lang ZouDepartment of Pharmacy, Second Affiliated Hospital, Army Medical University, Chongqing, China.
Dongdong YuanDepartment of Pharmacy, Zhengzhou Seventh People's Hospital, Zhengzhou, Henan, China.
Banghua HuangDepartment of Pharmacy, the First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
Yufei BeiDepartment of Pharmacy, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Yuxin LiuDepartment of Pharmacy, Huaihe Hospital of He-Nan University, Kaifeng, Henan, China.
Jinglan FuDepartment of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Tingting WuDepartment of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Wenjun ChenDepartment of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Shaojun JiangDepartment of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Meina LvDepartment of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Jinhua ZhangDepartment of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China. pollyzhang2006@126.com.ORCID http://orcid.org/0000-0002-5629-0348
Fujian Medical University · CNArmy Medical University · CNFirst Hospital of Lanzhou University · CNHenan University Huaihe Hospital and Huaihe Clinical Institute · CNKunming University of Science and Technology · CNNantong University · CNShandong Provincial QianFoShan Hospital · CNWuhan University · CNZhengzhou People's Hospital · CN

Funding

Natural Science Foundation of Fujian Province 2018Y0037
6 · The paper itself

Abstract

purposeThe purpose of this paper is to study the correlation between demographic and clinical factors and warfarin dose of patients in Chinese Han population taking warfarin and study gene polymorphisms impact of related gene loci (CYP2C9*3, VKORC1-1639G > A) on warfarin doses, to establish a model to predict initial standard dose and maintenance dose based on CYP2C9*3, VKORC1-1639G > A genotype.

methodsThe study collects the data of patients in our hospital and other subcenters which incorporates 2160 patients to establish the initial dose model and 1698 patients for the stable dose model, and sequences 26 multigene sites in 451 patients. Based on the patient's dosage, clinical data, and demographic characteristics, the genetic and non-genetic effects on the initial dose and stable dose of warfarin are calculated by using statistical methods, and the prediction model of initial standard dose and maintenance dose can be established via multiple linear regression.

resultsThe initial dose of warfarin (mg/day) was calculated as (1.346 + 0.350 × (VKORC1-1639G > A) - 0.273 × (CYP2C9*3) + 0.245 × (body surface area) - 0.003 × (age) - 0.036 × (amine-iodine) + 0.021 × (sex))

conclusionThe genetic and non-genetic factors affecting warfarin dose in Chinese Han population were studied systematically in this study. The pharmacogenomic dose prediction model constructed in this study can predict anticoagulant efficacy of warfarin and has potential application value in clinical practice.

Indexed as

AdultAgedAge FactorsAnticoagulantsAsian PeopleBody Surface AreaChinaComorbidityCytochrome P-450 CYP2C9Dose-Response Relationship, DrugEthnicityFemaleGenotypeHealth BehaviorHumansInternational Normalized RatioAnticoagulantsCytochrome P-450 CYP2C9WarfarinCYP2C9Gene polymorphismModelVKORC1Warfarin

Identifiers

PMID34453556
OpenAlexW3196088674

What OpenQuestion holds

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Registered trials

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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.